Data engineer azure, databricks, ml/ai Work, Jobs in Birmingham, Wmd (with Salaries)

Senior Manager, AI Product Management
KPMG —Birmingham
- Full-time
- Machine learning
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Senior Information Manager
AECOM —Birmingham
- Hybrid work
- Engineering
- Bachelor's degree
- No degree
Senior Data Engineer (on-site) - Active SC
Methods Business and Digital Technology —Worcester
- £70,000 - £85,000 a year
- Full-time
- Azure
- Scripting
- In-person
- Annual leave
- Employee assistance programme
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Resiliency & Recovery Manager
Crawford & Company Adjusters (UK) Ltd —Birmingham
- Remote
- Azure
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Principal Online Engineer
Lighthouse Games —Leamington Spa
- Full-time
- Hybrid work
- Mentoring
- Leadership
- Communication skills
Quick apply
8d
Semantic Governance Managing Consultant - Ontologies and Semantics
Capgemini —Birmingham
- Hybrid work
- Mentoring
- Leadership
7d
Business Analyst
Capgemini —Birmingham
- Hybrid work
- Master's degree
- Machine learning
- AI
7d
Cloud Operations Manager
MITSUBISHI ELECTRIC ICONICS DIGITAL SOLUTIONS UK —Dudley
- £55,000 - £75,000 a year
- Full-time
- Azure
- Computer Science
- Bachelor's degree
Quick apply
7d
1st / 2nd Line IT Support Analyst
OneSchool Global United Kingdom —Leamington Spa
- Full-time
- Maintenance
- Windows
- Travel
- Annual leave
- Referral programme
Applications Operations Engineer
Agriculture & Horticulture Development Board (AHDB) —Coventry
- £30,000 - £36,000 a year
- Full-time
- Hybrid work
- Presentation skills
- SharePoint
- Communication skills
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4d
Senior Software Developer, Team Lead
MITSUBISHI ELECTRIC ICONICS DIGITAL SOLUTIONS UK —Dudley
- £55,000 - £75,000 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Senior Online Engineer
Lighthouse Games —Leamington Spa
- Full-time
- Hybrid work
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8d
Senior Manager, Customer Success Engineering
Veeam Software —Birmingham
- Remote
- Leadership
- Annual leave
- Employee assistance programme
15h
Front End UI / Full-Stack Software Developer
Spire Technology Group Limited —Worcester
- From £38,000 a year
- Hybrid work
- Azure
- Software troubleshooting
- Communication skills
- Free parking
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7d
Quantexa Senior Manager
KPMG —Birmingham
- Full-time
- Computer Science
- Agile
- Communication skills
1037 | Senior Product Manager
Intetics —Birmingham
- Remote
- Machine learning
- Product management
- Agile
Quick apply
Principal Security Consultant - DSS
LRQA group —Birmingham

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Senior Manager, AI Product Management

KPMG -
Birmingham

Apply Now

Job details

Permanent | Full-time
4 days ago

Qualifications

Stakeholder collaboration
Stakeholder liaison
Machine learning
Team management
Product management
Agile
Multidisciplinary collaboration
Technical roadmaps
Business requirements
Technical product management experience
AI
Communication skills

Full job description

Job details

Location: Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gibraltar, Glasgow, Leeds, London, Manchester, Milton Keynes, Newcastle upon Tyne, Nottingham, Reading, South Coast - Southampton, Watford

Capability: Audit

Experience Level: Senior Manager

Type: Full Time

Business Area: Audit Centre of Excellence (ACE), Technology

Contract type: Permanent

Job description

Grade:

Job Title:

Senior Product Manager - AI

Team:

Clara Innovation & Deployment

Locations:

UK (any office)

Capability:

Audit

Service line:

Central Audit

Contract type:

Permanent

Summary of role purpose:

The role will play a central part in delivering the audit practice’s most significant AI‑led transformations, including the accreditation and deployment of Agentic platforms and solutions, as well as re‑imagining central audit functions through AI. These initiatives are critical to scaling audit quality, accelerating delivery, and reshaping how audit expertise is accessed and consumed across the firm.

Description of the role:

An AI Senior Product Manager within Audit’s Clara Innovation & Deployment team drives the strategy, roadmap, and execution of AI and machine learning‑powered products that enhance audit quality, efficiency, and insight. This role serves as the critical link between auditors, data scientists, engineers, and governance stakeholders to ensure the development of scalable, ethical, and high‑impact AI solutions across the audit practice.

