Role Summary 

The Associate Director, Global Sales Analytics Engineering Lead is the senior people leader responsible for the strategy, delivery, and continuous evolution of the commercial analytics semantic layer and business intelligence engineering function. This role owns the enterprise vision for how commercial sales data is modeled, governed, and consumed by business users globally — and builds the team, operating model, and platform capabilities required to deliver governed, scalable, and trusted analytics at scale. 

A defining priority for this role is leading the transformation of the commercial analytics function from reactive, dashboard-centric reporting to a proactive, AI-ready analytics model — where governed data products, predictive signals, and intelligent alerting replace static reports as the primary vehicle for commercial insight delivery. This leader will champion the architectural and cultural shift required to move the organization from answering yesterday's questions to anticipating tomorrow's decisions. 

As a member of the commercial analytics leadership team, this role partners directly with peers across Commercial Data Product Strategy, Decision Science & AI, Data Engineering, and IT to shape the enterprise data and analytics platform roadmap. The Associate Director leads a team of JG3–JG5 analysts and senior individual contributors, setting performance expectations, developing talent, and creating a culture of technical craftsmanship, stakeholder focus, and continuous improvement. 

Key Responsibilities 

Team Leadership & Organizational Development 

• Lead, manage, and develop a high-performing team of Analytics Analysts (JG3–JG5) and senior individual contributors across semantic layer engineering and BI development disciplines. 

• Set clear performance expectations, provide ongoing coaching and feedback, and conduct formal performance and development reviews for all direct reports. 

• Own team hiring, onboarding, and workforce planning in partnership with HR and analytics leadership, ensuring the team has the skills and capacity to deliver on the roadmap. 

• Build a team culture of technical excellence, accountability, stakeholder orientation, and continuous improvement. 

• Represent the analytics engineering function on the commercial analytics leadership team, contributing to cross-functional strategy, prioritization, and organizational decisions. 

Enterprise Semantic Layer Strategy & Governance 

• Define and own the enterprise semantic layer strategy for commercial sales analytics — establishing the long-term vision for how business metrics, dimensions, and hierarchies are governed and consumed globally. 

• Set the direction for semantic layer architecture across tooling platforms, ensuring scalability, consistency, and alignment to enterprise data governance and access control standards. 

• Serve as the ultimate authority on semantic layer design trade-offs, resolving escalated conflicts between business metric definitions and physical data model constr