National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analytics Senior Manager – Kings Cross London

Jas Gujral
London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Science Consultant - Health

Senior Data Engineers

Head Of Enterprise Data Engineering - Fcdo - G6 (Milton Keynes)

Head Of Enterprise Data Engineering - Fcdo - G6 (London)

Head Of Enterprise Data Engineering - Fcdo - G6 (East Midlands)

Head Of Enterprise Data Engineering - Fcdo - G6 (East Midlands)

Data Analytics Senior Manager – Kings Cross London

The Data Analytics team provides information that is accurate, consistent, timely, and reliable, ensuring the information is easily available to users for direct consumption or integration with other systems.

The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration.

Key Responsibilities:

  • Champion enterprise-wide culture of fact-based decisions, data quality, and accountability.
  • Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities, and resource allocations.
  • Review and recommend approval for information-related policies, procedures, and standards.
  • Direct, organize, and lead DA workstream projects.
  • Work on highly complex, cross-functional, and enterprise solutions.
  • Establish processes, roles, and quality criteria for workstream planning process including inception, technical design, development, testing, and delivery of DA solutions.
  • Review and approve work plans, timelines, deliverables, and resource commitments.
  • Review and approve data architecture, data models, and specifications.
  • Establish and publish performance metrics and plans for DA service demand and service levels.
  • Prepare and manage annual capital and operating budgets for DA assets, personnel, and services.
  • Recruit, hire, develop, and motivate the DA team members.
  • Review and approve functional requirements and business cases for DA improvements.
  • Advise executives on how DA (processes, practices, and technologies) play a critical role in improving business management and optimization.
  • Align DA technologies with CSI strategic initiatives.
  • Approve selection of tools, frameworks, and mechanisms for data analytics.

Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas:

  • Data governance
  • Data preparation (sourcing, acquisition, integration)
  • Data warehousing
  • Reporting, analytics, data exploration
  • Information delivery (portals, mobile)

Qualifications:

  • A university degree in computer science, economics, operations, management, or a related field is required.
  • A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated.
  • Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing, and post-sales service.
  • Medical device or pharmaceutical industry experience is preferred.
  • Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.).
  • Experience with agile software development.
  • A solid understanding of key trends including machine learning and artificial intelligence.

General Business Skills:

  • Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal, and presentation skills.
  • Experience managing global, complex projects and teams.
  • Ability to complete projects and achieve results in an ambiguous work environment.
  • Ability to take initiative and be innovative.
  • Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results.
  • Ability to build and motivate a team to achieve well communicated expectations.
  • Strong leadership and consensus building abilities across global cultures and all levels of management.

The salary for this role is expected to be in the range £70K - £85K.

Location is Kings Cross London.

Please send your CV to us in Word format along with your salary and availability.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.