VP, Analytics CoE & LoB Enablement

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.

Responsibilities

• 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 a 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, and AI-enabled BI.
• 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.

Qualifications

• 15+ years of experience in enterprise analytics, business intelligence, business semantic layer, and LoB analytics enablement. Financial services background preferred.
• 8+ years of experience as a people leader, leading a diverse team including hiring, coaching, and performance management.
• Proven track record delivering enterprise analytics products (e.g., dashboards, self-service, AI-enabled BI insights) that drive measurable business outcomes.
• Demonstrated success translating enterprise data into consumable, trusted, actionable insights for Lines of Business.
• Deep expertise in business intelligence ecosystems, including dashboards, reporting, semantic layers, and governed self-service.
• Experience defining and governing enterprise KPIs, metrics, and business definitions in close partnership with Lines of Business.
• Proven delivery of Customer 360, customer value reporting, and segmentation solutions.
• Strong background partnering with Lines of Business, marketing, product, and digital teams to embed analytics into their daily workflows and decisions.
• Experience operating in regulated or highly governed environments, balancing speed with trust and control.
• Experience in cloud-native (AWS, Azure, or GCP) analytics platforms and consumption patterns in hybrid legacy environments.
• Experience integrating analytics with marketing and digital SaaS platforms (e.g., Adobe Analytics, Google Analytics, Sitecore).
• Product-oriented mindset focused on adoption, usability, and outcomes, not just technical delivery.
• Experience evaluating and managing analytics tools and vendors, aligned with enterprise standards.
• Strong cross-functional leadership and executive communication skills.
• Builder mindset with strong prioritization, accountability, and enablement focus.
• Proven ability to build and lead high-performing analytics, BI, and enablement teams in complex enterprises.

Education

Bachelor's degree in a field relevant to the role (or 4 additional years of relevant experience in lieu of a degree); advanced degree preferred.