Director, Commercial Data Strategy & Governance
Listed on 2026-07-01
-
IT/Tech
Data Security, AI Business & Operations, Data Engineering
Commercial Data & AI Platform Strategy
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of Med Tech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.
This role is responsible for owning the commercial data and AI platform strategy, ensuring alignment to enterprise architecture standards and commercial analytics needs. It involves defining and evolving the reference architecture for commercial data, analytics, and AI, establishing a scalable, cost-effective platform foundation that supports analytics, experimentation, and AI at global enterprise scale, and partnering with IT/GBS to align on shared infrastructure, tooling strategy, and long-term platform roadmaps.
The role also involves ensuring the commercial data and AI foundation remains forward-looking and adaptable as technology, economic conditions, and regulation evolve. This includes maintaining deep awareness of emerging AI capabilities, macroeconomic forces, regulatory trends, and technology shifts shaping the future of commercial execution in Med Tech and Life Sciences, evaluating novel AI and GenAI use cases from a platform, governance, and scalability perspective for applicability across commercial domains, and translating external AI and market trends into forward-looking platform, architecture, and governance implications.
Additionally, the role involves owning platform engineering roadmap supporting cloud infrastructure, storage, compute, orchestration, Data Ops, and Master Data Management (MDM) for commercial domains, ensuring standardized ingestion, integration, and orchestration patterns across commercial source systems, enabling platform capabilities that support analytics engineering, decision science, and GenAI use cases, designing platform capabilities with a forward-AI lens, ensuring flexibility to support emerging model types, agentic workflows, and evolving data access and compute patterns, and driving platforms that prioritize reliability, scalability, performance, and ease of consumption.
The role also involves owning the commercial data governance framework, including operating model, standards, policies, and enforcement mechanisms, implementing metadata management, lineage, cataloging, and data discovery capabilities to ensure transparency, auditability, and reuse, defining and operationalizing data quality frameworks, including automated validation, monitoring, and remediation, establishing and enforcing access control, privacy, and compliance controls, ensuring adherence to GDPR, SOX, and other applicable regulatory requirements, and partnering with IT, GBS, Legal, and Privacy teams to ensure commercial data and AI usage meets enterprise risk and compliance standards.
Furthermore, the role involves defining data modeling frameworks, integration patterns, and API standards for commercial data domains, ensuring architectural consistency across platforms, analytics layers, and AI workloads, governing enterprise standards for data retention, lifecycle management, and auditability, owning and implementing responsible AI guardrails for commercial use cases, including bias testing, drift monitoring, explainability, and human-in-the-loop decisioning, partnering with Commercial Decision Science & AI to operationalize model governance, LLM usage standards, and AI risk controls, ensuring AI governance integrates seamlessly with broader data governance, security, and compliance councils, designing and running a global governance operating model that balances enterprise standardization with regional execution, establishing decision rights, escalation paths, and stewardship forums across Business Units and Regions, acting as the primary point of accountability for data trust, security, quality, and scalability within the Commercial Intelligence ecosystem, and providing executive visibility into platform health, data risk, governance maturity,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).