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Wright-Patt Credit Union · 2 months ago

VP, Data & Analytics Department: Business

Beavercreek, OH

Full-time

Onsite

Director/Executive

15+ years exp

Wright-Patt Credit Union is seeking a VP of Data & Analytics to lead their organization through a data-driven transformation. This role involves building a high-performing data and analytics function, developing a modernized roadmap, and providing actionable insights to drive growth and innovation.

FinanceFinancial ServicesNon Profit

Responsibilities

Define and oversee the enterprise-wide data and analytics initiative in alignment with enterprise objectives and priorities

Partner with CSO on strategic planning measurements, metrics to inform board materials, and enterprise scorecards

Oversee the design and implementation of data platforms, pipelines, and governance frameworks in alignment with defined roadmap

Partner with CIO and technology team to ensure data is accurate, secure, and scalable and to evaluate and implement the right analytical tools

Lead the development of executive dashboards, advanced and predictive analytics, and support senior leadership reporting

Ensure analysis is actionable and directly supports decision-making, enterprise priorities, and project tracking

Recruit, mentor, and develop high-performing data and analytics team

Build processes that enable scalable delivery of analytical capabilities

Collaborate with senior leadership and business leaders across functions to embed data into decisions, provide forward-looking evidence, and advise on opportunities to leverage data for growth and efficiency

Stay ahead of industry trends in AI, machine learning, and advanced analytics

Introduce new tools and methodologies that transform how the organization uses data to drive differentiation

Ensure assigned business units are operating efficiently and reliably, are in compliance with applicable laws, regulations, and rules, have appropriate operating controls to mitigate risk, and are performing at a high level

Manage vendor relationships, including sourcing, evaluating, and selecting vendors

Participate in the negotiating of contracts with potential vendors to ensure optimal pricing and mitigation of third-party risks

Ongoing monitoring of vendors (of both performance and reputation) to ensure they provide quality products and services in alignment with organizational goals

Qualification

Data analytics leadershipData platforms expertiseBIVisualization toolsStatistical programmingData governance knowledgeAI/ML technologies awarenessQuantitative problem-solvingTeam buildingVisionRoadmap definitionTalent developmentRegulatory complianceCross-functional collaboration

Required

15+ years of progressive experience in data analytics or data science roles, with 5+ years in a senior leadership role

Demonstrated success in building and scaling data and analytics teams and leading organizational transformation

Deep understanding of data platforms, architecture, and governance (e.g., Snowflake, BigQuery, Databricks, or related)

Expertise with BI and visualization tools (e.g., Power BI, Tableau, or related)

Prior experience with programming and statistical languages (e.g., Python, R, SQL) to guide advanced statistics and machine learning projects

Understanding statistical modeling, predictive analytics, and machine learning frameworks with prior experience in programming and statistical language (e.g., SQL, Python, R)

Knowledge of data governance, regulatory compliance, and risk frameworks

Awareness of AI/ML technologies and ability to translate them into business applications

Ability to define vision, build roadmaps, and align book of work with enterprise priorities

Proven ability to attract, develop, and retain top talent

Ability to partner cross-functionally with Strategy, IT, Finance, Marketing, and other business areas

Strong quantitative problem-solving skills; ability to apply advanced analytics to solve business problems

Bachelor's degree in economics, Statistics, Mathematics, Computer Science, Data Science or a related field