Senior Principal Consultant- Enterprise Data, Life Sciences
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.
- 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
- 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.
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Perks and Benefits
Health and Wellness
- Health Insurance
- Life Insurance
- HSA
- Short-Term Disability
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- On-site/Nearby Childcare
Work Flexibility
Office Life and Perks
- Commuter Benefits Program
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Sabbatical
Financial and Retirement
- 401(K)
- Relocation Assistance
Professional Development
- Learning and Development Stipend
Diversity and Inclusion
- Employee Resource Groups (ERG)