Director, Talent Analytics & Insights

Boston Scientific

Maple Grove (MN)

Hybrid

USD 144,000 - 274,000

Full time

14 days+

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Job summary

Boston Scientific invites applicants for the Associate Director, Talent Analytics & Insights to lead a global team delivering data-driven talent insights that inform HR and business decisions.

The role defines the analytics strategy and builds scalable capabilities across the organization, including responsible use of AI and multiyear roadmaps. Hybrid work model with collaboration across HR, Finance and Technology is expected.

Qualifications

  • Bachelor’s degree in a data- or analytics-related field.
  • 8+ years of experience in analytics roles, with exposure to talent or HR analytics.
  • Ability to translate complex data into actionable insights and business narratives.
  • Experience influencing HR and business leaders with data-driven recommendations.
  • Experience building analytics teams and cross-functional partnerships.

Responsibilities

  • Define and execute the long-term Talent Analytics & Insights strategy with prioritized roadmaps.
  • Lead and develop the Talent Analytics & Insights team and manage performance.
  • Develop scalable analytical products and decision-support capabilities for leaders.
  • Provide data-driven counsel translating talent data into actionable recommendations.
  • Lead complex talent analytics initiatives using internal data, benchmarks and labor-market intel.

Skills

Analytics leadership
Data storytelling
Cross-functional partnerships
Business acumen
Stakeholder influence
Talent analytics
AI awareness

Education

Bachelor’s degree
Advanced degree preferred

Tools

SuccessFactors
HR technology platforms

Job description

Boston Scientific invites applicants for the Associate Director, Talent Analytics & Insights to lead a global team delivering data-driven talent insights that inform HR and business decisions.

The role defines the analytics strategy and builds scalable capabilities across the organization, including responsible use of AI and multiyear roadmaps. Hybrid work model with collaboration across HR, Finance and Technology is expected.

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