Director, Commercial Data Strategy & Governance
Becton Dickinson
This listing was originally posted on Becton Dickinson's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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Upgrade to Pro — $25/moBD 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.
Commercial Data & AI Platform Strategy
Own the commercial data and AI platform strategy, ensuring alignment to enterprise architecture standards and commercial analytics needs.
Define and evolve the reference architecture for commercial data, analytics, and AI (including lakehouse patterns, MDM, APIs, and integration standards).
Establish a scalable, cost‑effective platform foundation that supports analytics, experimentation, and AI at global enterprise scale.
Partner with IT/GBS to align on shared infrastructure, tooling strategy, and long‑term platform roadmaps.
Future of AI, Industry Foresight & Strategic Enablement
This role is responsible for ensuring the commercial data and AI foundation remains forward‑looking and adaptable as technology, economic conditions, and regulation evolve.
Maintain deep awareness of emerging AI capabilities, macroeconomic forces, regulatory trends, and technology shifts shaping the future of commercial execution in MedTech and Life Sciences.
Evaluate novel AI and GenAI use cases (e.g., agentic workflows, reasoning models, copilots, simulation, real‑time decisioning) from a platform, governance, and scalability perspective for applicability across commercial domains such as sales productivity, forecasting, pricing, customer engagement, and revenue risk management.
Translate external AI and market trends into forward‑looking platform, architecture, and governance implications, ensuring the commercial data ecosystem is future‑ready without sacrificing trust, security, or compliance.
Partner with Commercial Decision Science & AI and Commercial Data Product Strategy to enable rapid experimentation with emerging AI capabilities while establishing guardrails that allow solutions to scale safely into production.
Advise executive leadership on AI platform readiness, enterprise risk posture, and investment tradeoffs as the commercial AI landscape continues to evolve.
Platform Engineering & Enablement
Own platform engineering roadmap supporting cloud infrastructure, storage, compute, orchestration, DataOps, and Master Data Management (MDM) for commercial domains.
Ensure standardized ingestion, integration, and orchestration patterns across commercial source systems (e.g., CRM, CPQ, ERP, GTM, marketing, service).
Enable platform capabilities that support analytics engineering, decision science, and GenAI use cases (e.g., feature access, historical backfills, observability).
Design platform capabilities with a forward‑AI lens, ensuring flexibility to support emerging model types, agentic workflows, and evolving data access and compute patterns.
Drive platforms that prioritize reliability, scalability, performance, and ease of consumption.
Governance, Trust & Compliance
Own the commercial data governance framework, including operating model, standards, policies, and enforcement mechanisms.
Implement metadata management, lineage, cataloging, and data discovery capabilities to ensure transparency, auditability, and reuse.
Define and operationalize data quality frameworks, including automated validation, monitoring, and remediation.
Establish and enforce access control, privacy, and compliance controls, ensuring adherence to GDPR, SOX, and other applicable regulatory requirements.
Partner with IT, GBS, Legal, and Privacy teams to ensure commercial data and AI usage meets enterprise risk and compliance standards.
Data Architecture & Standards
Define data modeling frameworks, integration patterns, and API standards for commercial data domains.
Ensure architectural consistency across platforms, analytics layers, and AI workloads.
Govern enterprise standards for data retention, lifecycle management, and auditability.
Responsible AI & Enterprise Controls
Own and implement responsible AI guardrails for commercial use cases, including bias testing, drift monitoring, explainability, and human‑in‑the‑loop decisioning.
Partner with Commercial Decision Science & AI to operationalize model governance, LLM usage standards, and AI risk controls.
Ensure AI governance integrates seamlessly with broader data governance, security, and compliance councils.
Governance Operating Model & Cross‑Enterprise Leadership
Design and run a global governance operating model that balances enterprise standardization with regional execution.
Establish decision rights, escalation paths, and stewardship forums across Business Units and Regions.
