Technical Delivery Manager in London

First-Party Customer Data | AI SaaS Platform | London

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. Their platform turns complex data into intelligence their clients can act on, driving customer revenue growth, sharper decision-making and a real edge over competitors.

They focus on the UK's major consumer service sectors: financial services, retail, travel, telecoms and healthcare. Their expertise has been built working with some of the country's best-known banks, retailers, broadcasters and airlines, solving real commercial problems with a high degree of precision.

Everything they do starts with a client's own first-party customer data. Getting that data in, joined up and working hard on the platform is what turns millions of customer records into decisions that grow revenue.

They already serve clients across four countries, with two live products in the market and two new AI solutions in development. With that pipeline behind them, 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.

As Delivery Manager you will own delivery across all four areas of the business:

• Platform Implementation. Bringing new clients onto the SaaS platform, from onboarding and integration through to testing, sign-off and handover into live operations.
• Platform Operations. Coordinating changes, fixes, maintenance and service improvements so existing client commitments are always protected.
• Platform Development. Delivering new features, analytical capabilities and platform enhancements against agreed product goals.
• Ad Hoc Projects. Running client requests, pilots and bespoke pieces of work, each with clear outputs, acceptance criteria and intended outcomes.

This is not a coordination or reporting job. You will take work from requirements all the way through development, QA, client acceptance and handover, and make sure what gets delivered actually does what it was meant to. Your own technical background will be a big part of how you do that, giving 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 allocated 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 through to the insight delivered back to the client.
• Turn business and product goals into clear delivery plans with owners, milestones, dependencies and acceptance criteria.
• Drive execution across multidisciplinary teams, clearing obstacles and holding everyone to their commitments.

Running the work

• Build and maintain realistic plans covering scope, estimates, resourcing, dependencies, 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, technical 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, covering owners, progress, risks, forecasts and commitments.
• Plan deployment, client acceptance and operational handover alongside development, not after it.
• Push back on incomplete work, unrealistic estimates and claims of progress or readiness that are not backed up.

Clients and stakeholders

• Lead regular client delivery meetings and progress updates, and follow through on actions and dependencies.
• Work with product, engagement and technical leads so requirements, expected outcomes and acceptance criteria are clear to everyone.
• Coordinate client inputs, UAT, approvals and formal sign-off.
• Communicate progress, risks and decisions clearly, and escalat...
• Make sure what is delivered meets its functional and operational purpose, agreeing how outcomes will be validated or measured.

Team and continuous improvement

• Set clear accountability across teams, with named owners, reviewers and acceptance requirements.
• Use your technical experience to test assumptions, understand engineering risk and support good delivery decisions.
• Build a culture of ownership, collaboration, quality and follow-through.
• Find the delivery problems that keep coming back and fix them, cutting delays, rework and wasted effort.

Resources and finances

• Work with technical leads on realistic estimates, resourcing needs and delivery forecasts.
• Balance competing priorities and shared resources across multiple client projects.
• Track actual effort, rework, utilisation, burn rate and delivery costs.
• Flag capacity issues early and recommend practical options on sequencing, resourcing or recovery.
• Give leadership reliable delivery and financial information to support decisions and keep delivery commercially sustainable.
• 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 management.
• 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, question technical assumptions and drive work to completion.
• A strong grasp of Agile and DevOps practices, technical dependencies, quality assurance and operational handover.
• Experience coordinating multidisciplinary teams across several client projects and shared technical resources.
• Strong client management, delivery planning, resource forecasting and project financial management.
• 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.

You will be joining a business that is scaling fast, with new AI products on the way and a growing client base across several countries. You will work closely with engineering, data science, product and client teams, and your decisions will have a direct impact on what gets delivered and how well it lands.

The client cares more about practical technical experience, sound judgement and a proven record of delivering outcomes than formal certifications.