Experience: 20 – 25 Years
Education: B.E. / B.Tech. (Computer Science, Engineering, or related field) | Master’s preferred
Role Summary
We are seeking a highly accomplished Enterprise Architecture, Data & Analytics leader to drive strategic architecture, advanced analytics, automation, and AI capabilities across the organization. The ideal candidate will have 20+ years of proven leadership experience in setting up and scaling Data & Analytics Centers of Excellence (CoEs), with deep expertise in Cloud, Data Lakes, AI/GenAI, and enterprise platforms. This role demands hands-on expertise in Data, Analytics, and AI, along with the ability to influence business strategy, manage stakeholder expectations, and drive innovation across regulated and complex enterprise environments.
Key Responsibilities
Strategic Architecture & Planning
- Define and implement enterprise-wide Data, Analytics, and AI strategies aligned with business goals.
- Establish and scale the Data & Analytics CoE ensuring agility, scalability, and long-term innovation.
Data Lake Architecture
- Design, implement, and manage secure, scalable Azure Data Services-based Data Lakes.
- Enable integration of structured, semi-structured, and unstructured data for enterprise-wide analytics.
Data Management & Governance
- Lead enterprise data management covering metadata, lifecycle, and master data management.
- Implement data governance frameworks ensuring compliance with regulatory standards (GxP, GDPR, etc.).
- Drive initiatives to enhance data quality, consistency, and accessibility.
Analytics & Data Science
- Architect advanced analytics platforms for BI, predictive modeling, and data science.
- Collaborate with cross-functional teams to operationalize insights for business decision-making.
- Foster a data-driven culture across global business units.
Professional Experience & Qualifications
- 20–25 years of proven expertise in Enterprise Data Architecture, Analytics, and AI/ML platforms.
- Strong leadership in building and leading global Data & Analytics CoEs.
- In-depth knowledge of cloud and hybrid data platforms with security-first design.
- Hands-on expertise in data modeling (logical, physical, semantic, integration) and solution design patterns.
- Experience in regulated industries (Life Sciences preferred).
- Familiarity with RPA, CRM systems, ERP, Middleware, and Web/App platforms.
- Strong knowledge of Agile/Scrum methodologies.
- Excellent stakeholder management, strategic thinking, and communication skills.