VP, Analytics CoE & LoB Enablement

First Tech Federal Credit Union; Oregon (WI); On-site; USD 280,000 - 360,000; Full time

Job summary

First Tech Federal Credit Union is seeking a Vice President of Analytics and LoB Enablement to lead enterprise analytics strategy and deliver trusted insights across the organization.

The role demands 15+ years in analytics with 8+ years in leadership, plus a track record delivering enterprise BI products that drive measurable outcomes. Cloud-native platforms and governance are central, with cross-functional partnerships across business, risk, and technology.

Qualifications

• Bachelor's degree in field relevant to role or 4+ years of related experience.
• Advanced degree preferred for senior leadership.
• Experience leading enterprise analytics, BI, and data-as-a-service initiatives.
• Proven ability to translate data into actionable business outcomes in regulated environments.
• Strong collaboration with business lines, product, marketing, and risk.
• Experience with cloud-native analytics platforms and governance frameworks.

Responsibilities

• Lead enterprise analytics strategy and delivery across the organization.
• Own BI ecosystem, dashboards, reports, self-service, and AI-enabled insights.
• Define enterprise KPIs and align definitions across Lines of Business.
• Partner with Data Engineering, AI, and Enterprise Data teams to ensure trusted data foundations.
• Embed analytics into daily workflows and decision processes.
• Foster high-performing teams and strong executive communication at scale.

Skills

Enterprise analytics

Leadership

Data governance

BI ecosystems

Cloud platforms

Education

Bachelor's degree in relevant field

Advanced degree preferred

Tools

Tableau

Power BI

Looker

AWS

Azure

Job description

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.
• 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.
• Required Education: Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree), advanced degree preferred.