Job Overview
We are looking for a Senior AI Data Readiness Specialist to help Arm accelerate the safe and effective use of AI across the business.
Arm is working at the leading edge of internal AI adoption, using advanced AI and data tooling to improve how teams access, understand, and use enterprise knowledge. This role will help make sure priority data is reliable, well governed, and ready to support responsible AI use at scale.
This is a delivery, governance, and change-focused role for someone who enjoys working with people, building trust, and enabling AI adoption through better data readiness.
You will work with data owners and delegates across Arm, IT platform and AI teams, and external AI development partners to assess AI data readiness, shape remediation plans, and embed sustainable ways of working.
In practice, this means independently assessing priority data, identifying gaps, coordinating fixes, presenting recommendations, and helping teams understand why good data readiness matters for AI.
This role is well suited to someone who can bring structure to complex work, communicate clearly, influence across teams, and support people through change.
Responsibilities:
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Independently coordinate AI data readiness activity with data owner teams, including assessments, findings, evidence, and follow-up actions.
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Work with internal business, IT, engineering, platform, and external AI development teams to shape and monitor remediation plans for priority data sources.
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Build engagement with data owner teams, helping them understand the value of AI data readiness and the practical steps needed to improve it.
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Identify readiness gaps across structured and unstructured data, including metadata, tagging, ownership, retention, permissions, evidence, and controls.
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Maintain clear records of data owners, delegated owners, readiness status, remediation actions, evidence, and review cycles.
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Build reporting on progress, risks, issues, dependencies, and project stages, highlighting where decisions or action are needed.
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Present findings, recommendations, and progress updates in a clear and practical way, supporting understanding, adoption, and decision-making.
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Support the Data Governance Lead by turning AI governance requirements into practical delivery plans, embedded processes, and measurable improvements.
Required Skills and Experience:
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Experience with data governance, data management, data quality, records management, risk, compliance, change delivery, or a related delivery role.
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Understanding of data quality, metadata, tagging, retention, ownership, controls, and evidence management.
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Experience coordinating assessments, tracking actions, maintaining records, and following up with stakeholders.
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Experience working with technical and non-technical teams to turn requirements into practical improvements, communicate recommendations, and support adoption.
“Nice To Have” Skills and Experience
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Understanding of how AI solutions use metadata, tagging, permissions, source data quality, and context signals.
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Experience working with enterprise AI tools, data platforms, knowledge management systems, collaboration tools, document repositories, or data catalogues.
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Experience preparing readiness reports, governance status updates, dashboards, or control evidence.
In Return:
In return, you’ll help define how the organisation manages and connects its data. Improving quality, metadata, tagging, retention, ownership, and controls, while helping teams understand how their data underpins AI solutions.
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Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Salary Range:
£66,600
per year
