Head of Insight and Evaluation

Lincoln
3 days ago
Create job alert

Do you see patterns others miss? Can you turn data into stories that shape strategy and inspire action? If you're a strategic thinker who thrives on analysis, design, and learning, we’d love to hear from you.

Our client is seeking a Head of Insight and Evaluation. In this role, you’ll champion evidence-informed decision-making, bring fresh perspectives through lateral thinking, and help shape their future through meaningful insights.

We are working in partnership with a 3rd sector organisation within the Physical Activity sector to recruit a Head of Insight and Evaluation. This is initially a 1-year FTC with the possibility of going permanent.

About you:

You will bring proven experience in insights, evaluation, learning, or strategy roles, with strong analytical skills and the ability to think both critically and laterally. You’re a creative problem solver who can design tools, processes, and systems that generate meaningful insights. Your storytelling abilities—whether written, visual, or verbal—bring data to life and resonate with diverse audiences. You have strong leadership and facilitation skills, taking a collaborative and adaptive approach to your work. You are passionate about driving learning and impact, especially in complex or mission-driven environments.

About the Head of Insight and Evaluation role:

  • Design and embed robust systems for collecting and interpreting qualitative and quantitative data

  • Connect with Sport England monitoring, learning, and evaluation frameworks and ways of working and embed them locally

  • Capture, collate, and effectively share data from communities, stakeholders, national datasets, and partners

  • Analyse current patterns, trends, and emotional/systemic measures to inform decisions

  • Ensure alignment with governance and programme requirements

  • Upskill the team on insight and learning approaches

  • Foster a learning culture, translating data into usable knowledge and change theories

  • Share learning effectively with a variety of audiences to influence change

  • Interpret and present complex health and demographic data clearly and accessibly

  • Develop engaging case studies and success stories to complement quantitative data

  • Integrate learning, monitoring, and evaluation into project and programme cycles

  • Identify opportunities for shared learning and resource use across partners and programmes

  • Demonstrate confidence using various data tools and digital platforms

  • Inspire and enable others to share and act on learning across our systems

    Rewards package:

  • 25 days annual leave + bank holidays + 3 days at Christmas

  • Celebration Day (personal choice)

  • Westfield Health private healthcare

  • Flexible working policy

  • Team away days

  • Training and development opportunities

  • Employer pension contributions

  • Staff wellbeing policy

  • £39,000 to £45,000 (dependent on experience)

    If this sounds like the role for you, apply now!

    Appoint Consulting is a Recruitment Business having sought agreement from their clients to find candidates for these roles, in accordance with the Employment Agencies and Employment Business Regulations Act 2003.

    In accordance with the Employment Agencies Act 1973, Appoint Consulting will not charge any individual seeking employment through their services.

    If this role is not suitable for you, we would be happy to have an informal discussion regarding any future opportunities.

    While we will endeavour to respond to every applicant personally, on occasion this is not always possible, therefore, if you have not heard back from us within 14 days of applying, you have been unsuccessful

Related Jobs

View all jobs

Head of Learning and Development

Head of Learning and Development

Lead Data Scientist

Data Scientist

Head of Insight & Business Intelligence

Assistant Group Head of IT

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.