Senior Principal Consultant- Enterprise Data, Life Sciences
2 days ago
New York
Senior Principal Consultant- Enterprise Data, Life Sciences Infosys Consulting is seeking an accomplished, forward-thinking Enterprise Data Senior Principal with deep expertise in data strategy, modern data platforms, advanced analytics, and AI/ML–enabled transformation programs. This role is ideal for a consulting leader who brings a strong blend of enterprise data architecture, data governance, cloud data modernization, and business transformation experience across large global enterprises. As a senior consulting professional, you will play a pivotal role in shaping next‑generation, AI‑augmented data ecosystems—where intelligent, autonomous data services govern, orchestrate, and activate enterprise-wide data for real-time decision-making. You will collaborate closely with clients across industries to design and deliver data‑driven business transformations, while contributing to internal capability development, thought leadership, and strategic firm‑building initiatives. RESPONSIBILITIES • Lead strategic enterprise data transformation programs for global clients, including data strategy, data modernization, and AI‑driven operating model redesign., • Provide thought leadership and vision on next‑gen data architectures, lakehouse platforms, metadata-driven pipelines, and agentic AI–powered data ecosystems., • Develop and deploy intelligent data platforms leveraging cloud-native services, automation frameworks, and self-optimizing data products., • Guide clients in transitioning from traditional BI ecosystems to autonomous, goal-driven data environments capable of adapting dynamically to business events, regulatory changes, and operational variability., • Drive definition and implementation of enterprise information models, data governance frameworks, data quality solutions, and master data strategies., • Partner with technology, domain, and analytics teams to conceptualize and implement high-value AI/ML and GenAI use cases across the enterprise., • Lead complex, multi-stakeholder programs spanning CDO organizations, business units, IT leadership, cloud partners, and data engineering teams., • Serve as a trusted advisor to senior executives, influencing decisions through data-driven insights, architectural best practices, and future-state visioning., • Mentor and coach consulting teams, ensuring high-quality delivery and capability growth., • Contribute actively to IC thought leadership through whitepapers, PoVs, frameworks, and accelerators in data and AI., • Drive practice development through recruiting support, community initiatives, knowledge sharing, and capability incubation. BASIC QUALIFICATIONS • Bachelor’s degree required; advanced degree or equivalent experience preferred., • 9+ years of total experience, including 7+ years in consulting focused on data, analytics, or digital transformation., • Proven experience designing or leading programs in enterprise data architecture, cloud data platforms, governance, metadata, and data quality., • Strong understanding of leading cloud ecosystems (Azure, AWS, GCP) and modern data platforms (Lakehouse, Data Mesh, Data Fabric)., • Experience delivering AI/ML or GenAI–enabled use cases and data solutions., • Demonstrated ability to interact and engage with C‑suite stakeholders, influencing strategic decisions., • Expertise with tools such as PowerPoint, Excel, and project management platforms to build client‑ready deliverables., • Ability to manage global, cross-functional, multi-vendor delivery teams., • Strong communication skills and executive presence., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time PREFERRED QUALIFICATIONS • MBA or Master’s degree in Data, Analytics, Engineering, or related fields., • Certifications in cloud platforms (Azure, AWS, GCP) or data engineering (Databricks, Snowflake, Collibra, Informatica, etc.)., • Hands-on implementation experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery, Redshift, or equivalents., • Experience with enterprise-scale data governance solutions (Collibra, Alation, Informatica Axon/EDC, etc.)., • Strong client-facing skills, including facilitation workshops, architecture review sessions, and executive presentations., • Ability to articulate the business value of data and AI initiatives to non-technical stakeholders. Estimated annual compensation will be as follows: In NY/NJ : $241,000 - $300,000 EEO/About Us : Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits: • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level Infosys Consulting is the global management and technology consulting practice of Infosys, a global leader in technology services and consulting. We combine the power of time-tested methodologies, people-driven innovation and disruptive technology to enable leaders of the world’s top brands pursue a path of smart transformation. Together with our clients, internal and external partners, we co-create and execute pragmatic strategies and solutions that transform organizations and define the future of business. Our dynamically growing consultancy offers our consultants: • Ability to design and implement end-to-end solutions at scale, • A flat organization structure with direct access to our senior-most leaders, • An entrepreneurial environment full of bright, highly motivated consultants, • Opportunities for motivated consultants to impact local communities, • The ability to design your career and drive your professional learning and development, • A truly global culture . EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability