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Director, Commercial Data & AI Product Management

Job in Franklin Lakes, Bergen County, New Jersey, 07417, USA
Listing for: BD
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Product Designer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Overview

We Are The People Who Give Possibilities Purpose 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.

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.

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us.

We are seeking a strategic, data-savvy, and AI-forward leader to serve as Commercial Director, Data & AI Product Management — responsible for shaping 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. This role will define and own the product vision, roadmap, and lifecycle for commercial data products, insights platforms, and AI/GenAI-powered solutions.

Critically, this role partners with a shared Data, Insights & AI product delivery organization to build, deploy, and manage these products — meaning this role is the strategic product management authority (the “what” and “why”) while partnering with the delivery organization on the “how” and “when.”

This Person Is a Peer To The Three Senior Leaders And Collaborates Closely With All Three To Ensure Data, Insights, And AI Capabilities Are Embedded Across Every Layer Of The Commercial Technology Ecosystem

  • Director, Global CRM, Sales Operations & Revenue Technology— embedding data, insights, and AI into CRM, CPQ, CLM, Sales Planning, and ICM platforms
  • Associate Director, Enterprise Architecture — ensuring data products and AI capabilities align with the target-state commercial architecture, integration patterns, and data governance standards
  • Senior Director, Marketing, Service & Repairs Technology — embedding insights and AI into Mar Tech, FSM, repairs, and installed-base platforms

This leader will bring deep product management expertise in data, analytics, and AI — combined with strong commercial acumen and the ability to translate complex data and AI capabilities into measurable business outcomes that drive revenue growth, operational efficiency, and customer experience improvement across a global Med Tech organization.

Responsibilities

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,…
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