At a Glance
- Tasks: Lead delivery of AI-driven projects using first-party customer data for major brands.
- Company: Fast-growing AI SaaS company transforming customer data into actionable insights.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a collaborative team where your decisions shape project outcomes.
- Why this job: Make a real impact in a scaling business at the forefront of AI technology.
- Qualifications: Experience in delivering data-driven solutions and strong technical background required.
The predicted salary is between 72000 - 88000 £ per year.
Morela is proud to be supporting a fast-growing AI SaaS business in the search for a Delivery Manager. This is a permanent role based at their London office. First-party customer data is at the heart of this role. If you have delivered platforms and projects built on transactional, behavioural and CRM data for big consumer brands, started out hands-on in a technical seat, and now want to own outcomes rather than just track them, this is for you.
About the Client
Our client is an AI-powered SaaS company that helps businesses get far more out of their first-party customer data, turning it into intelligence that drives customer revenue growth, sharper decisions and a real competitive edge. They focus on the UK's major consumer sectors: financial services, retail, travel, telecoms and healthcare, and have built their expertise working with some of the country's best-known banks, retailers, broadcasters and airlines. Everything they do starts with a client's own first-party customer data. Getting that data in, joined up and working on the platform is what turns millions of customer records into decisions that grow revenue. They serve clients across four countries, with two live products and two new AI solutions in development. The business is scaling quickly and pushing AI-driven decision intelligence forward, which makes this a great moment to join.
The Role
First-party customer data runs through everything you will deliver. Every implementation, feature and client project depends on getting a client's transactional, behavioural and CRM data onboarded, integrated, tested and working on the platform, so a strong understanding of customer data and how it flows is the most important thing you will bring. You will own delivery across all four areas of the business:
- Platform Implementation: bringing new clients onto the platform, from onboarding and integration through to testing, sign-off and handover.
- Platform Operations: coordinating changes, fixes and service improvements so existing client commitments are protected.
- Platform Development: delivering new features, analytical capabilities and enhancements against agreed product goals.
- Ad Hoc Projects: running client requests, pilots and bespoke work with clear outputs and acceptance criteria.
This is not a coordination or reporting job. You will take work from requirements through development, QA, client acceptance and handover, and make sure it does what it was meant to. Your technical background gives you the credibility to work across engineering, data, product and client teams and challenge where it matters. Product direction, technical correctness and commercial decisions stay with their accountable owners. Your job is to own execution and make sure the agreed outcomes are delivered and validated.
Responsibilities
- Own delivery across your projects and workstreams, from plan through to an accepted, working result.
- Own how each client's first-party customer data moves through delivery, from ingestion and integration to the insight delivered back to the client.
- Turn business and product goals into clear plans with owners, milestones, dependencies and acceptance criteria.
- Build realistic plans covering scope, estimates, resourcing, quality gates and release dates.
- Run the delivery rhythm, including stand-ups, planning, refinement and reviews, making sure each one ends in decisions and actions.
- Bring together data engineering, data science, application development, QA and client teams to get work over the line.
- Spot blockers, dependencies and risks early, and put recovery plans in place when things slip.
- Make sure peer reviews, reconciliation, testing, documentation and approvals are done and evidenced.
- Keep delivery tracking in Asana accurate and plan deployment, acceptance and handover alongside development.
- Push back on incomplete work, unrealistic estimates and unsupported claims of readiness.
- Work with product, engagement and technical leads so requirements, expected outcomes and acceptance criteria are clear to everyone.
- Lead client delivery meetings, coordinate UAT and sign-off, and escalate changes to scope or dates through the agreed process.
- Make sure what is delivered meets its functional and operational purpose, agreeing how outcomes will be validated or measured.
- Set clear accountability across teams and fix the delivery problems that keep coming back.
- Flag capacity issues early and recommend practical options on sequencing, resourcing or recovery.
- Track effort, utilisation, burn rate and delivery costs, and give leadership reliable delivery and financial information.
Essential Requirements
- Strong experience delivering solutions built on first-party customer data, such as transactional, behavioural, loyalty or CRM data, at scale.
- A hands-on technical background in software engineering, data engineering, analytics, QA or technical implementation before moving into delivery.
- A proven track record delivering SaaS, software or data platforms end to end, through development, testing, release and client acceptance.
- Real ownership of delivery outcomes, with the confidence to clear blockers and question technical assumptions.
- A strong grasp of Agile and DevOps practices, quality assurance and operational handover.
- Experience coordinating multidisciplinary teams across several client projects.
- Strong client management, delivery planning, resource forecasting and project financial management.
Desirable Experience
- Delivering AI, analytics or data-driven platforms.
- Customer data from retail, financial services, travel, telecoms or other consumer brands.
- Familiarity with cloud technologies, SQL, Python, APIs or BI tools.
- A background in B2B SaaS, enterprise implementations or technology consulting.
- Asana or a similar delivery tool.
Working Environment
You will be joining a business that is scaling fast, working closely with engineering, data science, product and client teams, where your decisions have a direct impact on what gets delivered. Practical technical experience, sound judgement and a record of delivering outcomes matter more here than formal certifications.
Technical Delivery manager employer: VIQU IT Recruitment
At VIQU, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Information Security Analyst in Southampton, you'll benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth within a leading offshore law firm focused on secure technology adoption. Join us to make a meaningful impact in the realm of AI and information security while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Delivery manager
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Technical Delivery manager
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 VIQU IT Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at VIQU IT Recruitment 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 VIQU IT Recruitment
✨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 VIQU IT Recruitment 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.