Head of AI Governance

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.

Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.

That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.

Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.

For our business, for clients, and for you

Head of AI Governance

Role Location           Greater Boston Area
Reports To                Chief AI and Data Science Officer

We are looking to hire a practical and visionary Head of AI Governance to join our  leadership team and play a pivotal role in shaping the future of AI across the Apex Group. Reporting directly to the Chief AI and Data Science Officer, this role will spearhead the development and implementation of governance strategies that ensure responsible, ethical, and risk-mitigated AI deployment across the organization. This is a strategic appointment with a global remit, offering the opportunity to drive operational excellence and innovation in the highly regulated financial services sector. 

Key Responsibilities:

The successful incumbent will initially be responsible for the following, with scope expanding as the function matures:

• Establish an enterprise-wide AI policy framework, ensuring the safe, explainable, and responsible use of agentic systems and LLM-based applications.
• Design and implement a comprehensive AI/ML and Data Governance framework that integrates infrastructure, data assets, and use cases under a unified risk mitigated model aligned to business strategy and regulatory expectations.
• Ensure alignment with global regulatory compliance, utilizing skills in existing team, including documentation, audit readiness, and ethical AI practices tailored to the financial services industry.
• Drive cross-functional collaboration between Data, Engineering, Risk, Compliance, Legal, Security, and Product teams to embed governance practices into AI lifecycle management.
• Champion AI ethics, fairness, transparency, and accountability across AI Applications, models, and decisioning systems.
• Define metrics and reporting structures to monitor model risk, performance drift, data lineage, and compliance effectiveness.
• Support the build-out of a global AI Governance team, setting direction, hiring talent, and enabling growth of capabilities in a scalable and efficient manner.
• Provide executive updates and strategic advice to the Board, Audit and Risk Committees, and C-level stakeholders.

Required Skills and Qualifications:

• Proven leadership in designing and executing enterprise-wide AI governance strategies, operating models, and risk frameworks.
• Deep knowledge of responsible and ethical AI principles (e.g., fairness, transparency, accountability, privacy) and experience embedding these across the AI/ML lifecycle.
• Strong grasp of regulatory and compliance requirements, including GDPR, EU AI Act, ISO 42001, and financial-sector obligations.
• Experience managing AI/ML lifecycle risks including bias, drift, explainability, and model monitoring, with oversight of MLOps and audit processes.
• Skilled in developing AI governance policies, model validation procedures (e.g., SR 11-7), and coordinating across legal, risk, and regulatory functions.
• Effective cross-functional and global leader, with experience building responsible AI education programs, governance culture, and stakeholder engagement.
• Adept at advising on high-risk use case selection, escalation paths, and balancing innovation with enterprise safeguards.
• Familiar with tools for AI oversight, including explainability libraries, governance dashboards, and GRC platforms.

Preferred Personal Attributes:

• Strategic thinker with strong operational execution capabilities.
• Passionate about responsible innovation and emerging technologies.
• Comfortable operating in fast-paced, ambiguous environments.
• Strong ethical compass and commitment to responsible AI adoption.

What you will expose:

• Be part of