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Senior Lead, Data Strategy & Marketing

stryker · Gurugram

New
Hybrid Senior 🇬🇧 English
Azure Databricks CDMP

Job description

About the role

Stryker is hiring a Senior Lead, Data Strategy & Marketing in Gurugram, on a hybrid basis. You will shape and execute the enterprise data strategy and multi-year roadmap, translating business goals into scalable data capabilities and a prioritized portfolio of strategic initiatives.

Key responsibilities

  • Shape and execute the enterprise data strategy and multi-year roadmap, aligned with business priorities and growth objectives.
  • Translate business goals into scalable data capabilities, target-state architecture and a prioritized portfolio of initiatives.
  • Establish and drive adoption of enterprise data standards, best practices and operating models across teams.
  • Partner with governance, product, platform and business leaders to strengthen data quality, security, privacy and stewardship.
  • Evaluate and recommend modern data management capabilities such as data platforms, metadata management, data catalog and master data solutions.
  • Champion AI, automation, Copilot and emerging agent-based technologies.
  • Define and track KPIs, maturity assessments and value realization metrics.
  • Lead intake, prioritization and business case development for data and analytics investments.
  • Influence senior stakeholders and governance boards, and mentor teams on data strategy and stakeholder engagement.

Required profile

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics or a related discipline.
  • 10+ years of experience in data strategy, data management, data architecture, analytics or a related discipline.
  • Experience developing data roadmaps, standards or operating models adopted across multiple teams.
  • Experience partnering with cross-functional stakeholders to align data investments.

Preferred qualifications

  • Data strategy or architecture direction for a modern cloud data platform (e.g., Azure/Databricks lakehouse).
  • Building business cases, roadmaps and executive strategy materials.
  • Exposure to AI/ML and generative AI in an enterprise data environment.
  • Certification in data governance, data management (e.g., CDMP), cloud data platform or enterprise architecture.

Questions fréquentes

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Source : ats:workday

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Published 12 hours ago

Expires 1 month from now

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stryker

Gurugram