VP, Enterprise Data & AI Readiness

Boston Scientific

Marlboro (MA)

On-site

USD 226,000 - 429,000

Full time

5 days ago
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Job summary

Boston Scientific seeks a Vice President, Data Enablement and AI Data Readiness to define and deliver the enterprise data strategy across governance and AI-ready data products. You will drive modernization of data architecture, platforms, metadata and lineage while partnering with AI and analytics teams to enable scalable, trusted data products.

The role requires executive leadership to align divisions and regions, and to deliver measurable improvements in data trust, quality and value.

Qualifications

  • Minimum of 20 years' experience in data management and governance, including leadership of senior directors/managers.
  • Experience owning enterprise data governance at scale including policy, stewardship, data quality and controls.
  • Track record transforming data assets into FAIR, trusted data products and partnering with analytics teams.

Responsibilities

  • Define and deliver a multiyear enterprise data strategy integrating governance and AI-ready data products.
  • Build alignment across divisions, regions and functions around a shared data strategy and roadmap.
  • Lead governance, quality, metadata, lineage and privacy practices across data domains.
  • Manage four directors and their teams, driving a high-performance culture.

Skills

Data governance
Data strategy
Executive leadership
AI readiness

Education

Bachelor's degree in computer science, data science, information systems, engineering, business or related field

Job description

Boston Scientific seeks a Vice President, Data Enablement and AI Data Readiness to define and deliver the enterprise data strategy across governance and AI-ready data products. You will drive modernization of data architecture, platforms, metadata and lineage while partnering with AI and analytics teams to enable scalable, trusted data products.

The role requires executive leadership to align divisions and regions, and to deliver measurable improvements in data trust, quality and value.

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