Associate Director, Commercial Data Product Management

&amp;#xa;&amp;#xa;<h2><b>We are the people who give possibilities purpose</b></h2><p></p><p>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 MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. </p>&amp;#xa;&amp;#xa;<h1>Job Description</h1><p><b>Key Responsibilities</b></p><p><b>Product Portfolio Strategy &amp; Prioritization</b></p><ul><li><p>Own the commercial data product portfolio and shape the strategic roadmap for assigned domains; make prioritization recommendations to ensure investments align with enterprise commercial priorities and strategic objectives.</p></li><li><p>Lead prioritization decisions across competing business needs, balancing Business Unit and Regional requirements with enterprise standardization goals.</p></li><li><p>Develop business cases, investment recommendations, value hypotheses, and success metrics for new products, enhancements, and strategic initiatives (including AI-enabled decision-making).</p></li><li><p>Recommend roadmap sequencing, deployment strategies, and resource allocation decisions to maximize business impact and organizational capacity.</p></li><li><p>Drive leadership alignment and secure cross-functional endorsement for product strategies, priorities, and investment decisions.</p></li><li><p>Represent assigned product portfolios within governance processes and executive review forums, effectively communicating recommendations, tradeoffs, risks, and opportunities.</p></li><li><p>Establish accountability frameworks that measure success through business outcomes, adoption, and value realization.</p></li></ul><p></p><p><b>Product Model Cells &amp; Value Validation</b></p><ul><li><p>Design, lead, and evaluate Model Cell initiatives (e.g., MVPs, pilots, and proof-of-concept testing) that validate new commercial data and AI-enabled capabilities.</p></li><li><p>Define objectives, business hypotheses, success criteria, testing methodologies, and adoption metrics for pilot programs and scaled deployments.</p></li><li><p>Partner with business stakeholders, analytics teams, decision scientists, and technical teams to rigorously test solutions and measure business outcomes.</p></li><li><p>Track pilot performance, adoption trends, user engagement, and realized value to determine scalability and future investment priorities.</p></li><li><p>Continuously refine business cases and roadmap priorities based on measurable results, stakeholder feedback, and evolving commercial needs.</p></li><li><p>Lead successful capabilities through transition from pilot to enterprise-scale deployment, ensuring readiness for global adoption.</p></li></ul><p></p><p><b>Product Management &amp; Delivery Leadership</b></p><ul><li><p>Lead the end-to-end lifecycle of assigned commercial data products from opportunity identification and discovery through deployment, adoption, optimization, and retirement.</p></li><li><p>Translate commercial strategies, business priorities, and workflow requirements into actionable product roadmaps and clearly defined product requirements.</p></li><li><p>Own product roadmap commitments and partner with Engineering, Analytics, and Technology teams to ensure successful delivery against strategic objectives.</p></li><li><p>Establish clear product success criteria and performance indicators to ensure products deliver measurable business value.</p></li><li><p>Ensure commercial data products are designed for scalability, sustainability, and adoption across global Business Units and Regions.</p></li><li><p>Maintain active feedback loops with stakeholders and end users to continuously improve product effectiveness and business impact.</p></li><li><p>Hold stakeholders and delivery partners accountable for executing agreed-upon plans, timelines, and outcomes.</p></li></ul><p></p><p><b>Global Standards, Metrics &amp; Semantic Consistency</b></p><ul><li><p>Own metric definitions and business logic for assigned domains, ensuring consistent meaning across dashboards, reports, and models — so that “one metric” means the same thing in every region and business unit.</p></li><li><p>Partner with Analytics Engineering to ensure semantic definitions are accurately reflected in governed data layers and standardized consumption patterns.</p></li><li><p>Support the establishment and ongoing maintenance of the commercial business taxonomy (domains, entities, hierarchies) to drive alignment across functions and geographies.</p></li><li><p>Flag and resolve definition conflicts across BUs and Regions, escalating where enterprise-level decisions are required.</p></li><li><p>Contribute to governance processes that allow global standards to coexist with local flexibility — core metric standards plus permitte