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Senior Data Governance Specialist (Hands-on / Business-Facing)

United States full-time Senior Salary not listed
full-time Senior level Technology & IT Curated
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About the role

WHAT WE DO
Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.
GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.
Summary
We are looking for a Senior Data Governance Specialist to support the execution and day-to-day delivery of data governance initiatives within a financial services organization.
This role is highly hands-on and business-facing. You will work closely with business stakeholders, data owners, and technical teams to understand the current data landscape, including existing data infrastructure, resources and products, identify gaps, and help deliver concrete governance outcomes—such as enriched data catalogs, defined ownership, and actionable data quality improvements.
This is not a purely strategic role. The ideal candidate is someone who can roll up their sleeves, actively contribute to deliverables using industry-standard tools to perform exploration, orchestration and other data management tasks, and translate conversations with the business into clear actions, documentation, and execution.
Education
Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, Business Analytics, or a related field.

Professional Experience

5+ years of experience in Data Governance, Data Quality, Data Management, or related roles.

Proven hands-on experience supporting data governance execution in regulated environments (financial services, banking, insurance, or similar).

Experience working directly with business stakeholders to understand data needs, challenges, and priorities.

Key Responsibilities

Support the execution of data management and governance initiatives across multiple business functions.

Work directly with business stakeholders to understand current data landscapes, challenges, and needs.

Capture outcomes from stakeholder meetings and translate them into clear action plans and governance deliverables.

Identify and prioritize high-impact, low-complexity opportunities to deliver immediate value and demonstrate the tangible benefits of data governance to stakeholders.

Contribute to the enrichment and maintenance of the enterprise data catalog (definitions, ownership, metadata).

Assist with defining, implementing, and monitoring data quality rules in collaboration with Data Quality and Engineering teams.

Support data lineage and metadata documentation efforts.

Help coordinate data governance activities across domains, ensuring follow-through and execution.

Document governance processes, decisions, definitions, and artifacts clearly and consistently.

Participate in business-facing sessions and working meetings, serving as a bridge between business and data teams.

Support regulatory and audit-related data governance requirements through proper documentation and controls.

Required Technical Skills

Strong understanding of data governance concepts, data ownership, stewardship, and metadata.

Hands-on experience with data catalogs and lineage tools (e.g., Collibra, Alation, Informatica EDC, Azure Purview).

Solid SQL skills to support data investigation, validation, and profiling.

Familiarity with data quality concepts and collaboration with DQ teams.

Understanding of ETL/ELT processes and data pipelines.

Experience using Jira, ServiceNow, or similar tools to track governance tasks and issues.

Soft Skills

Advanced English proficiency (written and verbal).

Strong attention to detail and documentation skills.

Comfortable interacting with business stakeholders and facilitating working sessions.

Highly organized, able to manage multiple parallel tasks and follow through on deliverables.

Practical, execution-oriented mindset.

Nice to Have

Experience with cloud data platforms (AWS, Azure, GCP).

Basic scripting (Python) for supporting data checks or automation

At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

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Senior
Technology & IT Data Analysis MySQL Python Remote Collaboration SQL Senior level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Governance Specialist (Hands-on / Business-Facing) role.
  2. How would you approach your first 30 days at name?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Governance Specialist (Hands-on / Business-Facing) role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes name needs from this hire.

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