Senior Principal Consultant- Enterprise Data, Life Sciences

Senior Principal Consultant
- Enterprise Data, Life Sciences

State / Region / Province

Georgia, New Jersey, New York, Texas

Country

USA

Skills

Domain

Consulting

Interest Group

Company

ITL USA

Requisition

143657

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.

• 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.

• Bachelor’s degree required; advanced degree or equivalent experience preferred.
• + 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.

• 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…