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 ID
BR
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.
- + 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
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
- Paid holidays plus Paid Time Off
About Us
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.
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