Data Strategy Coach

iO Sphere
Bristol
1 day ago
Create job alert

Data Strategy Coach


iO-Sphere | London or Remote (UK) | Full-time or Part-time


You've spent years making data work for businesses — building data products, improving data quality, standing up governance frameworks, or leading data management initiatives. You know what good looks like because you've built it.


Now you're wondering if there's a way to do something different with that expertise. Something with more variety, more direct impact on people's careers, and less of the same corporate patterns on repeat.


What if you could help ambitious professionals develop the same strategic data capabilities you've built — and watch them transform how their organisations work with data?


About iO-Sphere


Traditional training is broken. People finish courses with theory but no real capability — the experience gap. We solve that.


At iO-Sphere, learners don't sit through lectures. They come to work in PRISM, our fully simulated company with 500m+ rows of real data, where they tackle realistic business problems and build practical skills they can use immediately. Combined with high-touch coaching from people who've actually done the work, we deliver real capability development — not just content consumption.


We're one of the UK's fastest-growing Data & AI training companies, running skills-levy funded programmes for working professionals. Our Data & AI Strategy programme develops the next generation of data leaders — people who can govern data responsibly, build trusted data systems, drive AI initiatives, and turn strategy into measurable business outcomes.


The Team


Our coaching team is exceptional — former data scientists, analytics directors, engineers, and AI practitioners who decided to do something different with their expertise. You'd be joining a high-performing, tight-knit group that takes ownership, holds itself to a high bar, and has a lot of fun doing it.


The Role


You'll coach working professionals through our Data & AI Strategy programme — helping them develop the strategic capabilities that turn technical experts into data leaders. You'll also contribute across our Data Analytics and AI Skills programmes where your experience adds value.


This isn't lecturing. You'll run interactive sessions, give deep feedback on real projects, challenge thinking, and help learners apply what they're learning directly in their roles. You'll guide them through building data governance frameworks, designing data products, making the business case for data initiatives, and navigating the organisational complexity that comes with driving data strategy.


Day-to-day, this means:

  • Running live coaching sessions that bring concepts to life through discussion, not slides
  • Reviewing learner work and giving the kind of honest, constructive feedback that actually develops capability
  • Helping learners connect programme content to their real jobs — making it stick
  • Coaching on data governance, data quality, data product development, and building the business case for data initiatives
  • Supporting learners through their capstone projects — where they build something real for their organisation
  • Contributing to curriculum development as programmes evolve
  • Collaborating with other coaches to share what's working and solve problems together


The Impact


We're rated 4.9 stars on Google — and that's because of our coaches. You'll watch people transform from uncertain to confident. From doing the technical work to leading the strategic conversation. The feeling never gets old.


We're also at an inflection point. 700+ learners trained, real momentum, and 2026 is when we scale. You'll help shape how we develop data leaders as we grow — this isn't a rigid system, it's something you'll help build.


What We're Looking For


Industry experience in one or more of:

  • Data strategy — translating business goals into data initiatives that deliver measurable value
  • Data product development — building reusable data assets that solve real business problems
  • Data quality and master data management — creating trusted, reliable data foundations
  • Data governance — implementing frameworks that balance control with enablement
  • Data architecture or DataOps — designing systems that scale
  • AI/ML governance — managing risk while enabling innovation


You've probably:

  • Led or significantly contributed to data initiatives in complex organisations
  • Built business cases for data investments and demonstrated ROI
  • Navigated the politics and stakeholder complexity that comes with data transformation
  • Worked across technical and business teams to drive adoption
  • Had hands-on experience with cloud platforms (Azure, AWS, GCP) or modern data tooling


Right mindset:

  • Genuinely energised by helping others develop — not just sharing what you know
  • Comfortable giving honest feedback that pushes people to improve
  • Curious and adaptable — every learner is different
  • High ownership — you see problems and fix them


You don't need teaching qualifications. You bring industry experience — we'll train you to coach and support you in gaining formal qualifications as part of your development.


What We Offer

  • Competitive salary (dependent on experience)
  • Full-time or part-time — we want to hear from you either way
  • London-based or remote within the UK
  • Programme variety — skills-levy programmes, applied diplomas, commercial training
  • Opportunity to shape curriculum and how we develop data leaders
  • A team of smart, passionate people who take their work seriously (but not themselves)


Eligibility: Unrestricted right to work in the UK required. We cannot offer visa sponsorship.


At iO-Sphere, we value diversity and believe the best outcomes come from varied backgrounds. If you share our passion, we encourage you to apply.

Related Jobs

View all jobs

Data Strategy Coach

Data Strategy Coach

Data Strategy Coach

Data Strategy Coach

Data Strategy Coach

Data Strategy Coach

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.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.