Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analytics Manager – Kings Cross London

Jas Gujral
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - IFRS / Credit Risk Modelling

Data Science Manager

Data Scientist Senior Consultant

Data Science Consultant - Health

Senior Data Scientist

Senior Data Scientist (Economist)

Data Analytics Senior Manager – Kings Cross London

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

The Data Analytics 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 Data Analytics 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.

Managerial Responsibilities:

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

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.