Principal, AI Data Governance
SALARY: $200k - $230k
LOCATION: CHICAGO, IL
Hybrid 3 days onsite
Looking for a candidate with 10+ years data governance, risk management, technology governance, compliance. 4-plus years, focused on AI/ML. Hands on data governance is required including data quality meta data management data lineage and data classification regulated industry with financial services strongly preferred
This role serves as the internal authority on responsible AI practices, policy, risk, and data governance, partnering closely with Technology, Risk, Compliance, Legal, Data, and business leaders to ensure AI systems are developed and deployed in a transparent, ethical, and compliant manner.
Qualifications:
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions.
- 10+ years of experience across data, data governance, risk management, technology governance, or compliance, with at least 4 years focused on AI/ML.
- Hands-on experience in data governance is required, including data quality, metadata management, data lineage, and data classification.
- Deep understanding of the AI/ML lifecycle, including model development, validation, deployment, and monitoring.
- Strong knowledge of AI regulatory and ethics frameworks such as NIST AI RMF.
- Experience operating in a regulated industry, with financial services strongly preferred.
- Demonstrated ability to translate complex technical and regulatory concepts into clear policies and practical guidance.
- Excellent communication and influencing skills, with the ability to engage effectively at both technical and executive levels.
- Experience with privacy regulations and their intersection with AI and data governance.
Technical Skills:
- Proficient with SQL
- Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
- Database experience a plus (e.g., Oracle, SQL Server, DB2)
Education and/or Experience:
- 10+ years of experience across data, data governance, risk management, technology governance, or compliance, with at least 4 years focused on AI/ML.
- Experience operating in a regulated industry required; financial services strongly preferred.
Never miss an opportunity! Create an alert based on the job you applied for.