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Data Governance Strategist

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: OneAZ Credit Union
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Data Warehousing, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 84000 - 105000 USD Yearly USD 84000.00 105000.00 YEAR
Job Description & How to Apply Below

2355 W Pinnacle Peak Rd, Phoenix, AZ 85027

Join Us in Making an Impact

At OneAZ Credit Union, our success is measured only by yours. We’re here to create lasting change in the lives of our members, our communities, and our team. If you're looking for a career with purpose, where your work truly matters—you've found it!

You’reimpactful, compassionate, and fearless,ready to embrace new challenges and shape the future of financial well‑being. You take accountability for our success and thrive in an environment where curiosity is celebrated. If this sounds like you,let’sbuild something great together.

What You’ll Do

This position will be located at our Corporate Office: 2355 W Pinnacle Peak Rd, Phoenix, AZ 85027

The Data Governance Strategist is responsible for independently leading, developing, maintaining, and continuously improving the Credit Union’s enterprise data governance program. As the sole contributor dedicated to data governance, this role serves as the primary program owner and business partner for departments across the Credit Union, driving adoption of data governance standards, strengthening data stewardship practices, and promoting a culture of data quality, compliance, privacy, and responsible data use that best serves our members and associates.

Essential

Functions
  • Serves as the sole dedicated contributor and accountable owner for the enterprise data governance program, independently managing program priorities, deliverables, documentation, stakeholder engagement, and ongoing maturity efforts.
  • Develops, maintains, and refines data governance policies, standards, procedures, templates, and program documentation to align with business needs, regulatory expectations, and enterprise risk priorities.
  • Maintains the enterprise data inventory, data glossary, ownership records, stewardship assignments, data lineage documentation, and related governance artifacts to support transparency and accountability.
  • Leads cross-functional coordination for data governance priorities, strategic initiatives, and enterprise data-related projects, ensuring stakeholders understand objectives, decisions, dependencies, and required actions.
  • Evaluates data governance roadmaps, identifies risks, dependencies, and implementation challenges, and develops practical mitigation plans to keep enterprise data governance priorities on track.
  • Manages data governance priorities, stakeholder expectations, timelines, and competing deliverables, adjusting plans as needed to support program objectives and enterprise business needs.
  • Leads identification, documentation, and escalation of data quality improvement opportunities, anomalies, and recurring issues to strengthen governance controls, reporting reliability, and decision-making.
  • Partners with Data and Analytics teams and business units to identify governance-related reporting, data quality, and business intelligence use cases that improve transparency, accountability, and responsible use of enterprise data.
  • Advises management and business partners on data governance best practices, program benchmarks, stewardship expectations, and practical improvements to strengthen enterprise data management practices.
  • Represents the data governance program on cross-functional projects involving business intelligence, reporting tools, system enhancements, integrations, and enterprise data management changes.
  • Leads strategic data governance communications with system owners, Information Technology, data owners, stewards, and other stakeholders to support transparency, adoption, and timely issue resolution.
  • Creates, updates, maintains, and reviews data governance artifacts, including business process models, data flows, data requirements, use cases, and testing documentation needed to…
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