VP, Analytics CoE & LoB Enablement

United States, Massachusetts, Marlborough

The Vice President of Analytics and Line of Business (LoB) Enablement will lead the enterprise-wide strategy and delivery of analytics capabilities that turn data into actionable insights for decision-making and customer value. This role is accountable for enabling Lines of Business through better-together partnership, trusted analytics services, overseeing technical, data, and business intelligence (BI) analysts, and owning the BI ecosystem, including dashboarding, reporting, self-service, and AI-enabled insights.

The VP will own the delivery of the business semantic layer in partnership with LoB Data Stewards to ensure consistent interpretation of enterprise data assets and build enterprise-wide trust in analytics. By establishing a modern analytics operating model, this leader will simplify access to actionable insights, accelerate adoption, embed analytics into daily workflows, and advance the organization toward a truly data-driven enterprise.

• Serve as the single-threaded owner for enterprise analytics unification best practices and standards, ensuring consistent, trusted, governed, and scalable data-driven analytics across the organization.
• Share accountability for delivering enterprise unification priorities in close alignment with other enterprise data and technology leaders.
• Create strategy and own the execution of LoB analytics enablement services using federated approach, including training and education on enterprise data assets, common tools, and standards.
• Own the business intelligence (BI) ecosystem, including platforms and all things actionable insights encompassing governed dashboards, reporting, self-service, AI enabled BI etc.
• Serve as the single-threaded owner for the design and delivery of the business semantic layer in partnership with LoB Data Stewards to ensure consistent interpretation of enterprise data assets, build enterprise-wide trust in analytics, and enable LoB for the ongoing stewardship of the business semantic layer.
• Define and implement a framework for enterprise-wide key performance indicators (KPIs) and metrics, partnering with Lines of Business to establish consistent business definitions.
• Partner closely with Data Engineering, Enterprise Data, and AI teams to ensure analytics are built on trusted, governed data foundations.
• Embed analytics into business workflows and decision processes, shifting from passive reporting to proactive, actionable insight-driven decisioning.
• Define and operate a modern analytics operating model with a strong Lines of Business enablement and adoption mindset.
• Establish enterprise-wide analytics governance and quality standards while enabling speed, flexibility, and self-service.
• Drive analytics adoption and data literacy across Lines of Business, with clear linkage to measurable business outcomes.
• Maintain accountability for legacy analytics platform stability and reliability, while executing a deliberate modernization and rationalization strategy.
• Lead the evolution of a scalable, cloud-native analytics platform, applying "right-tool-for-the-job" and design-pattern-driven principles.
• Establish shared KPIs with other data and analytics leaders to measure adoption, quality, and business impact, ensuring clear accountability.
• Drive intentional reduction of legacy technical debt through platform consolidation, modernization, and architectural discipline.
• Build strong, better-together partnerships with business, technology, risk, and operations leaders to embed analytics into day-to-day decision-making.
• Foster a hands-on, delivery-oriented culture focused on reusable capabilities, scalability, and measurable outcomes.
• Define the enterprise analytics operating model, including roles, skills, and talent strategy required to scale capabilities.
• Share accountability with other enterprise data and analytics leaders for day one operational readiness post-merger, minimizing disruption while enabling continuity, scale, and extensibility.
• Evaluate and manage strategic analytics vendors and partners to accelerate delivery while maintaining cost, quality, and risk controls.
• Build, lead, and develop…