Enterprise Architecture, Data & Analytics

@Biocon Biologics Limited posted 2 months ago
  • Post Date : August 19, 2025
  • Salary: ₹1,000,000.00 - ₹5,000,000.00 / Yearly
  • View(s) 264
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Job Detail

  • Job ID 57532

Job Description



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.
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