Lead Artificial Intelligence Products Manager

London Borough of Newham
London
4 days ago
Create job alert

Lead Artificial Intelligence Products Manager

£60,702-£73,698 (SMR-A) 


Newham Dockside, London


Please attach your CV and a supporting statement, explaining in no more than x2 A4 sides why and how you meet the criteria for this role.


About Us 


Newham is a place that is full of potential and brimming with energy and talent. Proud to be one of the youngest and most diverse boroughs anywhere in the UK, 72% of our residents are from ethnically diverse communities, speaking over 220 languages and our population of 351,000 is growing at a rate of 14%, the third highest rate of growth in London. 


In recent years we have seen unparalleled levels of investment, growth, and interest in our Borough, but for all our successes, Covid-19 laid bare the endemic inequality that exists in our borough and how now, the Cost of Living crisis is exacerbating that. That’s why we are working towards Building a Fairer Newham, focused on economic security, health, equality and the environment.


About the Role 


Newham offers a unique and exciting opportunity to build your career, and as Lead Artificial Intelligence Products Manager within the Digital, Data and Service Design service, you will play a pivotal role in driving the development, evaluation and responsible management of AI-powered tools throughout the organisation. 


You will take ownership of the strategy and roadmap for AI products, leading the technical assessment of off-the-shelf AI solutions to determine their suitability for specific service areas, and overseeing their integration into existing systems and workflows. Your remit includes implementing and managing AI applications to ensure alignment with our service goals, user needs and technical standards, as well as leading on AI-related data governance to guarantee compliance with ethical, legal and organisational standards. 


You will deliver our AI strategy underpinned by robust policies, governance frameworks and best practice guidance, ensuring safe, effective and transparent deployment of AI across the organisation. 


Additionally, you will promote AI literacy and responsible innovation by guiding, training and sharing best practices within teams, while forging strong relationships with senior managers to support the delivery of AI products relevant to our services.


About You 


You possess a strong understanding of the product management profession and skills, coupled with substantial experience in product thinking and the product development lifecycle. Your knowledge extends to AI and machine learning technologies, with practical expertise in deploying and managing solutions within cloud environments, and a sound grasp of core AI frameworks such as Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Prompt Engineering, and AI Builder. 


You are well-versed in data protection legislation and regulatory frameworks, particularly as they pertain to sensitive and personally protected information, and you understand the unique challenges of service delivery, data requirements, and stakeholder engagement within local government or similar public sector contexts.


You are adept at evaluating and selecting suitable AI technologies for specific use cases, including Microsoft products such as Azure OpenAI, Azure AI Builder, Copilot Studio, and Teams Premium. Your skill set includes accurately identifying business requirements, managing products and services to deliver ongoing insight and value for staff and residents, and translating stakeholder needs into clear technical requirements for development teams. 


You have strong negotiation and communication skills, enabling you to influence Council decisions and processes, and effectively engage directors and senior managers to meet evolving performance reporting needs. With a proven track record in leadership and management, particularly within governance and AI-focused settings, you have successfully mentored teams and collaborated with Digital, Data and Technology teams, senior managers, and external partners. 


Your experience encompasses the full lifecycle of AI solutions, from conception and deployment to implementation and support, as well as designing and overseeing AI governance frameworks to ensure compliance with regulatory standards. 


You are also experienced in building positive stakeholder relationships and are adept at negotiating and influencing on complex or sensitive matters, defining product strategies, developing roadmaps, and coaching others in product management.


Benefits 

Flexible working arrangements including offices in Dockside and working from home.  Generous pension allowance (with employer contributions of up to 8%)  Access to Newham Rewards employee benefits scheme  Employee Assistance Programme  Eye test and Flu vouchers 

If you have any questions, please contact Arsalan Engineer, Head of Data and AI


IMPORTANT: If you are an LBN member of staff and applying for this role as a secondment you should note that secondments are subject to the agreement of your current employing service. Please ensure that you inform your line manager of your intention to apply for the post in the first instance. 


Please view JD


closing date: 27th January 2026


Additional Information


We are committed to creating an inclusive, anti-racist environment for all. When you apply for a job at Newham, your application is considered on its merits regardless of your age, disability, ethnicity, faith, gender identity or sexual orientation. If you share our vision and values, and you bring the experience and skills we need, that’s all that matters to us.


The London Borough of Newham has important responsibilities for safeguarding and promoting the welfare of children, young people and vulnerable adults. If you are appointed to a job that involves working with these groups, you may be subject to a Disclosure and Barring Service (DBS) check.


Please attach your supporting statement, explaining in no more than x2 A4 sides why and how you meet the criteria for this role.


We practice anonymised recruitment. Please ensure that you remove all personal information from any documents that you upload.

The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by .

Related Jobs

View all jobs

Informatics Data Science Manager

Informatics Data Science Manager

Senior Machine Learning Engineer, NLP

Benefit Risk Management Center of Excellence Data Scientist

Benefit Risk Management Center of Excellence Data Scientist

Data Scientist II - QuantumBlack Labs

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.