Data Risk Governance Analyst — Hybrid (Plano)

Kelly Mitchell; Plano (TX); Hybrid; USD 48,000 - 69,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Insurance

Employee-Owned Profit Sharing (ESOP)

401K offered

Job summary

KellyMitchell Group is seeking a Data Risk Governance Analyst in Plano, TX. This contract role supports data mapping, governance reviews, and data onboarding for a large acquisition. You will work with SQL and Python to analyze datasets, ensure data classifications, and manage risk controls in a regulated financial services environment.

The position offers hybrid work with 3 days onsite and 2 days remote, and potential conversion after 6+ months based on performance.

Qualifications

• Financial Services data knowledge and experience.
• Experience handling sensitive customer data in regulated environments.
• Experience supporting governance, risk, and process operations.
• Ability to perform high-volume, accurate data review.

Responsibilities

• Execute metadata governance and stewardship for dataset requests.
• Review and certify dataset classifications and sensitive data attributes (PII, etc.).
• Support external data sharing reviews with partners.
• Map data during integration of acquired datasets.
• Conduct schema validation and privacy tag reviews.
• Identify and remediate data risk issues and controls.
• Prepare governance reports for leadership.
• Analyze governance metrics to identify trends and improvements.
• Use SQL and Python to extract, manipulate, and validate data.
• Support risk governance cycles and data quality initiatives.
• Collaborate across business, risk, governance, and tech teams.

Skills

SQL for data extraction

Python scripting

Data governance

Data risk management

Stakeholder management

Attention to detail

Analytical thinking

Clear communication

Education

Bachelor's degree

Tools

AI tools

Job description

KellyMitchell Group is seeking a Data Risk Governance Analyst in Plano, TX. This contract role supports data mapping, governance reviews, and data onboarding for a large acquisition. You will work with SQL and Python to analyze datasets, ensure data classifications, and manage risk controls in a regulated financial services environment.

The position offers hybrid work with 3 days onsite and 2 days remote, and potential conversion after 6+ months based on performance.