Senior Consultant - Data Quality, Integration & Governance

IO Associates
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Consultant Data Analyst

Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh

Senior Consultant - Data Analyst

Senior Consultant - Data Scientist

Senior Consultant - Data Analyst

Consultant/Senior Consultant - Data Governance

Senior Data Consultant / Manager - Help Universities Unlock the Power of Their Data

Remote-first (UK) | Meaningful Work | High-Growth Consultancy | Competitive Salary + Bonus
Are you driven by the idea of using data to make a real difference?

Do you want to step into a role where your work directly improves how thousands of students experience university life?
We're looking for a

data-minded consultant or manager

who wants more than just another transformation role. This is a chance to join a people-first consultancy that's reshaping how universities use technology and data to operate, innovate and support their staff and students.
If you enjoy blending

strategy, problem-solving and hands-on delivery -and you want to do work that actually matters-this could be the perfect next step.

?? Why This Role Is Special

You'll make an impact that's immediately visible.

Universities are undergoing major digital change, and data sits at the centre of every decision they make. Your work will help them improve student experience, streamline processes and unlock insights they've never had access to before.

You won't be boxed into one area.

This isn't a role where you're stuck writing requirements forever. You'll influence

data strategy, governance, quality, integration, and real delivery outcomes -with the freedom to shape your projects and bring your ideas to the table.

You'll work with senior leaders who want your expertise.

You'll be trusted to advise Heads of Departments and Directors on how to improve their data landscape. Your voice will be heard, valued, and acted upon.

You'll join a consultancy that actually treats people like adults.

Remote-first. Low ego. High autonomy. You'll be part of a team that collaborates, supports and genuinely wants you to succeed.

?? What You'll Be Getting Involved In

Every project is different, but you might find yourself:
Helping a university design and implement its

data strategy

for the next decade.

Using frameworks like

DMBOK

to guide organisations toward better governance.

Untangling messy data flows so teams can finally trust their information.

Improving

data quality, master data, metadata

and integration approaches.

Facilitating workshops that turn confusion into clarity.

Delivering real change-not just writing reports-by getting hands-on where needed.

Leading or supporting teams, depending on your seniority.

If you enjoy understanding problems, shaping solutions and seeing them land in the real world, you'll feel at home here.

?? Who Will Thrive Here

You don't have to be a deep technical specialist-far from it.

You just need to genuinely

get

data.
You'll be great in this role if you:
Have a background in consulting, digital transformation or data-focused change.

Understand the principles of data governance, quality and integration.

Feel confident engaging with senior stakeholders.

Can balance strategic thinking with rolling up your sleeves.

Want to grow, lead and shape the future of a high-performing consulting practice.

Bonus: experience in the Higher Education sector-but it's not a dealbreaker.

?? What's In It For You

A competitive salary + bonus

Real progression, with a clear pathway into more senior roles

A say in shaping delivery methods, data capability and internal frameworks

A supportive, ambitious team where your ideas matter

Work that has genuine social value-positively impacting staff and students nationwide

?? Interested? Let's Talk.

If you're excited by the idea of helping universities unlock the true value of their data-and want a role that blends influence, delivery and real-world impact-we'd love to hear from you.

TPBN1_UKTJ

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 a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.