Senior AI Governance Specialist
Northern Trust (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 16h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Northern Trust
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Northern Trust you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead and operationalize AI governance by translating AI policies into practical controls, assessing AI use cases for risks, and guiding business teams on compliance and safe AI adoption.
- Maintain and manage AI inventory linking models to data sources, oversee AI model risk management including bias, explainability, privacy, and third-party risks.
- Develop and deliver AI governance training, monitor AI system telemetry and guardrails, report risks and compliance metrics to senior leadership and committees.
Minimum Requirements
- 10+ years experience in data governance, model risk, technology risk, compliance, or related analytical roles.
- Bachelor's degree in Computer Science, Information Technology, Math, Data Science, Engineering, Statistics, Finance, or related field.
- Proven domain experience in financial services or regulated industries such as healthcare or insurance.
- Working knowledge of data management practices and AI/ML lifecycle, including risk assessment and model validation.
Ideal Candidate Profile
- Experienced in operationalizing AI governance within regulated financial services environments with mature risk management frameworks.
- Able to work cross-functionally across data, technology, risk, legal, and business teams, influencing stakeholders at senior and non-technical levels.
- Strong project and change management skills with a pragmatic approach focused on enabling safe and scalable AI adoption.