Senior Data Governance Analyst; P3 - Kestra Holdings

Senior Data Governance Analyst (P3) - Kestra Holdings

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Kestra Financial is a wealth management platform dedicated to empowering independent financial professionals—including traditional and hybrid RIAs—to grow their businesses and deliver exceptional client service. We combine advanced business management technology with personalized consulting to provide unmatched scale, efficiency, and support. Our advisor-focused culture is built on innovation and advocacy, enabling advisors to offer comprehensive securities and investment advisory solutions to their clients.

Lead with Purpose. Partner with Impact.

Kestra is seeking a motivated and detail-oriented Senior Data Governance Analyst to support the growth and execution of our enterprise data governance framework. This role will work cross-functionally with product owners, stewards, and technical teams to help define and maintain key data standards, policies, definitions, and quality practices across the enterprise.

As part of the growing Data Governance team, you will assist with monitoring data quality, cataloging critical data elements, and promoting data literacy. This is an excellent opportunity for an analyst with foundational experience in data governance or data management who is eager to contribute to impactful enterprise initiatives in a modern data environment.

• Lead implementation and custodianship of data definitions, metadata standards, and business glossaries using Alation.
• Drive identification and stewardship of critical data elements, defining and maintaining business rules and ensuring alignment with enterprise priorities.
• Proactively lead monitoring and triaging data quality issues using Monte Carlo and lead to remediation coordination with both business stakeholders and technical teams.
• Design and maintain enterprise data quality dashboards and reporting solutions using Tableau to drive insights and accountability.
• Partner with data stewards, data engineering, and BI teams to align data sources with enterprise data models and recommend improvements to data architecture.
• Provide oversight and execution support for data validation and testing across systems during releases and project deployments.
• Lead efforts in Master Data Management (MDM) and Reference Data Management (RDM), including configuration, governance, and lifecycle oversight.
• Maintain and enhance enterprise data catalog documentation, ensuring accuracy of data lineage, ownership, and classification.
• Drive implementation of data governance standards, policies, and best practices across departments and act as a change agent to improve data literacy and governance adoption.
• Collaborate with third-party data providers to ensure integrity, quality, and SLA compliance of inbound data feeds.
• Provide strategic guidance and hands‑on support for QA and UAT efforts, ensuring data‑related test scenarios reflect real‑world business needs and data risk exposure. Recommend test cases to be permanent.
• Manage daily operations and continuous improvement of Governance‑managed tools (Alation, Monte Carlo), including integrations, vendor relations, cost/license tracking, and feature adoption.
• Collaborate closely with Data Engineering to define, maintain, and promote certified datasets as trusted sources for analytics and reporting.
• Mentor junior team members and contribute to governance strategy development.
• Foster a culture of data stewardship, literacy, and responsible data usage throughout the organization.

• 8+ years of progressive experience in data governance, data quality and data management roles.
• 10+ years’ experience in Data Warehousing, Business Intelligence, and Business Analysis.
• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field.
• Experience leading or coordinating data initiatives within a cross‑functional or matrixed organization.
• Familiarity with regulatory environments (e.g., financial services, healthcare, etc.) and their impact on data governance.
• Experience with Agile or Scrum methodologies and tools such as Jira or…