Head of Integration, Data & GenAI Engineering in Manchester

Head of Integration, Data & GenAI Engineering in Manchester

Manchester Full-Time 90000 - 120000 £ / year (est.) Home office (partial)
Manchester Digital

At a Glance

  • Tasks: Lead integration, data, and GenAI engineering teams to shape AJ Bell's tech strategy.
  • Company: Join AJ Bell, a top investment platform known for its supportive culture.
  • Benefits: Enjoy 28 days holiday, pension contributions, bonuses, and health plans.
  • Other info: Hybrid working, regular social events, and a focus on inclusion and diversity.
  • Why this job: Make a real impact in a fast-growing company while leading innovative tech projects.
  • Qualifications: Strong leadership in engineering, with experience in data and AI technologies.

The predicted salary is between 90000 - 120000 £ per year.

Head of Integration, Data & Gen AI Engineering

We’re looking for a Head of Integration, Data & Gen AI Engineering to lead a critical engineering capability within Technology Services at AJ Bell.

This role brings together leadership across three important parts of our technology landscape: integration engineering, data engineering and Generative AI engineering.

Reporting to the Director of IT Strategy & Architecture, you will lead through three senior technical leaders: Senior Engineering Manager (EA), Senior Data Engineering Manager, and Software Engineering Team Lead (Gen AI).

You will help shape the platforms, capabilities and engineering practices that support AJ Bell’s long-term strategy.

This is a senior leadership role for someone who combines strategic thinking with strong technical credibility and a clear delivery focus.

You will be responsible for building high-performing teams, setting clear direction, and ensuring AJ Bell has secure, scalable and well-governed engineering foundations across integration, data and AI.

What does the role involve?

  • Leading and developing AJ Bell’s engineering capability across enterprise integration, data engineering and Gen AI, with overall responsibility for three direct reports and their teams.
  • Setting the strategic direction for integration, data and Gen AI engineering in line with AJ Bell’s technology strategy, business priorities and regulatory obligations.
  • Providing strong leadership to senior managers and technical leads, creating clarity of purpose, clear accountability and a collaborative, high-performing culture, while supporting recruitment, succession planning, capability development and retention across the teams.
  • Leading the development of event-driven and data streaming solutions, with a strong focus on integration architecture, API and messaging patterns, reusable engineering standards and modern delivery practices.
  • Overseeing the development and operation of AJ Bell’s data engineering capabilities, including data ingestion, transformation, provisioning, governance, security, privacy and access to trusted data.
  • Driving the design and adoption of Gen AI engineering capabilities, including development of a core platform and integration of Gen AI solutions into products, services and internal processes where they create clear business value, with appropriate guardrails around security, risk and responsible use.
  • Ensuring engineering solutions are secure, scalable, resilient and supportable, with appropriate governance, standards, observability and controls built in from the outset.
  • Working closely with product-aligned engineering teams, infrastructure, information security, architecture and business stakeholders to deliver joined-up solutions, support data-driven decision-making and create long-term value.
  • What skills and experience you’ll bring
  • Strong leadership experience in senior engineering roles, with a track record of leading technical teams across multiple specialist disciplines.
  • Broad technical credibility across software engineering, integration architecture, event-driven systems, data engineering and modern platform architecture.
  • Experience leading engineering teams responsible for APIs, backend services, event-driven integration, data platforms and AI-enabled products and services within a complex enterprise environment.
  • Strong understanding of modern data engineering practices, including data pipelines, ETL/ELT, data modelling, data governance, security, privacy and access management.
  • Experience working with data platforms and technologies such as Snowflake, SQL-based data environments and a range of operational data sources.
  • Good understanding of Generative AI and LLM-related engineering patterns, with the ability to lead teams in applying these capabilities pragmatically, securely and responsibly in an enterprise setting.
  • Strong strategic thinking and planning skills, with the ability to translate business goals into clear engineering roadmaps and delivery priorities.
  • A strong delivery mindset, with experience balancing long-term platform improvement with short-term business outcomes.
  • Excellent stakeholder management and communication skills, including the ability to work effectively with senior leadership, technical teams and non-technical stakeholders, and to translate complex technical concepts into clear business direction.
  • Strong people leadership skills, including coaching senior leaders, developing talent, managing performance and building engaged, high-performing teams.
  • A collaborative, pragmatic and outcome-focused approach, with the confidence to challenge, influence and lead through change in a regulated environment with a strong focus on customer outcomes.
  • Experience of working in a regulated environment, ideally within financial services, with a clear understanding of risk, control and customer outcomes.
  • About AJ Bell

At AJ Bell, we believe investing should feel good.

Whether you're looking for an ISA, pension or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life.

We're one of the UK's fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors.

Today, over 723,000 customers trust us to manage more than £108.7 billion of assets.

By continually striving to make investing simpler and more accessible, we're helping more people take control of their financial futures.

We're proud to be recognised as one of the UK's Best 100 Companies to Work For for six consecutive years, and a Great Place to Work® in 2025 and 2026, a reflection of our supportive and collaborative culture.

What we offer

  • 28days holiday, increasing with service + buy/sell scheme + bank holidays
  • 8% Pension with matched contributions
  • Discretionary bonus scheme
  • Share schemes (including free shares and BAYE)
  • Health Cash Plan and discounted private healthcare
  • Free onsite gym
  • Enhanced family leave (subject to qualifying criteria)
  • Travel and bike loan schemes
  • Employee Assistance Programme
  • Life at AJ Bell
  • Regular social events including summer and Christmas parties
  • Learning and development opportunities tailored to you
  • Casual dress code
  • Friendly, supportive team environment
  • Our ways of working

We offer hybrid working, with a minimum of 60% of your working time per month spent in the office.

For new starters, there’s an initial period of full-time office working to help you settle in and build relationships.

Inclusion & diversity

We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work.

We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential.

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Head of Integration, Data & GenAI Engineering in Manchester employer: Manchester Digital

At Manchester Digital, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. As a Chief Software Engineering Leader, you will not only lead a talented team but also enjoy flexible working arrangements, competitive pension contributions, and generous annual leave that grows with your tenure, making it an ideal environment for personal and professional growth.

Manchester Digital

Contact Details:

Manchester Digital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Integration, Data & GenAI Engineering in Manchester

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Contribute to Open Source Projects

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We think you need these skills to ace Head of Integration, Data & GenAI Engineering in Manchester

Leadership Experience
Technical Credibility
Integration Architecture
Event-Driven Systems
Data Engineering
API Development
Data Governance

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Manchester Digital.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Manchester Digital and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Manchester Digital

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Manchester Digital uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.