Stryker

Senior Lead, Data Strategy & Marketing

India · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

Work Flexibility: Hybrid

Shape and execute the enterprise data strategy and multi-year roadmap, aligning data investments with business priorities and growth objectives.
Translate business goals into scalable data capabilities, target-state architecture, and a prioritized portfolio of strategic 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, including data platforms, metadata management, data catalog, and master data solutions.
Champion the adoption of AI, automation, Copilot, and emerging agent-based technologies to unlock business value and improve ways of working.
Define and track KPIs, maturity assessments, and value realization metrics to measure progress and demonstrate business impact.
Lead intake, prioritization, and business case development for strategic data and analytics investments.
Influence senior stakeholders and governance boards through clear communication of strategy, roadmaps, trade-offs, and recommendations.
Develop strategy artifacts, standards, and reference materials while mentoring teams on data strategy, stakeholder engagement, and best practices.

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What you will need:

Required Qualification:

Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or related discipline require.
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 prioritize and align data investments.

Strong understanding of modern data platforms, data governance, and data quality practices.

Preferred Qualification:

Experience defining data strategy or architecture direction for a modern cloud data platform (e.g., Azure/Databricks lakehouse) preferred.
Experience building business cases, roadmaps, and executive-level strategy materials preferred.
Exposure to AI/ML and generative AI enablement within an enterprise data environment preferred.
Data governance, data management (e.g., CDMP), cloud data platform, or enterprise architecture certification preferred.

Travel Percentage: 10%

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