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Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Job Locations US-NJ-Paramus ID 2026-1963 Category Information Technology Type Regular Full-Time The Senior Manager, Commercial IT Data Engineer is a hands-on technical role responsible for designing, building, and maintaining enterprise data integrations and commercial data pipelines supporting life sciences operations. A strong foundation in SQL and relational data modeling is essential, as the role will regularly analyze, validate, transform, and optimize large commercial healthcare datasets. This role supports Snowflake analytics environments, IQVIA data ingestion (including Xponent, DDD, Prescriber/HCP, HCO, OneKey reference data, and affiliation datasets), and master data platforms including Reltio (preferred) or equivalent MDM solutions. The position partners closely with Commercial Operations, Data Operations, and managed service vendors to ensure reliable, scalable, and audit-ready data flows. Success in this role requires deep expertise in Reltio and/or on-premise MDM platforms, a strong understanding of Master Data Management principles, data governance, and data quality practices. Advanced SQL skills, experience with ETL tools, and familiarity with metadata management and data integration best practices are essential. Strong analytical thinking, problem-solving, and troubleshooting capabilities are also critical. Design, develop, and maintain enterprise data integrations across CRM, MDM, Snowflake, and external data providers. • Write, optimize, and troubleshoot complex SQL queries to support data ingestion, transformation, reconciliation, and validation., • Build and support ingestion pipelines for IQVIA datasets including Xponent prescription data, DDD datasets, OneKey reference data, Prescriber (HCP), and HCO data., • Process and integrate IQVIA affiliation datasets to support healthcare provider-to-organization relationships and hierarchy mapping., • Use SQL to investigate data issues, reconcile commercial datasets, and validate transformation logic., • Develop scalable Snowflake data models optimized for large commercial healthcare datasets., • Implement source-to-target mappings for IQVIA files including deciles, specialty alignment, territory mapping, brick-level data, and affiliations., • Support customer master alignment between IQVIA datasets, CRM platforms (e.g., Veeva), and Reltio or Informatica MDM platforms., • Support master data governance processes including survivorship rules, crosswalk mappings, golden record creation, and hierarchy management., • Develop automated validation, reconciliation, and monitoring controls for prescription, prescriber, and affiliation data., • Review vendor-delivered integration logic and SQL transformations to ensure scalability, performance, and maintainability., • Troubleshoot integration failures, transformation issues, API exchanges, and Snowflake performance bottlenecks., • Maintain Dev/Test/Prod deployment discipline and version control best practices., • Document transformation logic, SQL validation procedures, data lineage, and IQVIA file processing standards to support audit readiness., • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred. Certifications in Snowflake, SQL, data engineering, or MDM platforms are a plus., • 3-7 years of hands-on data engineering or data integration experience within life sciences, pharma, or biotech., • Strong SQL expertise with ability to write complex queries, troubleshoot data issues, and optimize query performance., • Direct experience working with IQVIA commercial datasets including Xponent, DDD, Prescriber (HCP), HCO, OneKey reference data, and affiliation files., • Understanding of healthcare commercial data structures including prescriber hierarchies, affiliations, specialties, deciles, territory alignment, and brick-level geography., • Experience supporting enterprise data integrations using ETL tools, APIs, or file-based exchange processes., • Experience with Snowflake or other cloud data warehouse platforms., • Experience supporting or integrating with Reltio MDM (preferred) or equivalent master data platforms., • Experience with migrating from Informatica MDM to Reltio MDM is a plus., • Understanding of data stewardship practices and master data governance principles., • Strong debugging, reconciliation, and root cause analysis capabilities.