Act as the primary point of accountability for data trust, security, quality, and scalability within the Commercial Intelligence ecosystem.
Provide executive visibility into platform health, data risk, governance maturity, and future readiness.
10+ years of progressive experience in data architecture, platform engineering, data governance, or enterprise data strategy within MedTech, Life Sciences, or similarly regulated industries (preferred).
5+ years of leadership experience managing global or enterprise‑scale data and platform teams.
Proven experience designing and operating enterprise data platforms that support analytics and AI at scale.
Deep understanding of data governance, privacy, security, regulatory compliance, and enterprise risk management.
Strong familiarity with modern cloud data architectures, master data management (MDM), metadata management, and data quality tooling.
Demonstrated ability to assess emerging AI technologies and macro trends and translate them into concrete platform, architecture, and governance decisions.
Proven ability to balance governance rigor with speed, usability, and business outcomes.
Education: Bachelor’s degree in Engineering, Computer Science, Information Systems, Data Science, or related field required. Advanced degree preferred.
Experience implementing governance‑by‑design approaches (automated controls vs. manual reviews).
Familiarity with commercial data domains and how governance impacts analytics, AI, and decisioning.
Experience partnering with analytics engineering and data science teams in production environments.
Global enterprise experience spanning multiple Business Units, Regions, and regulatory environments.
Strong executive presence and communication skills.
Future‑oriented thinker: anticipates how advances in AI, economic conditions, and industry dynamics will reshape commercial decision‑making and platform requirements.
Trust‑centric leader: uncompromising on security, quality, and compliance while enabling scale and speed.
Systems thinker: understands how platforms, governance, analytics, and AI operate as a single ecosystem.
Pragmatic enabler: embeds governance into workflows rather than creating friction.
Enterprise leader: drives standardization with empathy for regional and business realities.
Clear executive communicator: able to explain risk, architecture, and tradeoffs to senior leadership.
High integrity, resilience, learning agility, and bias for action.
Annual Bonus
Potential Discretionary LTI Bonus
Potential reimbursement of vehicle use/mileage
Potential reimbursement of phone use
Health and Well-being Benefits
Medical coverage
Health Savings Accounts
Flexible Spending Accounts
Dental coverage
Vision coverage
Hospital Care Insurance
Critical Illness Insurance
Accidental Injury Insurance
Life and AD&D insurance
Short-term disability coverage
Long-term disability insurance
Long-term care with life insurance
Other Well-being Resources
Anxiety management program
Wellness incentives
Sleep improvement program
Diabetes management program
Virtual physical therapy
Emotional/mental health support programs
Weight management programs
Gastrointestinal health program
Substance use management program
Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit
Retirement and Financial Well-being
BD 401(k) Plan
BD Deferred Compensation and Restoration Plan
529 College Savings Plan
Financial counseling
Baxter Credit Union (BCU)
Daily Pay
College financial aid and application guidance
Life Balance Programs
Paid time off (PTO), including all required State leaves
Educational assistance/tuition reimbursement
MetLife Legal Plan
Group auto and home insurance
Pet insurance
Commuter benefits
Discounts on products and services
Academic Achievement Scholarship
Service Recognition Awards
Employer matching donation
Workplace accommodations
Other Life Balance Programs
Adoption assistance
Backup day care and eldercare
Support for neurodivergent adults, children, and caregivers
Caregiving assistance for elderly and special needs individuals
Employee Assistance Program (EAP)
Paid Parental Leave
Support for fertility, birthing, postpartum, and age-related hormonal changes
Leave Programs
Bereavement leaves
Military leave
Personal leave
Family and Medical Leave (FML)
Jury and Witness Duty Leave
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visit https://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Required Skills
Optional Skills
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At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs. You can learn more on our career site under "Our Commitment to You."
Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed.
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
Salary Range Information
$192,000.00 - $307,200.00 USD AnnualExplore related positions you might be interested in
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