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.