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Title: Associate Director of Business Intelligence Department: Enterprise Applications Position Type: Staff Job Description: -Lead the implementation of an enterprise wide analytics strategy utilizing and having expertise in the MicroStrategy Business Intelligence tool, the Snowflake Platform and Matillion Integration Product. This implementation incorporates the needs from various campus divisions, aligned with the overall IT strategy. -Lead the ongoing management of the enterprise scale analytics platform, business intelligence tools and data management tools previously mentioned via expertise in SQL and prior validation frameworks. -Contribute and support the instituting of data governance using Data Cookbook. Having experience in partnering in the support by working with the Office of Institutional Effectiveness, Finance, HR, and other key members of the campus community. -Provide innovative and forward thinking leadership towards analytics and business intelligence with the specific technology stack mentioned, champion innovation and create a culture of continuous improvement where new thinking is appreciated. -Strengthen data systems by ensuring architecture, standards and methods are documented and followed. Knowledge of concepts such as Data Model Patterns, Slowly Changing Dimensions are required. -Institute appropriate controls and security measures that manage the university's data. Apply risk management processes to identify, manage, and mitigate risk for all enterprise applications. Ensure appropriate policies and procedures are created and implemented. -Implement application performance management strategies, database strategies, monitor strategies for MicroStrategy, Snowflake and for modern cloud platforms. Facilitate proactive planning in Smartsheet to improve overall application performance for all relevant applications that are in scope for enterprise analytics. -Direct the efforts of the business intelligence team with deep and diverse technical capabilities using prior leadership experience, encourage and facilitate on-going professional development in a field where technological change and innovation is constant. -Collaborate with the enterprise applications group leadership and IST counterparts on strategies that benefit the division and the campus. -Engage regularly with campus partners, including faculty, staff, students and alumni on topics and issues related to enterprise analytics, data and reporting needs. -Handle vendor relationships and resources utilizing existing prior Vendor Management experience. Education & Experience: -Requires a Master's degree in Information Systems & Operations Management and 4 years of experience in the job offered or 4 years of experience in the Related Occupation. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Related Occupation: Applications Programmer or any other job title performing the following job duties: -Create training and rollout approach for BI Dashboards for the University community. -Provide innovative and forward thinking leadership towards analytics and business intelligence with the specific technology stack mentioned, champion innovation and create a culture of continuous improvement where new thinking is appreciated. -Assist in evangelizing and presenting BI capabilities, plans and benefits to Stakeholders. -Engage regularly with campus partners, including faculty, staff, students and alumni on topics and issues related to enterprise analytics, data and reporting needs. -Participate in the requirements gathering, design, development, maintenance, support and documentation of Reporting and Analytics objects including logical data models, operational reports, and dashboards across multiple data domains supported by the team. -Provide expertise in data modeling, database design, data governance and master data management. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $93,283.67-$175,842.90 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Job Locations US-NJ-Paramus ID 2026-1946 Category Information Technology Type Regular Full-Time The Senior Data Engineer, Biz Ops will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AInative use cases, and establishing the foundational data architecture for our endtoend decisionintelligence platform. You will design scalable data ecosystems-including Data Lakes, Data Pipelines, and semantic modeling layers-using modern engineering standards (dbt, orchestration frameworks, CI/CD). Working closely with commercial and business operations experts, you will dissect existing workflows and reimagine them as AI-ready, streamlined processes in collaboration with AI Scientists and AI Engineers. You will translate ambiguous operational and business challenges into clean, reliable, ontology-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up.aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a highimpact senior role for someone who thrives in owning a data ecosystem endtoend and building AIcentric data infrastructure from the ground up. Analyze existing databases and redesign them for AI/ML readiness, including ontologydriven and semantic data modeling. • Architect and implement centralized Data Lake and scalable, robust data pipelines supporting operational workflows and AIdriven decision processes., • Build and maintain highquality data transformations using dbt and enforce software engineering best practices across the data stack., • Design featureready data models to support AI/ML use cases such as forecasting, classification, and optimization., • Develop secure and reliable data ingestion frameworks (batch and streaming) with strong observability and performance controls., • Partner with Commercial, Marketing, and AI teams to translate business problems into data requirements, semantic models, and scalable pipelines., • Implement data quality, lineage, and governance practices aligned with enterprise standards., • Lead technical direction on modern data stack architecture and continuously improve scalability, efficiency, and maintainability., • Contribute to an agile, experimentationdriven culture, balancing rapid PoC execution with longterm architectural integrity., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related field., • Experience: 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines., • Skills:, • Strong programming proficiency in Python and PySpark for largescale distributed data processing, data manipulation, automation, and pipeline development., • Expertlevel SQL for data modeling, complex transformations, and performance optimization., • Experience with modern data lake table formats such as Apache Iceberg., • Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing., • Handson experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers)., • Knowledge of core AWS or Azure data services and data observability practices., • Experience optimizing data models for BI and visualization tools (e.g., Tableau)., • Ability to define business metrics and derive semantic meaning from operational KPIs. Strongly Preferred • Master's degree or higher in a quantitative or technical field., • Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers., • Knowledge of ontologybased modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric)., • Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs., • Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations., • Experience in regulated industries (e.g., biopharma, healthcare, finance)., • Experience in a BizOps or highly crossfunctional technical role., • Handson experience with Snowflake architecture. Who Thrives in This Role • Someone who enjoys owning a data ecosystem endtoend and building from zero to one., • A strategic thinker who balances strong technical depth with understanding of real business context., • An engineer who thrives in close collaboration with Commercial and AI teams to define how data powers decisions., • A builder comfortable operating in a fastpaced, startuplike environment where innovation and speed matter., • An "Agile Operator" who can rapidly prototype for PoCs while architecting for longterm scalability and reliability.

