Technical Project Manager

London
1 month ago
Applications closed

Related Jobs

View all jobs

Media Production Technology Project Manager

Senior Data Engineer

Senior Data Engineer (London Area)

Technology Project Manager

Senior Project Manager 450pd outside ir35

Project Manager

Technical Project Manager – Data Projects
Remote (UK-based)
Outside IR35 Contract
3–6 Months Initially (Likely Extensions)
£550–£600 per day
Start – 5th May 2025

A Technical Project Manager is needed to lead the delivery of business-critical data programmes for one of the largest manufacturers in Britain.

From Data Platforming and Master Data Management to Analytics, Data Migration, and Data Strategy – this is a role that requires both technical understanding and polished stakeholder management.

Key responsibilities include:

  • Act as the key point of contact between technical teams and business stakeholders

  • Manage relationships with senior stakeholders, building trust and ensuring alignment on priorities

  • Translate complex data topics into clear, business-relevant language

  • rack and report on project progress, risks, and KPIs

  • Chair project steering meetings and provide project updates to execs or sponsors

  • Ensure documentation and compliance with governance standards
    Apply Agile principles (e.g., Scrum or Kanban), where appropriate

  • Facilitate sprint planning, stand-ups, retrospectives and demos

  • Manage product backlogs and prioritisation with Product Owners or Business SMEs

  • Proactively identify risks, dependencies, and issues

  • Implement mitigation plans and escalate when necessary

    Key experience required:

  • BPSS Eligibility - You must be a UK national or have the legal right to work in the UK / Resident in the UK for the last 3 years minimum.

  • Proven track record managing and delivering data projects end-to-end

  • Strong understanding of data technologies and architectures including:

  • Cloud platforms (Azure, AWS)

  • Lakehouse architecture (Databricks, Snowflake)

  • Experience working with Agile methodologies

  • Excellent communication and stakeholder management skills

  • Calm, composed, and trusted presence – able to bring structure and clarity to ambiguity

  • Appreciation for data value and data strategy

    We're ideally looking for someone who can bring balance and authority to the role – a clear communicator, calm under pressure, and able to influence at all levels.

    To be considered, please click apply

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.