Data Management Architect (AI)

Location: Remote work in England, UK. Contract role for 3–6 months with transfer to permanent employment available; O/IR35.

Company

Global, private-equity-backed B2B software provider with an AI-powered platform used by enterprise customers in dozens of countries.

What you will do

• Define the data strategy and prioritised roadmap with the Chief Data & AI Officer, reporting progress to leadership.
• Establish the governance operating model, including data domains, owners, stewards, decision rights, and a governance council.
• Define technical standards covering modelling, data contracts, classification, retention, access patterns, and integration.
• Embed automated tagging, policy-based access, quality gates, and lineage capture into platforms and pipelines.
• Select, configure, and operate cataloguing, glossary, lineage, data quality, and access-policy tooling; own the catalogue, critical-data lineage, and quality framework.
• Define AI data requirements and translate GDPR, data residency, customer data terms, and the EU AI Act into controls, classification rules, and assurance evidence.

Requirements

• 8+ years in data governance, data management, data quality, metadata, or data architecture, including leading an enterprise governance programme from design through operation.
• Hands-on technical expertise in reading data models, writing SQL, reviewing pipeline designs, and discussing lineage and access controls with engineers.
• Experience configuring and integrating governance tools such as Collibra, Microsoft Purview, Unity Catalog, Ataccama, or Informatica.
• Experience embedding governance into modern cloud data platforms through data contracts, automated classification, and quality gates.
• Experience as architect of record for BI and data integration platforms, including warehouses or lakehouses, ELT, APIs, and event-based integration.
• Working knowledge of GDPR and equivalent regulations, plus AI data governance requirements for LLM, retrieval, and agent workloads.
• Proven ability to build ownership models and run governance forums in a complex organisation.
• Pragmatic, low-ego approach, with the ability to challenge risks to data standards and to operate at both strategic and detailed technical levels.

Nice to have

• Experience in software or fast-moving technology environments.
• Regulated-industry or private-equity-backed experience.
• CDMP or DGSP certification; demonstrated delivery is valued more highly.

Culture & Benefits

• Technical, hands-on role rather than a policy-writing or compliance-only position.
• Work closely with the Chief Data & AI Officer, CIO, CISO, BI, Legal, Privacy, data, and integration teams.
• Remote work from England, with a 3–6-month contract and the possibility of transfer to a permanent role.
• Build a proportionate governance model focused on trusted, secure, AI-ready data and measurable risk reduction.