R&D Data Strategy Leader

Education:

Bachelor’s degree in Data Science, Information Management, or a related field.

Experience:

10+ years in data-centric roles, including experience in data governance, AI/ML governance, or data product management, with at least 2 years in a consultative or advisory capacity influencing senior leadership.

Strategic Communication & Consultative Problem Solving:

Proven ability to translate complex data strategies into executive-ready narratives and uncover root business needs through structured analysis.

As the Data Strategy Leader, you will mature and scale the strategic foundation for the R&D data lifecycle, ensuring scientific data remains a high-value asset that accelerates discovery and innovation. In this role, you will define and deliver a strategic data roadmap, establish a usable metadata strategy, and lead the transition toward a “Data-as-a-Product” mindset across the global R&D organization.

·       Deliver and execute a strategic data roadmap and governance framework for the R&D data lifecycle, aligned to business outcomes, AI/ML initiatives, regulatory expectations, and scientific innovation.

·       Design and implement an metadata strategy that ensures R&D data is discoverable, trusted, and structured to support high-quality analytics and AI/ML use cases.

·       Establish and manage a value-driven data quality roadmap, including KPIs that measure business impact, process recommendations, AI/ML enablement, bias mitigation, and program maturity.

·       Advance R&D data literacy by developing training and enablement resources that foster a culture of responsible, effective data utilization.

·       Lead change management and stakeholder engagement efforts to embed a “Data-as-a-Product” mindset across cross-functional R&D teams.