Back to Jobs
Recently postedTemporary/CasualOperations & Project Management

Technical Delivery manager

VIQU IT RecruitmentSouth East London, London🇬🇧United Kingdom

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationSouth East London, London, United Kingdom
SQLPythonAgileAsana

Job description

Technical Delivery Manager
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, 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.

To find out more, get in touch with Macy at

Similar jobs