Responsibilities
- Automated Use Case Intake & Risk Classification
- Governance-as-Code Toolkits
- Enterprise Model & Use Case Registry Integration
- Self-Service Enablement & Automation
- Governance for Agentic Automation
- Leadership & Collaboration
Requirements
- Experience leading software or platform engineering teams.
- Strong system architecture skills across APIs, automation, CI/CD, and data platforms.
- Experience building developer-facing tools such as SDKs, templates, or automation frameworks.
- Familiarity with ML and Generative AI lifecycles and how governance controls can be validated through automation.
- Ability to translate governance or risk requirements into scalable technical solutions.
- Experience with Responsible AI concepts such as fairness, transparency, explainability, and auditability (preferred).
- Experience integrating automated quality gates into Git-based workflows and CI/CD pipelines (preferred).
- Background working in regulated or high-trust technology environments (preferred).
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline.
- Master's degree preferred.
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