Director of Data Analytics

Commonwealth Credit Union•Frankfort, KY

About The Position

The Director of Data Analytics will be the driving force behind the credit union's evolution into a data-driven organization. This role combines strategic vision, technical expertise, and strong leadership to harness data in support of growth, expansion, and deepening member relationships. The director will oversee analytics, data governance, and systems integration and architecture, ensuring that data becomes a trusted organizational asset used to make informed, timely decisions. This position will lead a team of business intelligence analysts to build a unified data environment, modernize tools and processes, and deliver actionable insights that help shape the credit union's direction and operational performance.

Requirements

Strong analytical skills with ability to deconstruct complex information into easily understandable components.
Ability to think beyond traditional data models to identify innovative solutions, processes, and experiment with new methods to foster creativity and innovation.
Experience developing advanced analytics, dashboards, and forecasting models.
Ability to communicate findings clearly to non-technical audiences and executive leadership.
Experience overseeing third-party data systems, tools, and vendors.
Experience ensuring seamless integration of data across core systems.
Experience partnering with IT and vendors to improve data accessibility and maintaining security compliance.
Experience assessing and recommending technology investments.
Experience establishing and enforcing data governance frameworks.
Experience standardizing data definitions, processes, and ownership across systems.
Experience fostering a culture of accountability for data stewardship and ethical data use.
Experience developing and optimizing ETL/ELT pipelines using Python, SQL or cloud-native tools.

Nice To Haves

Experience with AI, machine learning, and automation to improve operational efficiency and predictive capabilities.
Experience translating organizational strategy into data-driven initiatives and KPIs.
Experience promoting data literacy and empowering departments to use analytics effectively in daily decision-making.
Experience attending conferences, acquiring certifications, completing learning courses in-house and other relevant platforms, or engaging in both internal and external leadership programs.

Responsibilities

Developing and executing a comprehensive data strategy aligned with credit union goals for growth and member engagement.
Leveraging AI, machine learning, and automation to improve operational efficiency and predictive capabilities.
Partnering with executives and other department leaders to identify and prioritize opportunities where data can drive measurable business outcomes.
Translating organizational strategy into data-driven initiatives and KPIs.
Possessing strong analytical skills with ability to deconstruct complex information into easily understandable components.
Thinking beyond traditional data models to identify innovative solutions, processes, and experiment with new methods to foster creativity and innovation.
Leading the development of advanced analytics, dashboards, and forecasting models to inform strategic and tactical decisions.
Providing insights that support product development, marketing optimization, lending performance, and member experience.
Communicating findings clearly to non-technical audiences and executive leadership.
Promoting data literacy and empowering departments to use analytics effectively in daily decision-making.
Overseeing all third-party data systems, tools, and vendors used by the analytics department.
Ensuring seamless integration of data across core systems (banking, CRM, lending, digital channels, etc.).
Partnering with IT and vendors to improve data accessibility and maintaining security compliance.
Assessing and recommending technology investments that enhance scalability and analytical capabilities.
Establishing and enforcing data governance frameworks to ensure data integrity, accuracy, and compliance with regulations.
Standardizing data definitions, processes, and ownership across systems.
Fostering a culture of accountability for data stewardship and ethical data use.
Developing and optimizing ETL/ELT pipelines using Python, SQL or cloud-native tools.
Enhancing expertise by actively pursuing development opportunities, including but not limited to, attending conferences, acquiring certifications, completing learning courses in-house and other relevant platforms, or engaging in both internal and external leadership programs.