Senior Director, Commercial Decision Science & AI Strategy

About this role



 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 MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 

 Job Description Key Responsibilities  

Global Commercial Data & AI Strategy  

• Own the enterprise commercial data, analytics, AI, and decision intelligence strategy.  

• Define the long-term roadmap for how commercial data, advanced analytics, AI, and governance capabilities evolve to support business growth.  

• Establish enterprise priorities and investment strategies for commercial intelligence capabilities.  

• Ensure alignment between commercial business strategy, data strategy, AI strategy, and commercial technology roadmaps.  

• Partner with Commercial Data Products and Commercial Data Analytics Engineering to define decision science use cases, business requirements, and operationalize analytics models.  

AI & Advanced Analytics Leadership  

• Lead the development and deployment of advanced analytical solutions across sales, forecasting, market development, customer success, and commercial operations.  

• Build and scale machine learning, predictive analytics, optimization, simulation, experimentation, and recommendation engines.  

• Drive adoption of modern AI capabilities including generative AI, agentic AI, copilots, reasoning systems, knowledge discovery, and intelligent workflow automation.  

• Maintain   deep   understanding of advancements in AI, economic conditions, market trends, and competitive forces shaping the future of commercial execution.  

• Assess emerging technologies including agentic AI, reasoning systems, simulation platforms, digital commercial assistants, and real-time decision intelligence capabilities.  

Data Governance & Trust  

• Establish governance-by-design principles that embed trust, quality, compliance, and stewardship into workflows rather than relying on manual processes.  

• Define enterprise standards for metadata management, lineage, cataloging, master data, data quality, retention, access management, and business semantics.  

• Establish and govern enterprise KPI definitions, metric hierarchies, commercial data standards, and semantic consistency across Business Units and Regions.  

• Lead governance councils and stewardship forums supporting commercial data and AI.  

• Serve as the ultimate point of accountability for commercial data trust, adoption, transparency, quality, and usability.  

Commercial Insights & Strategic Growth  

• Establish enterprise frameworks for predictive, prescriptive, and scenario-based decision making.  

• Develop analytical assets that   identify   growth opportunities, revenue risks, whitespace opportunities, customer trends, territory optimization opportunities, and sales execution gaps.  

• Drive executive-level business reviews using forward-looking insights and recommendations.  

• Ensure analytical outputs are translated into actionable business decisions.  

• Serve as a strategic advisor to executive leadership   regarding   commercial performance, market dynamics, growth opportunities, and resource allocation.  

• Establish value realization frameworks that measure adoption, business impact, and return on investment from commercial analytics, AI, and decision intelligence initiatives.  

• Lead the evolution from descriptive reporting to predictive and prescriptive decision intelligence capabilities that improve forecasting, resource allocation, customer engagement, and commercial productivity.  

Responsible AI   &   Compliance Controls  

• Own the commercial AI governance framework, including model risk management, AI policies, controls, and standards.  

• Establish responsible AI principles covering explainability, bias mitigation, transparency, human oversight, and model monitoring.  

• Partner with Legal, Privacy, Compliance, Cybersecurity, and IT to ensure AI and data usage meets evolving regulatory requirements.  

• Define governance approaches for GenAI, LLMs, agentic systems, autonomous workflows, and future AI technologies.  

• Advise   executive leadership on AI readiness, risk exposure, maturity, and investment decisions.  

Talent & Organizational Leadership  

• Build and lead a world-class team of data scientists, AI specialists, governance leaders, and advanced analytics professionals.  

• Foster a culture of agility, learning, innovation, accountability, and business impact.  

• Build and scale a multi-disciplinary organization spanning decision science, AI strategy, governance, business intelligence, and commercial analytics excellence.  

• Develop organizational capabilities that keep pace with rapid advances in AI, analytics, governance, and commercial strategy.  

• Serve as a mentor, strategist, and thought leader across the global commercial organization.  

Qualifications  

• 12+ years of progressive experience in decision science, data science, artificial intelligence, advanced analytics, commercial data strategy, data governance, or related fields.  

• 7+ years of leadership experience leading data science, AI, analytics, governance, data strategy, or decision intelligence teams.  

• Proven success applying predictive modeling, machine learning, optimization, experimentation, forecasting, causal analytics, and advanced analytics in commercial environments.  

• Deep understanding of commercial data governance, metadata management, lineage, data quality, access controls, privacy, compliance, and enterprise risk management.  

• Strong understanding of modern AI technologies including GenAI, LLMs, agentic systems, retrieval-augmented generation, and intelligent automation.  

• Expe

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