Chief AI and Data Office; CAIDO Business Manager

AI & Data Office (CAIDO) Business Manager

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

The AI and Data Office (CAIDO) Business Manager will lead the governance, execution, and oversight of the firm’s global data transformation agenda. This role is responsible for establishing the frameworks, standards, and operating model that ensure data initiatives are delivered consistently, efficiently, and in alignment with strategic business priorities.

Operating at the intersection of technology, operations, and regulatory compliance, the AI and Data Office Business Manager will drive enterprise‑wide coordination, strengthen data governance, and ensure the successful delivery of programs that enhance data quality, accessibility, and value across the fund administration ecosystem.

This is a high‑visibility leadership role with significant influence across global operations, product teams, and executive stakeholders.

• Lead the global Data Program Office, overseeing the planning, prioritization, and execution of all data‑related initiatives.
• Establish and maintain program governance frameworks, delivery standards, and reporting structures.
• Ensure alignment between data programs and the firm’s strategic objectives, regulatory obligations, and client commitments.
• Monitor program performance, risks, dependencies, and budgets, providing transparent reporting to executive leadership.
• Translate the enterprise data strategy into actionable programs and work streams across data governance, data quality, data architecture, BI, and AI/ML.
• Partner with the Chief Data Officer and senior leaders to define multi‑year roadmaps and investment priorities.
• Drive consistency and standardization across global data initiatives, ensuring scalability and operational efficiency.
• Act as a central point of coordination across technology, operations, product, risk, and compliance teams.
• Build strong relationships with global business leaders to ensure adoption of data standards, policies, and tools.
• Lead change‑management efforts to embed data‑driven practices across the organization.
• Communicate program progress, risks, and outcomes in a clear, executive‑ready manner.
• Oversee the implementation of data governance frameworks, including data ownership, stewardship, and quality controls.
• Ensure compliance with regulatory requirements relevant to fund administration, including data privacy, reporting standards, and operational risk frameworks.
• Partner with risk and compliance teams to strengthen data controls and audit readiness
• Implement best‑practice methodologies for program and portfolio management.
• Drive continuous improvement across data processes, tooling, and delivery models.
• Ensure that data initiatives deliver measurable business value, operational efficiency, and enhanced client outcomes.
• Support the adoption of modern data platforms, cloud technologies, and automation capabilities.

• 10+ years of experience in data management and AI/ ML program management, or transformation leadership,
• Proven track record delivering enterprise‑scale data programs in financial services; fund administration or asset servicing experience strongly preferred.
• Deep understanding of data governance, data quality, metadata management, and modern data…