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About the role
Key responsibilities & impact- Own the commercial data product strategy aligned to enterprise commercial priorities (growth, mix, margin, retention, productivity)
- Define and manage a portfolio of business-aligned data products and data solutions across core commercial domains
- Establish and run a data product lifecycle (intake, discovery, prioritization, release planning, adoption, value measurement, retirement)
- Build and maintain multi-horizon roadmaps (near-term operational wins + mid/long-term strategic capabilities)
- Drive a single global prioritization mechanism that balances BU/Region needs with enterprise standardization
- Define clear value cases and success metrics for each data product and data solution
- Partner with commercial leaders to embed products into core workflows, ensuring tools are adopted and operationalized
- Create repeatable playbooks for product rollout, enablement, and change management across Regions and Business Units
- Define and own AI-enabled commercial data products and data solutions as part of the enterprise data product portfolio
- Partner with Commercial Decision Science & AI to ensure AI models are aligned to real commercial workflows and decision moments
- Lead and develop Commercial Data Product Management Leads for core domains, ensuring clear ownership, consistent taxonomy and metric definitions, and measurable value realization across Business Units and Regions
Requirements
What you’ll need- 10+ years of progressive experience in commercial analytics, product management, commercial operations, or related domains within MedTech / Life Sciences / regulated industries (preferred)
- 5+ years in leadership roles driving cross-functional programs with enterprise-wide adoption and measurable impact
- Proven ability to define and scale data products / data solutions from concept to global rollout, including roadmaps, lifecycle governance, and value realization
- Strong understanding of commercial domains and processes: pipeline/opportunity management, forecasting, territory/account planning, pricing/CPQ, customer segmentation, omnichannel engagement
- Demonstrated experience defining and governing business taxonomies, KPI frameworks, and semantic layers in partnership with engineering and analytics teams
- Strong stakeholder leadership: ability to influence Sales, Marketing, Finance, IT/GBS, BU and Regional leaders in a matrixed organization
- Executive-ready communicator with ability to synthesize complexity into clear decisions, tradeoffs, and recommendations
- Education: Bachelor’s degree required (Business, Economics, Engineering, Data/Analytics, or related). MBA /MS or advanced degree preferred.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
commercial analyticsproduct managementdata productsdata solutionsroadmapslifecycle governancevalue realizationKPI frameworksbusiness taxonomiesAI-enabled solutions
Soft Skills
stakeholder leadershipinfluenceexecutive communicationsynthesis of complexitydecision makingtradeoff analysischange managementcross-functional collaborationteam developmentstrategic thinking
Certifications
Bachelor’s degreeMBAMS