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

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
• 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.