Director, Commercial Data & AI Product Management

Commercial Director, Data & AI Product Management

BD is one of the largest global medical technology companies. Advancing the world of health™ is our Purpose, and it requires imagination and passion from everyone – from design and engineering to manufacturing and marketing of our Med Tech products.

We are seeking a strategic, data‑savvy, and AI‑forward leader to serve as Commercial Director, Data & AI Product Management. This role will shape the commercial data, insights, and AI product strategy across the full commercial ecosystem, from marketing and demand generation through pricing, sales operations, and CRM to service, repairs, and installed‑base management.

As a peer to three Senior leaders, you will collaborate closely with all three to embed data, insights, and AI across every layer of the commercial technology ecosystem.

• Define the multi‑year commercial data product strategy and roadmap spanning marketing, sales, service, and repairs data domains.
• Own the product vision for commercial data assets — including curated data products, master data services, customer 360 views, product/installed‑base data, and commercial performance datasets.
• Define data product standards (SLAs, quality metrics, discoverability, self‑service) in partnership with Enterprise Architecture.
• Champion a product‑based data operating model — treating data as a managed product with clear ownership, consumers, quality SLAs, and lifecycle management.

• Define and own the product roadmap for commercial insights platforms — AI‑enabled dashboards, self‑service analytics, embedded analytics, and decision‑support tools across sales, marketing, and service.
• Translate business needs into insights product requirements — including sales performance analytics, pipeline/forecast insights, marketing attribution, service KPIs, pricing analytics, and installed‑base intelligence.
• Define KPIs and success metrics for insights products — measuring adoption, business impact, and decision‑making improvement.
• Partner with Commercial, Finance, and Business Unit leadership to prioritize insights investments aligned to strategic priorities.

• Define and own the AI/GenAI product strategy for the commercial ecosystem — including intelligent pricing, guided selling, predictive lead scoring, AI‑assisted service triage, generative AI for content/proposals, agentic AI for workflow automation, and conversational AI.
• Own the full AI product lifecycle — from opportunity identification and business case development through MVP, pilot, scale, and ongoing optimization.
• Establish AI product governance frameworks — responsible AI principles, bias monitoring, explainability standards, human‑in‑the‑loop requirements, and compliance with healthcare/Med Tech regulations.
• Horizon‑scan emerging AI technologies and evaluate commercial applicability.
• Define and track AI product value realization metrics — measuring ROI, adoption, productivity gains, and commercial impact.

• Serve as the primary product management partner to the shared Data, Insights & AI product delivery organization.
• Operate as the strategic “demand side” — articulating the “what” and “why” while the delivery organization owns the “how” and “when.”
• Establish joint operating rhythms (sprint reviews, roadmap planning, quarterly business reviews) to ensure alignment, velocity, and value delivery.
• Co‑own product lifecycle governance — including intake, prioritization, release planning, and retirement.

• Partner with Director, Global CRM, Sales Operations & Revenue Technology to embed data, insights, and AI into CRM, CPQ, CLM, ICM, and Sales Planning platforms.
• Partner with Sr. Director, Marketing, Service & Repairs Technology to embed insights and AI into Mar Tech, FSM, repairs, and installed‑base platforms.
• Partner with Associate Director, Enterprise Architecture to align data products, insights, and AI capabilities with the target‑state commercial architecture.
• Serve as the commercial voice in enterprise‑wide Data & AI…