senior technical ai governance specialist
overview
we are seeking a senior technical ai governance specialist with deep expertise in ai/ml governance, model lifecycle management, enterprise ai architecture, cybersecurity, risk management, and regulatory compliance within highly regulated environments, preferably in the banking and financial services sector.
the ideal candidate will provide both technical and regulatory oversight for ai initiatives, ensuring that ai systems are designed, tested, deployed, and governed in accordance with internal policies, industry standards, and regulatory requirements.
core expertise
ai & technical governance
- ai/ml model lifecycle management
- model testing, validation, and monitoring
- enterprise ai architecture
- ai risk assessment and mitigation
- ai performance and validation testing
- adversarial, bias, robustness, and vulnerability testing
- ai platform and architecture governance
risk, security & compliance
- cybersecurity and resilience management
- regulatory compliance oversight
- banking and financial services governance
- audit management and evidence preparation
- risk classification and approval workflows
- kri (key risk indicator) monitoring and remediation planning
program & stakeholder management
- program and portfolio management
- cross-functional stakeholder engagement
- executive and regulatory communications
- issue, risk, and escalation management
- process design, standardization, and documentation
- roi assessment and ai business case evaluation
key responsibilities
ai governance operations
- manage ai governance forums and operating cadence.
- coordinate with model owners, delivery teams, risk, security, and compliance stakeholders.
- review model testing and validation outputs.
- maintain governance documentation, evidence repositories, approvals, and audit trails.
- support day-to-day ai governance administration and reporting.
risk & control oversight
- oversee centralized ai use case intake and inventory management.
- execute risk classification and approval processes for high-risk ai use cases.
- coordinate architecture, security, compliance, and risk reviews.
- monitor ai-related risks, control effectiveness, and remediation activities.
- escalate issues and support stop/go decisions when required.
testing & validation governance
- govern and oversee:
- performance testing
- security and resilience testing
- adversarial testing
- bias and fairness testing
- vulnerability assessments
- robustness testing
audit & regulatory engagement
- support regulatory reviews and external audits.
- prepare governance evidence and compliance documentation.
- respond to audit findings and remediation requests.
- ensure ongoing compliance with evolving ai governance regulations and standards.
team purpose
this team provides the technical and regulatory expertise necessary to challenge ai design decisions, assess and mitigate risk, and operate enterprise-scale ai governance frameworks. The function plays a critical role in ensuring ai systems remain secure, compliant, transparent, and aligned with organizational objectives.
success profile
the successful candidate will combine strong technical ai expertise with governance, risk, compliance, and stakeholder management capabilities. They will be comfortable interacting with senior executives, regulators, auditors, and technical teams while driving ai governance maturity across the organization.
