Data Governance Architect – Investment Management

Overview

A leading global fund manager is building out its data architecture function — and this is a pivotal hire. The business has moved from fragmented, business-line technology setups to a platform-first approach. The data architecture team sits above the platform, and this role sits at the heart of it defining all data governance standards from scratch and implementing them.

Responsibilities

• Be the standard-setter for data governance, working closely with senior business stakeholders to create templates, frameworks and requirements that govern how data products are built and delivered consistently across the organisation.
• Define what good looks like. Standardise data delivery across business lines, embedding compliance and governance into the process from the start, and ensuring every data product lands the same way, every time.
• This is architecture — the thinking, the standards and the structures that everything else is built on. It is not a data platform or a data engineering role.

About You

• Senior data architect with a strong governance instinct. You may have come up through data governance, data management or enterprise architecture. What matters is your ability to bring consistency to complex, federated data environments and to hold that line with senior stakeholders.
• Experience defining data architecture standards, patterns and templates at enterprise scale, with a strong grasp of data governance, compliance and data product delivery.
• Credibility to engage and influence at business and leadership levels. A practical mindset: you build things that get adopted, not just frameworks that gather dust.
• Industry background is open. If you have done this in financial services, great. If not, the complexity of this environment will still suit you.

What makes this role unique?

The mandate is clear, leadership is bought in, and the gap is real. This is a chance to shape how a world-class investment management business thinks about and delivers data — for the long term.

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