Jobs and Careers

VP, Analytics CoE & LoB Enablement

United Statesfull_timeVerifiedPosted 1 Jun 2026

💰 $300,000/yr($250,000/yr – $300,000/yr)

About the role

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.

Here's what you can expect from the job and what you need to be successful:

Job Duties

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 high-performing teams.
- Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.