Tech, Data & AI Governance Manager

Arca Resourcing
London, United Kingdom
Last month
Job Type
Permanent
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
26 May 2026 (Last month)

Benefits

Competitive Salary Excellent Package

Tech, Data & AI Governance Manager - Permanent

Hybrid – London - 2 days per week minimum onsite

Competitive Salary + Excellent Package

ARCA Resourcing is proud to partner with a forward-thinking enterprise undergoing a major transformation across data, AI, and enterprise technology governance. This is a rare opportunity to shape and lead a business-wide Data & AI Governance capability within a complex, modern technology environment.

The organisation operates a sophisticated cloud-based data ecosystem including lakehouse architecture, customer data platforms, enterprise analytics, and a broad application landscape spanning modern and legacy technologies. As investment in AI accelerates, the business is seeking a strategic governance leader who can establish robust frameworks, influence senior stakeholders, and drive meaningful change at pace.

The Opportunity

As the Tech, Data & AI Governance Manager, you will take ownership of the organisation’s enterprise-wide Data & AI Governance Framework - defining policies, standards, controls, and operating models that ensure data is treated as a strategic asset and AI is deployed responsibly.

This is a highly visible role with direct exposure to senior leadership, including C-Suite stakeholders and the CEO. You will build trusted internal partnerships, influence decision-making across technology and business functions, and create governance structures that balance innovation with control.

You will thrive in this role if you are commercially minded, pragmatic, and capable of turning strategy into action quickly.

Key Responsibilities

* Develop and implement an enterprise-wide Data & AI Governance Framework

* Define governance policies, standards, controls, and operational processes across data and enterprise systems

* Establish Data Ownership and Stewardship models across business domains

* Lead the strategy for metadata management, data cataloguing, lineage, and classification

* Define and embed Data Quality Management frameworks and KPIs

* Create governance approaches for AI usage, approval processes, monitoring, and ethical oversight

* Partner with Legal, Risk, Security, Architecture, and Technology teams to ensure regulatory compliance and operational alignment

* Drive governance adoption through communication, training, stakeholder engagement, and change management

* Chair governance forums and report progress, risks, and adoption metrics to executive stakeholders

* Support enterprise transformation initiatives by embedding governance into delivery and change processes

What We’re Looking For

We’re looking for an influential governance leader who combines strategic thinking with delivery focus.

* Strong experience building or leading Data Governance frameworks within complex enterprise environments

* Knowledge of AI Governance, responsible AI principles, and emerging regulatory landscapes

* Experience with metadata management, data cataloguing, lineage, and governance tooling

* Understanding of modern cloud data platforms and enterprise architectures

* Experience working across both technical and non-technical stakeholder groups

* Strong communication and stakeholder management capability, including exposure to executive leadership teams

* A pragmatic approach - someone who can create governance that enables innovation rather than blocks it

* Proven ability to drive adoption, influence behaviours, and deliver outcomes at pace

Exposure to technologies, modern cloud platforms, customer data platforms, enterprise BI tooling, or MLOps governance environments would be highly advantageous.

Why Join?

This is an opportunity to define and shape governance strategy during a significant period of enterprise transformation. You’ll operate at the centre of technology, data, AI, and business leadership - helping to establish the foundations for scalable, responsible, and commercially valuable use of data and AI across the organisation.

If you are passionate about governance, influence, and building modern operating models that genuinely enable business performance, we’d love to hear from you.

Please click on the link below for immediate consideration

Related Jobs

View all jobs
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid

Tech, Data & AI Governance Manager

Arca Resourcing London, United Kingdom
Hybrid

Analytical Engineer

Ageas Insurance Limited Rh20Eg, RH2 0EG, United Kingdom
£55,000 – £70,000 pa Hybrid

Senior Manager (AI Safety)

Faculty AI London, United Kingdom
Hybrid

Delivery Manager (AI Safety)

Faculty AI London, United Kingdom
Permanent

Senior Project Manager

Darktrace London, UB8 1LQ, United Kingdom
On-site

People Operations Architect

Multiverse London, United Kingdom
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.