Director, Commercial Data & AI Product Management

Job Description

We are the makers of possible! 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.

• Commercial Data Strategy & Product Vision: 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.
• Insights Products & Commercial Analytics: 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.
• AI & GenAI Product Management: 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—including responsible AI principles, bias monitoring, explainability standards, human‑in‑the‑loop requirements, and compliance with healthcare/Med Tech regulations.
  
  Horizon‑scan emerging AI technologies (LLMs, multi‑agent systems, autonomous agents) and evaluate commercial applicability. Define and track AI product value realization metrics—measuring ROI, adoption, productivity gains, and commercial impact.
• Partnership with Shared Delivery Organization: Serve as the primary product management partner to the shared Data, Insights & AI product delivery organization—providing clear product vision, prioritized backlogs, acceptance criteria, and business context. 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) with the delivery organization to ensure alignment, velocity, and value delivery.
  
  Co‑own product lifecycle governance—including intake, prioritization, release planning, and retirement of data, insights, and AI products.
• Cross‑Ecosystem
  
  Collaboration:
  
  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 Senior 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 ensure data products, insights, and AI capabilities align with the target‑state commercial architecture, integration patterns, and data governance standards.
  
  Serve as the commercial voice to enterprise‑wide Data & AI governance forums.
• Stakeholder Leadership & Change Management: Serve as the executive‑facing owner of the…