Key Responsibilities

Lead the product management contribution to the accreditation, deployment, and adoption of agentic platforms and solutions, working closely with audit quality, risk, and governance stakeholders to enable safe, scalable use of advanced AI capabilities.
Drive the re‑imagining of audit functions through AI, translating strategic intent into AI‑enabled products and workflows that transform service delivery, improve responsiveness, and unlock new sources of audit insight.
Define and manage the product vision, roadmap, and delivery strategy for AI and machine learning solutions within the audit domain.
Translate complex audit processes and business needs into clear, prioritised product requirements that leverage AI and ML capabilities.
Collaborate with data scientists, ML engineers, architects, and governance leads to deliver compliant, secure, and effective AI solutions.
Ensure ethical and responsible AI design through alignment with Responsible AI frameworks, bias mitigation, transparency, and robust model lifecycle management.
Track product success through adoption metrics, value measures, and user feedback, adjusting roadmaps accordingly.
Engage with audit stakeholders to prioritise features, validate solutions, and drive user‑centric product design.
Lead cross‑functional delivery teams using agile methodologies, ensuring alignment to audit quality, risk, and strategic business outcomes.
Provide thought leadership on emerging AI and ML technologies and their potential application within the audit profession.

Current and Upcoming Focus Areas

AI‑enabled audit agents and copilots embedded into core audit workflows.
Scaling GenAI platforms (e.g. M365 Copilot and audit‑specific AI platforms e.g. Clara AI & Clara Data Labs) with appropriate governance, monitoring, and accreditation.
Industrialising AI delivery through AI‑driven engineering approaches, reusable components, and platform‑led delivery models (AI Factory patterns).
Responsible AI governance, including model lifecycle management, auditability, transparency, and regulatory alignment.
Driving measurable adoption, value realisation, and change management for AI across the audit practice.

Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices.

Experience and knowledge requirements:

Proven experience defining and delivering product vision, strategy and roadmaps for AI, data or tech-enabled products, from discovery through to deployment, adoption and value realisation. (E)
Strong ability to translate complex business, audit and user needs into clear, prioritised product requirements and practical AI-enabled use cases. (E)
Experience leading cross-functional teams and working effectively with engineers, data scientists, architects, governance leads and business stakeholders to deliver secure, compliant and scalable solutions. (E)
Strong stakeholder management and communication skills, with the ability to influence senior audiences, build alignment, manage competing priorities and respond constructively to feedback. (E)
Commercial and strategic judgement, including the ability to prioritise work based on business value, audit quality, risk, feasibility and measurable outcomes. (E)
Understanding of responsible AI, data governance, model lifecycle management, transparency and risk considerations relevant to AI solutions in a regulated or professional services environment. (E)
Experience working in agile, iterative delivery environments, using user feedback, adoption metrics and value measures to refine products and improve outcomes. (E)
Experience managing, developing or coaching team members, with the ability to create momentum, bring people together and support high-performing delivery teams. (D)
Technical product management experience or skills, including the ability to work closely with engineering squads, understand technical trade-offs, shape delivery plans and support technical delivery of AI use cases. (D)
Experience in audit, assurance, professional services or another regulated environment, with an understanding of audit quality, risk and governance expectations. (D)
Relevant professional, audit, product management or product leadership qualifications. (D)

D = Desired E = Essential

Behavioural Attributes and Skills:

Staying current with technology trends
Ability to build momentum and pivot when required
Ability to balance innovation with regulatory expectations
Proactive leadership
Big‑picture thinking with detail focus
Strong logic‑based decision making
Collaborative mindset.

Qualifications:

Product Management or Product Leadership Qualifications (D)

D = Desirable E = Essential

KPMG overview:

KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues, we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years.

We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working.

With offices across the UK, we work with everyone from small start- ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better.

KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool.

As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process.

We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, experience, and perspective are the KPMG difference.

Why Audit at KPMG?

Audit is the largest of our UK practices. Some of the world’s biggest companies rely on us to provide independent insight, challenge and expertise, so the work we undertake affects investment decisions, inspires confidence in public sector expenditure and supports our economic growth. Today, more than ever in disruptive times, audit is a function needed by society, and in the future, so we can capitalise, and grow. As part of the Audit team, you’ll be helping to build the confidence and trust that business and society need to thrive. We want to lead the conversation when it comes to shaping the future of the profession. And given the scale and variety of our audit engagements in both the UK and globally, we are well placed to create change. If you share our commitment to achieving excellence and working to the highest audit standards, are a natural collaborator who values different perspectives and relishes the opportunity to develop and progress - then KPMG could be the place where you can thrive.

Read about Audit

Apply Now

Refine Your Search

data engineer azure, databricks, ml/ai jobs in birmingham, wmd

Senior Manager, AI Product Management

Senior Information Manager

Senior Data Engineer (on-site) - Active SC

Resiliency & Recovery Manager

Principal Online Engineer

Semantic Governance Managing Consultant - Ontologies and Semantics

Business Analyst

Cloud Operations Manager

1st / 2nd Line IT Support Analyst

Applications Operations Engineer

Senior Software Developer, Team Lead

Senior Online Engineer

Senior Manager, Customer Success Engineering

Front End UI / Full-Stack Software Developer

Quantexa Senior Manager

1037 | Senior Product Manager

Principal Security Consultant - DSS

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