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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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.
- 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 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.
- Advise executive leadership on AI platform readiness, enterprise risk posture, and investment tradeoffs as the commercial AI landscape continues to evolve.
- 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.
- Enable platform capabilities that support analytics engineering, decision science, and GenAI use cases.
- Design platform capabilities with a forward‑AI lens, ensuring flexibility to support emerging model types and evolving data access and compute patterns.
- 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.
Requirements
What you’ll need- 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.
- 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.
Benefits
Comp & perks- Annual Bonus Potential
- Discretionary LTI Bonus Potential
- reimbursement of vehicle use/mileage
- Potential reimbursement of phone use
- 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
- 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
- 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
- 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
- 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
- Bereavement leaves
- Military leave
- Personal leave
- Family and Medical Leave (FML)
- Jury and Witness Duty Leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architectureplatform engineeringdata governanceenterprise data strategyanalytics engineeringAIMaster Data Management (MDM)metadata managementdata qualitycloud data architectures
Soft Skills
leadershipcommunicationexecutive presencedecision makingcollaborationstrategic thinkingadaptabilityproblem solvingrisk managementusability balance
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data ScienceAdvanced degree (preferred)