Senior Lead, Data Strategy & Marketing

Posted 7 Days Ago
Be an Early Applicant
Gurugram, Haryana, IND
In-Office
Senior level
Healthtech • Other • Robotics • Biotech • Manufacturing
Together with our customers, we're on a mission to make healthcare better.
The Role
Leads enterprise data strategy, roadmaps, governance, standards, architecture direction, and investment prioritization. Partners with senior stakeholders to improve data quality, security, privacy, stewardship, and platform capabilities. Evaluates modern data management technologies, champions AI and automation adoption, tracks KPIs and value realization, develops executive strategy materials, and mentors teams. Requires 10+ years of experience in data strategy, management, architecture, analytics, or a related field.
Summary Generated by Built In
Work Flexibility: Hybrid

What you will do:
  • 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.

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%

Skills Required

  • 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 prioritize and align data investments
  • Strong understanding of modern data platforms, data governance, and data quality practices
  • Experience defining data strategy or architecture direction for a modern cloud data platform such as Azure or Databricks lakehouse
  • Experience building business cases, roadmaps, and executive-level strategy materials
  • Exposure to AI/ML and generative AI enablement within an enterprise data environment
  • Data governance, data management such as CDMP, cloud data platform, or enterprise architecture certification

Stryker Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stryker and has not been reviewed or approved by Stryker.

  • Healthcare Strength — Multiple medical plan options with HSA support and global mental‑health access indicate broad, accessible care. These features materially enhance the overall value of the total‑rewards package.
  • Retirement Support — A meaningful 401(k) company match with potential additional company contribution, alongside an ESPP, supports long‑term savings and wealth building. Documented plan specifics help employees understand eligibility, timing, and vesting mechanics.
  • Parental & Family Support — Paid parental and caregiver leave, adoption and surrogacy assistance, and practical supports like breast milk shipping reflect a comprehensive, family‑friendly approach. These offerings address varied family‑building paths and caregiving needs.

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The Company
HQ: Portage, MI
51,000 Employees
Year Founded: 1941

What We Do

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com. Together with our customers, we are driven to make healthcare better.

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