Join one of the fasted growing AI/ML services companies! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $190,000 per year A bit about us: We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way. Why join us? Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications. Job Details This job is 100% remote but will require travel to customer sites throughout the US. We are looking for someone who has the following: At least 5 years as a customer-facing solutions architect. Experience with enterprise customers and supporting product adoption and services expansion. Must be able to write Python or Scala. With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases. Experience working with a wide variety of data sources, including MySQL, Kafka, and business app's like SAP and ORCL. Finally, must have experience with Databricks OR Snowflake OR Redshift, or EMR. If this aligns with the work you've done in the past, please apply, or email Adam Bennett @ - and put "Solutions Arch" in the subject line. Thank you! Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Ability to translate risk requirements into technical solutions and data contracts. The position is for a Techno-Functional Developer to design, enhance, and maintain the Market Risk Time Series infrastructure built on Snowflake and AWS.

Im working closely with a high growth AI platform in the productivity and collaboration space thats becoming increasingly strategic for modern teams.The company has crossed $600M in ARR, carries a $11B+ valuation, and is relied on daily by organizations like Amazon, Uber, Snowflake, Plaid, and Figma

This role is responsible for developing, enhancing, and supporting high-performance Oracle PL/SQL-based data solutions while contributing to ongoing data modernization initiatives leveraging the Snowflake cloud data platform. The ideal candidate will have strong database engineering fundamentals, ha

Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.Strong hands-on experience with Oracle SQL and PL/SQL in enterprise environments.Proven experience developing and supporting complex PL/SQL-based data solutions.Experience working with Snowflake as a cloud data

Deep understanding of modern data platforms, including Snowflake, SQL optimization, data pipelines, and efficient data access patterns for large-scale analytics and AI workloads. Strong data and analytical skills, including proficiency in SQL and modern data platforms such as Snowflake or other larg

