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Director, Data Governance

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Kestra PWS
Full Time position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    Data Security, Data Engineer, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Encino Building #2, 5707 Southwest Parkway, Austin, Texas, United States of America

Posted Tuesday, June 17, 2025 at 6:00 AM

ABOUT US:

Kestra Holdings offers industry-leading wealth management platforms for independent wealth management professionals nationwide. With an innovative culture that celebrates independence, the company seeks to redefine the future of the advisory industry through superior service, cutting-edge technology, and preeminent resources that every financial professional needs to succeed in the market now and in the years to come.

Kestra Holdings companies collectively oversee $123 billion in assets under administration (AUA) and support more than 2,400+ independent financial professionals across the country in delivering comprehensive securities, trust, and investment advisory services to their clients. Located in the “Silicon Hills” of Austin, Texas, Kestra Holdings offers an experience as unique as the city in which it operates.

Kestra is seeking a strategic and results-driven Director of Data Governance to lead the expansion of our enterprise data governance capabilities, with a sharp focus on data quality, data stewardship, and master data management (MDM). In this pivotal leadership role, you will architect and drive a comprehensive governance program that ensures the accuracy, consistency, and trustworthiness of Kestra’s critical data assets across lines of business.

You will be responsible for leading the framework, tools, and processes to manage master and reference data domains, enforce data quality standards, and promote stewardship accountability throughout the organization. This is a high-impact role ideal for a collaborative leader who understands how trusted data can reduce operational risk, enhance compliance, and power advanced analytics.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Lead the development and execution of Kestra’s enterprise data governance strategy, with a focus on data quality management, stewardship programs, and MDM implementation.
  • Define and enforce policies, standards, and controls for Kestra’s enterprise data platform, including data quality, master and reference data, metadata, and lineage.
  • Establish a scalable data stewardship model, coordinating across business units and data domains to assign clear ownership and accountability.
  • Develop and execute strategies for master and reference data management, including domain prioritization, data modeling, entity resolution, and stewardship workflows.
  • Oversee the management of golden records for critical entities such as Firms, Reps, Clients, Accounts, and Products.
  • Build and maintain a central inventory of critical data elements and their relationships, including hierarchies and mappings.
  • Oversee the management and adoption of our data governance tech (e.g., Alation, Monte Carlo, Profisee).
  • Collaborate with stakeholders in Data Engineering, Data Product, Business Intelligence, Cyber Security, and Compliance to integrate governance into data pipelines, platforms, and products.
  • Define data quality metrics, KPIs, and scorecards to monitor data health and drive remediation efforts in partnership with business and technology teams.
  • Represent Data Governance in enterprise projects including data platform modernization, business transformation, and AI/ML enablement.
  • Evangelize a culture of data responsibility through training, communication, and enablement initiatives.
KNOWLEDGE, SKILLS, AND/OR ABILITIES:
  • Expertise in data governance frameworks (e.g., DAMA-DMBOK) and practical experience operationalizing them in complex environments.
  • Proven experience with enterprise MDM and RDM programs, including entity matching, hierarchy management, and data stewardship design.
  • Deep understanding of data quality management including profiling, validation, cleansing, and automated monitoring techniques.
  • Familiarity with data governance and MDM technologies such as Alation, Monte Carlo, Profisee, Databricks Unity Catalog.
  • Experience integrating governance into modern data stack environments (e.g., Azure, Databricks).
  • Ability to partner and influence across the enterprise—from technical teams to executive leadership.
  • Strong leadership,…
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