Data & Analytics Manager (Development)

Arthur
Ec2N4Ay, EC2N 4AY, United Kingdom
Last month
£90,000 pa
Applications closed

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Salary

£90,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
28 Apr 2026 (Last month)

Benefits

Benefits Bonus
Data & Analytics Manager
Location: London (Hybrid, 3 days onsite)
Salary: £90,000 + benefits + bonus

The Opportunity
A large, complex organisation operating in a highly regulated environment is seeking a senior-level data and analytics professional to play a pivotal role in the evolution of its enterprise data capability.
This isnot a traditional people-management or hands-on engineering role. Instead, you’ll act as atechnical authority and trusted partner to the business, ensuring data solutions are well-designed, robust, and genuinely support decision-making at scale.

Why This Role Stands Out
  • A senior, influence-led role withno direct line management
  • High exposure to leadership across technology and business functions
  • Ownership of delivery quality across partners, vendors, and internal teams
  • Balance of technical credibility and business-facing engagement
  • Opportunity to shape and mature a modern, cloud-based data ecosystem
  • Meaningful involvement in ongoing data and analytics transformation
What You’ll Be Doing
  • Act as atechnical design authority across enterprise data and analytics solutions
  • Oversee and challenge delivery from external partners and consultancies
  • Translate business requirements into well-structured analytical and reporting solutions
  • Ensure strong design principles across:
    • Data models and analytical layers
    • Data pipelines and transformation processes
    • Reporting and insight delivery
  • Promote best practices in data architecture, governance, and development standards
  • Bridge the gap between technical teams and senior business stakeholders
  • Support and evolve cloud-native data platforms and warehouse / lakehouse approaches
  • Contribute to strategic initiatives focused on improving data-driven decision-making
Team & Environment
  • Reporting into a senior data leader
  • Lean internal data function supported by external delivery partners
  • Collaborative, outcome-focused culture
  • Environment where technical judgement and stakeholder influence matter more than hierarchy
What They’re Looking ForCore Experience
  • Strong background in modern, cloud-based data and analytics environments
  • Experience designing or overseeing enterprise data platforms and analytical solutions
  • Good understanding of contemporary data architectures (e.g. warehouse, lakehouse, layered models)
  • Comfortable working alongside and challenging third-party delivery teams
  • Proven ability to operate as a senior technical voice without direct management responsibility
  • Confident communicator, able to engage credibly with both technical teams and senior business stakeholders
Profile Fit
  • A technically credible data professional who enjoys being close to delivery
  • Comfortable balancing governance, design, and pragmatic execution
  • Able to influence outcomes through expertise rather than authority
  • Thrives in complex, highly visible environments
Nice to Have
  • Exposure to regulated or data-intensive industries (e.g. financial services, insurance, telecoms)
  • Experience supporting enterprise-scale reporting and analytics platforms

If you have the above and arre lookingfor a new role where you can operate at the intersection oftechnology, analytics, and business change, with strong visibility across senior stakeholders then PLEASE APPLY NOW FOR IMMEDIATE CONSIDERATION!!!

Industry Insights

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

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.