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are seeking a Snowflake Data Architect with strong experience designing cloud data platforms and building/orchestrating ETL/ELT pipelines. This role will lead end-to-end data architecture on Snowflake, define standards and best practices, and partner with engineering and business teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate is hands-on, comfortable guiding teams, and experienced in modern orchestration and automation practices. Essential Duties & Responsibilities: • Define strategy for legacy system decommissioning, including data extraction, migration, translation, validation, and long-term archival access., • Architect ETL/ELT data pipelines from legacy electronic medical record (EMR/EHR) systems (e.g., Cerner, eClinicalWorks (eCW), NextGen,) including both structured and unstructured content into the LKOasis platform leveraging Snowflake., • Own and architect the Medallion architecture (Bronze/Silver/Gold layers), establishing standards for ingestion, curation, quality, lineage, and consumption-ready datasets., • Build strategy to identify change records (CDC/incrementals) and implement them in a Medallion (Bronze/Silver/Gold) design so downstream tables always reflect the latest changes., • Design, build, and optimize ETL/ELT pipelines for batch and incremental processing., • Orchestrate pipelines using tools such as Airflow, ADF, dbt or similar schedulers/orchestrators., • Establish and enforce best practices for performance and cost optimization (warehouse sizing, workload isolation, clustering, query tuning)., • Implement Snowflake capabilities such as stages, file formats, Snowpipe, Streams/Tasks, stored procedures, and secure data sharing as needed., • Create data quality, testing, and monitoring frameworks (validation checks, SLAs, alerting, incident triage)., • Develop security and governance controls (RBAC, masking policies, row access policies, audit/logging)., • Partner with stakeholders to translate requirements into curated datasets/data products and documentation., • Lead implementation of Snowflake Container Services (SCS) to run and manage containerized workloads that support data ingestion, processing, and platform integrations within Snowflake., • 7+ years of experience in data engineering and/or data architecture, including 3+ years working with Snowflake., • Proven experience building and orchestrating ETL/ELT pipelines in production environments., • Strong expertise in Snowflake architecture and development (SQL, performance tuning, Snowpipe, Streams/Tasks, UDFs/stored procedures)., • Hands-on experience with at least one orchestration/transformation stack. Airflow and/or dbt preferred., • Strong SQL skills and programming experience., • Experience with cloud platforms and storage (AWS S3, Azure ADLS, or GCP GCS)., • Strong understanding of data integration patterns (CDC, incremental loads, semi-structured data like JSON/Parquet)., • Experience implementing data governance and security controls in cloud data platforms., • SnowPro certification (Core or Advanced). ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit . ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Job Description: Palantir Data Engineer We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP. The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus. Location – Jersey City, NJ Key Requirements • 3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms., • 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications., • Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript., • Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript., • Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift)., • Deep understanding of microservices architecture and distributed systems., • Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines., • Experience with big data technologies like Snowflake., • Strong problem-solving and performance optimization skills., • Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes., • Experience working in agile environments delivering complex data engineering solutions., • Palantir Foundry certification or demonstrated project experience is highly preferred., • 3+ years of work experience with Data Engineering, • 2+ years of work experience with Palantir, • 3+ years of work experience with Python (Programming Language)

