Director, Medtech Technology Data Platforms

Johnson & Johnson Johnson & Johnson · Pharma · Mumbai, Maharashtra, India

Johnson & Johnson is seeking a Director, MedTech Technology Data Platforms to lead the strategy and execution of an enterprise-grade data platform. The role focuses on advancing data maturity, strengthening data quality and governance, and accelerating business-unit agility through a lean, federated operating model. Key responsibilities include defining the roadmap for a cloud-scale data platform, embedding AI and automation across the data lifecycle, scaling a data-as-a-product model, developing metadata capabilities, and implementing self-service access patterns. The role also involves co-leading the MedTech Data Office, driving federated governance, owning MDM strategy, and building/leading a distributed team. The ideal candidate will have 15+ years of IT leadership experience in regulated industries, with a strong track record in building and running enterprise-scale data platforms and embedding AI/ML and GenAI into platform services.

What you'd actually do

  1. Define and deliver the global roadmap for a cloud-scale, governed data platform (Lakehouse/data mesh patterns) that simplify the legacy platforms, reduces tool and pipeline redundancy and improves data maturity across MedTech.
  2. Embed AI and automation across the data lifecycle (ingestion, transformation, quality monitoring, remediation and operations) to accelerate time-to-insight and reduce manual effort.
  3. Scale a data-as-a-product operating model with defined ownership, SLAs, lifecycle management and measurable outcomes for curated data products.
  4. Develop and mature metadata capabilities — catalog, lineage and business glossary — to improve discoverability, trust and reuse.
  5. Design and implement policy-based self-service access patterns (data marketplace) that simplify consumption while implementing compliance.

Skills

Required

  • Computer Science, Engineering, or related field, or equivalent combination of education and experience.
  • 15+ years of progressive IT leadership with major accountability for Data & Analytics and platform delivery in regulated industries (MedTech, life sciences, or equivalent).
  • Consistent record building and running enterprise-scale data platforms (cloud-native, Lakehouse, data mesh) and delivering shared capabilities across global organizations.
  • Hands-on and strategic mastery of cloud platforms (Azure and AWS) and modern data architectures (data Lakehouse/warehouse, feature stores, streaming, APIs).
  • Demonstrated success operationalizing federated data governance, metadata/lineage, and data quality within a product-oriented model.
  • Experience embedding AI/ML and GenAI into platform services and operations (automation, intelligent workflows, quality monitoring).
  • Leadership experience in Master Data Management and integration across ERP/CRM landscapes.
  • Strong executive presence with a history of influencing senior stakeholders in sophisticated, matrixed, global organizations.
  • Outcome-focused decision maker: prioritizes investments, defines business-aligned goals and milestones, and measures value delivery.
  • Hands-on knowledge of privacy, security, and data risk controls in regulated environments; experienced with compliance-driven controls and audits.
  • Demonstrated FinOps and cost-optimization experience for large-scale data platforms.

Nice to have

  • Business Alignment
  • Business Architecture
  • Business Process Design
  • Business Savvy
  • Computer Programming
  • Developing Others
  • Human-Computer Interaction (HCI)
  • Inclusive Leadership
  • Leadership
  • Platform as a Service (PaaS)
  • Product Knowledge
  • Program Management
  • Software Development Management
  • Strategic Change
  • Succession Planning
  • Tactical Planning
  • Technical Credibility

What the JD emphasized

  • regulated industries
  • AI and automation
  • AI/ML and GenAI

Other signals

  • Embed AI and automation across the data lifecycle
  • Experience embedding AI/ML and GenAI into platform services and operations