Delivery Lead - Data & AI
4 days ago
Cassville
Job DescriptionRole Overview We are seeking an experienced Delivery Lead – Data & AI to drive end-to-end delivery of large-scale data transformation initiatives, including cloud migration and modern data platform implementations using Snowflake. This role will be responsible for leading cross-functional teams, managing client relationships, ensuring high-quality delivery, and enabling organizations to unlock value from data and AI solutions.The ideal candidate combines strong program delivery experience, deep understanding of modern data platforms, and hands-on knowledge of cloud-based data ecosystems.Key Responsibilities · Lead end-to-end delivery of Data & AI transformation programs, including data platform modernization, cloud migration, and advanced analytics initiatives. · Manage multiple data engineering and AI projects while ensuring on-time delivery, quality, and budget adherence. · Establish delivery governance, risk management frameworks, and program reporting for leadership and clients. Cloud & Data Platform Transformation · Lead migration of legacy/on-prem data platforms to cloud environments such as AWS, Azure, or GCP. · Drive design and implementation of modern data architectures using Snowflake as the central data platform. · Ensure best practices in data ingestion, transformation, orchestration, and data governance. Snowflake & Data Engineering Enablement · Oversee implementation of Snowflake-based data warehouses/lakehouses. · Guide teams on performance optimization, data modeling, cost optimization, and security within Snowflake. · Ensure integration with modern data tools such as dbt, Airflow, Spark, Kafka, and ETL/ELT frameworks. AI & Advanced Analytics Enablement · Collaborate with data science and AI teams to enable scalable ML/AI pipelines on cloud data platforms. · Support initiatives in predictive analytics, machine learning, and AI-driven insights using modern data infrastructure. Stakeholder & Client Engagement · Serve as the primary interface for client stakeholders, including CIO, CDO, and business leaders. · Translate business objectives into scalable data architecture and delivery roadmaps. · Present program status, risks, and outcomes to senior leadership. Team Leadership · Lead and mentor data engineers, architects, AI engineers, and analysts. · Build strong delivery teams and ensure technical excellence and best practices. · Foster a culture of innovation, accountability, and continuous improvement.