Job DescriptionJob Title: Senior Product Manager – Salesforce CRM Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a Senior Product Manager to lead the strategic vision, product roadmap, and enterprise adoption of Salesforce CRM and Analytics across our healthcare payer ecosystem. This role will serve as the bridge between business strategy and technology delivery—driving platform optimization, data-driven decision-making, and customer engagement across Sales, Service, and Care Management functions. You will work cross-functionally with business stakeholders, data teams, engineering, and Salesforce developers to define and deliver scalable, compliant, and actionable solutions across Salesforce Sales Cloud, Service Cloud, and CRM Analytics (formerly Einstein Analytics). The ideal candidate brings strong experience in Salesforce strategy and governance, exceptional data fluency, and a deep understanding of healthcare payer operations. Key Responsibilities · Define and own the Salesforce CRM and Analytics product strategy aligned with enterprise objectives, focusing on payer-specific use cases (e.g., provider engagement, member support, care management, sales enablement). · Translate business priorities into a clear Salesforce product roadmap, including data modeling, advanced reporting, dashboarding, and analytics solutions. · Lead platform governance and standards, ensuring consistency, scalability, and alignment with security, compliance (e.g., HIPAA), and enterprise architecture. · Oversee development of advanced dashboards, reports, and storytelling features in Salesforce CRM Analytics, leveraging SAQL, lenses, and datasets to support executive and operational decision-making. · Partner with business and technical stakeholders to gather requirements and prioritize high-impact use cases across Sales, Service, and Operations. · Lead strategic data integration initiatives, ensuring seamless connectivity between Salesforce, Snowflake, legacy systems, and external data sources. · Collaborate with Salesforce developers and architects to define scalable solutions using Apex, LWC, SOQL, Async Apex, Visualforce, and automation tools (Flows, Process Builder). · Champion data governance, access control, and compliance policies on the Salesforce platform, working closely with InfoSec and Data Privacy teams. · Establish and track key KPIs and adoption metrics, ensuring continuous improvement in platform usability, data quality, and reporting accuracy. · Serve as a thought leader on CRM analytics and Salesforce innovation, identifying opportunities to leverage emerging features, AI capabilities, and platform enhancements. Required Qualifications · 7+ years of product management or platform ownership experience, with at least 4 years focused on Salesforce CRM and analytics in a large enterprise environment. · Experience in healthcare payer organizations with a strong understanding of payer business processes (e.g., member engagement, provider contracting, care coordination). · Proven track record of leading cross-functional teams to deliver enterprise-grade Salesforce solutions, including Sales Cloud, Service Cloud, and CRM Analytics. · Proficiency in Salesforce CRM Analytics (SAQL, dataflows, lenses, datasets, and dashboards), as well as a solid grasp of data visualization best practices. · Hands-on understanding of Salesforce configuration and customization tools, including Apex, LWC, Flows, and security/sharing settings. · Deep understanding of data modeling, ETL processes, and CRM data integration with systems like Snowflake or other third-party platforms. · Strong communication, stakeholder engagement, and executive presentation skills. · Experience implementing and maintaining Salesforce platform best practices, with a focus on scalability, compliance, and governance. Preferred Qualifications · Salesforce certifications (e.g., Salesforce Certified Administrator, Platform App Builder, or CRM Analytics & Einstein Discovery Consultant) · Familiarity with payer-specific analytics use cases, including risk stratification, member segmentation, or provider network performance. · Experience managing Salesforce COEs (Centers of Excellence) or participating in platform governance boards. · Exposure to AI/ML capabilities within Salesforce CRM Analytics or roadmap planning for advanced predictive models. Education · Bachelor’s degree in Computer Science, Data Science, Business, or Healthcare Administration required. · Master’s degree or equivalent experience in Product Management, Health Informatics, or Data Analytics preferred.

We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innova

With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level. Snowflake has revolutionized data management by harnessing the power of the public cloud to create the AI Data Cl

With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. Snowflake employees must abide by the company's data security plan as an essential part of their duties. We are loo

Position: Cortex Snowflake Consultant. Deep understanding of Snowflake's architecture, features, and capabilities.

With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. Are you ready for the experience of your career at a high-growth company? Do you enjoy building? Do you want to wor

Develop ingestion pipelines using Fivetran; model and transform data in dbt Cloud; and manage structured datasets in Snowflake. Strong hands‑on experience with Snowflake, Fivetran, and dbt Cloud.

Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. As a Deal Desk Manager a

Dream of joining the team behind the world’s largest online retailer? Now’s your chance!.American Career Guide is helping connect motivated candidates to current Amazon opportunities.From logistics to operations, roles are available across various departments with competitive benefits.Start your

A leading cloud data platform provider is seeking a Director of AI & Data Enterprise Architecture.This executive will lead a specialized team to deliver expert guidance for complex cloud integration while influencing technology decisions across Fortune 500 enterprises.Candidates should have over 15

CMA CGM Group - - Responsibilities: Receiving: unload, verify delivery, inspect quality and quantity; Picking: fulfill requisitions and select items for production; Packing: prepare parcels and label items; Releasing: palletize orders and prepare shipment paperwork; Inventory control: count and rec

We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that's all in on impact, innova

OnTrac - 57-47 47th St - Responsibilities: Unload trailers and sort packages by zip codes; Load trucks for deliveries; Be a team player everyone works together to get the job done; Unpack and handle packages safely in a fast-paced warehouse environment; Adhere to safety protocols and maintain a saf

