VP Engineering in Birmingham

VP Engineering in Birmingham

Birmingham Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Nettitude Group

At a Glance

  • Tasks: Lead software engineering transformation and drive AI adoption for innovative solutions.
  • Company: Join LRQA, a global leader in assurance and risk management.
  • Benefits: Enjoy competitive salary, remote work options, and career development opportunities.
  • Other info: Dynamic role with significant influence at executive level and opportunities for growth.
  • Why this job: Make a real impact by shaping the future of engineering with cutting-edge technology.
  • Qualifications: Proven leadership in software engineering and experience with AI integration.

The predicted salary is between 80000 - 100000 £ per year.

Location: Birmingham : 1 Trinity Park

About LRQA

LRQA is a leading global assurance partner. We help clients manage risk and build safer, more secure and more sustainable businesses through certification, inspection, cybersecurity and advisory services. Digital Transformation is modernising the technology, products and platforms that underpin these services, and engineering is central to that effort.

Key responsibilities

  • Driving the software engineering step-change
  • Lead the adoption of AI in engineering: set the direction for AI-assisted development and embed it in how the teams design, build and test.
  • Put in place the foundations that make it work at scale: the engineering standards, golden paths, repository structure, documentation‑as‑code and reusable scaffolding that let both engineers and AI tooling move quickly and safely.
  • Drive automation across the software lifecycle, from build and test to release, so delivery is faster, more consistent and less manual.
  • Set the engineering practices that support faster, more reliable software flow (Continuous Delivery, CI/CD, automated testing and release readiness) as the standard the teams build to, working with Infrastructure/DevOps and others.
  • Define the engineering performance and productivity framework and the target ambition (DORA, cycle time, time to release), and drive sustained improvement working through the Head of Development and the other leaders.
  • Set the software engineering strategy and multi‑year technical roadmap, aligned to the digital and business strategy.
  • Set the software engineering standards, tooling and technology‑stack direction the function builds to.
  • Act as the escalation and decision point for the most significant technical and design choices across the estate.
  • Lead, develop and set direction for the Head of Development, the Cyber Development Lead and the Enterprise Architect.
  • Provide technical advice and assurance on major investment, build‑versus‑buy and platform decisions, and make engineering’s direction, value and constraints understood at leadership level.

Key outcomes

  • A genuine step‑change in engineering productivity and time to release, measured through DORA and cycle‑time metrics and visibly improving.
  • AI‑assisted engineering adopted across the teams, on sound foundations (standards, golden paths, scaffolding) that make it work at scale.
  • Automation embedded across the software lifecycle, reducing manual effort and variability.
  • A clear engineering strategy, technical roadmap and architecture direction, in use across the function.
  • Engineering standards, tooling and stack direction set and applied consistently across the estate.
  • An engineering operating model and team structure that scales with the business.

Experience and capability

  • Software Engineering leadership at scale: led engineering functions and driven a step‑change in how they build, not only run delivery.
  • AI‑assisted engineering: real experience introducing AI and automation into how software is engineered, with the foundations to make it stick.
  • Modern engineering and productivity: deep grounding in Continuous Delivery, DevOps and cloud, and in engineering productivity measurement (DORA, cycle time or equivalent).
  • Architecture direction: a strong architecture background, setting direction and running a Technical Design Authority or similar forum across a complex, integrated estate.
  • Standards and foundations: a track record of establishing engineering standards, golden paths and reusable foundations that lift a whole function.
  • Strategy to execution: setting strategy and standards and landing them through other leaders and their teams, including re‑platforming and culture change.
  • Organisation design: experience of engineering organisation design, operating models and developing leaders.
  • Influence: credibility and influence at executive level, and effective management of vendors and partners.

Leadership profile

  • Operates at a strategic level, setting direction and raising the capability of the whole function.
  • Focused on outcomes, with clear ownership of engineering direction and value.
  • A decisive technical leader, comfortable making decisions without complete information.
  • Builds and develops strong technical‑leadership teams.
  • Able to simplify complex problems and align different stakeholders.
  • Credible across strategy, architecture and at executive level.

Pre-Employment Checks

If you are successful in securing a role with us, we will carry out pre-employment checks in accordance with what is permitted under local law. These checks may include, where legally allowed: right to work, identification, verification of employment history, education, and criminal record checks.

Any personal information collected for the purpose of these checks will be used solely for evaluating your suitability for employment and will be retained only for as long as necessary to fulfil these purposes and meet legal requirements. Your data will be stored securely and managed in accordance with all relevant privacy legislation.

Nettitude Group

Contact Details:

Nettitude Group Recruitment Team

We think you need these skills to ace VP Engineering in Birmingham

Software Engineering Leadership
AI-Assisted Engineering
Automation in Software Lifecycle
Continuous Delivery
DevOps
Engineering Productivity Measurement (DORA, Cycle Time)
Architecture Direction