Cardinal Health - - Responsibilities: Follow established Standard Operating Procedures (SOP's) to process orders including accurately picking, performing quality control checks, sorting, consolidating freight, building, and wrapping pallets, packing, loading and preparing the orders for shipment; C

Ferguson - - Responsibilities: Safely operate a stand-up forklift (order selector/cherry picker) to pull and prepare outbound customer orders; Build, wrap, sort, and transport pallets and packages; Use technology like RF devices to sort, scan, and prepare orders; Accurately and timely receive, veri

Cardinal Health - - Responsibilities: Follow SOPs to process orders including picking, quality checks, sorting, consolidating freight, building and wrapping pallets, packing, loading, and preparing orders for shipment; Cross-train in multiple warehouse areas and participate in projects; Receive lar

Aerotek - - Responsibilities: Complete job cards, routers, and job documentation.Maintain material traceability by completing records of materials usage.Monitor and perform visual and tactile inspection of assembled parts.Perform proof-loading of assembled parts.Gather samples for start-up and in-p

Daikin Comfort - Metropolitan Avenue - Responsibilities: Operate forklift and other warehouse equipment to load/unload and transfer materials; Receive items per procedures and stock in assigned locations; Maintain inventory and prepare cycle counts; Complete Will Calls and relevant paperwork accurat

Avolta - - Responsibilities: Receive, count, and verify incoming merchandise; report shortages or overages to management promptly.Process and complete all required documentation for merchandise returns to vendors.Assist with stock replenishment for sales floors and backrooms; ensure timely and accu

Cardinal Health - - Responsibilities: Follow established Standard Operating Procedures (SOP's) to process orders including accurately picking, performing quality control checks, sorting, consolidating freight, building, and wrapping pallets, packing, loading and preparing the orders for shipment; R

Responsibilities: Loading and unloading cargo; Sorting and palletizing items; Auditing and repacking; Housekeeping and site cleanup; Select and move freight to proper locations.

Kellermeyer Bergensons Services - 600 Washington Avenue - Responsibilities: Clean restrooms, break areas, and office areas; Sweep, mop, dust, and remove trash; Ensure walkways are clean and tidy; Clean totes and other items; Follow safety and quality standards.

Overnight Warehouse Worker - Amtrak - NYC Sunnyside Yard.The warehouse worker's main responsibilities include receiving and processing incoming products, preparing orders for transport, and performing inventory and quality control duties.This person ensures the warehouse is clean and organized, main

Warehouse Associate - Receiving.At Phillip Jeffries, we believe beautiful design begins with passion, integrity, and connection.What started in 1976 as a small family business with just ten grasscloths in a New Jersey garage has grown into a global luxury brand offering more than 1,000 wallcoverings

Recyclers Plaza is a growing logistics and distribution company dedicated to providing efficient and reliable service to our clients.We are looking for hardworking and dependable individuals to join our warehouse team.As a Warehouse Associate, you will be responsible for receiving, storing, picking,

At Phillip Jeffries, we believe beautiful design begins with passion, integrity, and connection.What started in 1976 as a small family business with just ten grasscloths in a New Jersey garage has grown into a global luxury brand offering more than 1,000 wallcoverings to designers and architects aro

Haddad Plumbing and Heating Inc.New Jersey, New York City, and Westchester County in mid-rise and high-rise buildings with exceptional work and a proven track record.This is a terrific opportunity for a well organized and outgoing individual to have a great career in a great industry.Receive and pro

Responsible for the daily movement of materials, finished goods inventory and staging of shipment of completed orders.Compliance with cGMP (current Manufacturing Practices) and all Company SOP's (Standard Operating Procedures).Manually or mechanically load and unload materials from pallets, skids, p

Plant 428 Moonachie - Moonachie, NJ 07074.Job Shift: Overnight/Early Morning.Education Level: Not Specified.Part-Time Overnight/Early Morning Hours.This is a temporary entry level non-exempt position.Under the direction of the Distribution Center Manager (DCM) or the Assistant Distribution Manager (