Commercial & product training for data teams
For years, you've been investing in data platforms, new tooling, expensive consultancies, data literacy initiatives... But your data team is still seen as a cost centre.The solution is not more technology. Your team needs a mindset shift: From service desk to strategic partner.Let's change that together.
the problem
Your data team might be stuck in ‘service desk’ mode if…
Your data team is stuck reacting to endless ad-hoc requests, leaving little time for strategic initiatives.
You deliver every dashboard and model as promised, but have little visibility into whether they’re actually used to drive decisions.
Stakeholders treat the data function as a service desk rather than a strategic partner.
Your performance is measured by outputs (e.g. # of requests closed, time-to-close etc.) not outcomes like ROI, revenue growth, cost savings.
Despite significant investment in data and AI, your team still struggles to demonstrate tangible business impact.
"We are constantly reacting to bullsh*t requests... No time to work on strategic projects"
Director, Fortune 100
"The business never consult us on what needs to be done"
Head of Data, FTSE 100 Subsidiary
the solution
I created the Value-Driven Data Professional programme to address the mindset and skill gaps I've seen across too many teams.Through hands-on training, exercises, and coaching, I work with data teams to build up the product, commercial, and stakeholder skills needed to:
Speak the language of the business: Quantify the financial value of data & AI initiatives
Master Discovery techniques: Stop delivering things just because someone asked for them. Learn how to ask "why?" and understand the business problem at hand before jumping into solutions & requirements.
Prioritise for maximum impact & ROI: Identify the initiatives that will have the greatest impact AND use frameworks to get buy-in for that prioritisation by the rest of the business.
Communicate with clarity: Learn how to write and talk to business stakeholders to actually get heard (hint: it's not about tech jargon)

Proven impact within weeks, not months
One thing that surprised me at first was how quickly most participants were able to not just apply the materials from our training & coaching sessions, but also achieve big commercial wins.I can't share all the stories in public, but here's a few verbatim quotes shared one month after our time together:
💬 “After the training, I started challenging assumptions more proactively. In one case, that led to de-scoping features a market wasn’t going to use, avoiding $200,000 in unnecessary delivery.” (Senior Data Product Manager, Fortune 50 firm)
💬 “We had a proposal with no budget. By estimating the value and showing expected productivity gains, we unlocked buy-in and got it fast-tracked” (Director, global top 5 FMCG)
💬 “Asking myself why we’re doing things has allowed me to recognize when work is unnecessary. It’s helped me focus on real opportunities and avoid wasted effort on things that won’t be used.” (Data Product Owner)
💬 “We knew users weren’t using the chatbot enough, but it was hard to get direct feedback from them. The middleman in the process assumed the users understood everything, but they didn’t. Now we’re pushing harder for direct user involvement from the start so we don’t have to fix adoption issues after deployment.” (Data Engineer)
(More client testimonials further down)
the programme at a glance
The exact list of modules, session length, and balance between training and coaching is determined after we sit down and discuss your needs, bandwidth, and current situation. But usually, it's a combination of:
DPM 101: Benefits & fundamentals of product-driven data teams
Discovery 101: Why & How to integrate customer discovery in ways of working
Valuation 101: Strategies and tactics for estimating the $$$ value of data initiatives
Valuation 102: Frameworks for measuring and reporting commercial value & ROI
Communicating for Impact: How to communicate effectively with business stakeholders
Prioritisation: Frameworks for prioritising initiatives together with your stakeholders and getting buy-in for the work you need to do (and the work you need to say no to)
Plus group & 1:1 coaching to support your team with applying the programme materials, give feedback, and work on key initiatives & deliverables together

All modules are practical, interactive, and packed with case studies and exercises.

HEAR FROM PAST PARTICIPANTS
Past participants range from data engineers, data scientists, data product managers, and senior analytics leaders. They work for Fortune 50 & Fortune 500 companies, high-growth unicorn, and data science consultancies.
Here’s how they describe the experience in their own words:
Clients typically see a significant (2-10x) ROI within two months - whether through avoided costs, accelerated projects, or improved stakeholder relationships.
While each engagement is tailored to your organisation’s needs, you can expect to receive three incremental options:
Bespoke training delivered on-site or remotely, exclusively for your team.Includes pre-workshop strategy session with sponsor & skill assessment for all participants, to ensure the content is tailored to your team's needs and priorities.Sessions can be grouped together (e.g. 2-3 all-day workshops), or spaced apart & broken into 2- or 4- hour workshops.
Everything in the previous option, plus:• 3x Group coaching sessions
• Office Hours alongside each training moduleThe exact makeup of the coaching portion depends on your team's availability, needs, and budget.The aim of these sessions is to help your team apply the materials and frameworks from the training in their projects. It's especially relevant if you do not have Data Product Management leadership in your org, or they lack the bandwidth to support your team.
Everything in the previous option, plus:• 1:1 coaching for key team membersThe 1:1 sessions are tailored to each participant's specific role and challenges - whether that's navigating difficult stakeholder relationships, building business cases for specific initiatives, or applying discovery techniques to their current projects.These sessions provide personalised guidance that group coaching can't match, making this option ideal for teams where individual contributors face very different challenges or require additional support.
I run a public, online version of the programme 2-3 times a year. I recommend this option if you want to try the programme before bringing me in to upskill your team, or if you only need 1-5 seats.Next public cohort: Q1 2026.
Price: €799/person.Note: All prices listed above do not include VAT or travel costs. Please get in touch for a specific quote based on your team's needs.
about your trainer & coach
I’ve spent the past decade working as a data product manager and consultant, helping companies turn complex data into commercial outcomes across industries where data is messy, high-stakes, and often neglected.

Prior to starting my own advisory & training firm, I was Head of Product at ckdelta.ai, the AI software and data monetisation subsidiary of the CK Hutchison conglomerate. I have worked as a data product manager or consultant for companies including PepsiCo, Sainbury's, Lloyds Banking Group, IKEA, Hg Capital, UK Power Networks, Greene King, and Capgemini Invent.
While I hate the term "thought leadership", I do write, speak, and organise a lot about Data & AI Product Management:
• I write extensively on LinkedIn and my newsletter about data & AI product management, data monetisation, and adjacent topics
• I founded the Data & AI Product Management community, where I run monthly in-person meetups in London and Barcelona, and online webinars to connect peers and share best practices
• I am a regular speaker at data science and data product events & podcasts
interested in learning more?
Schedule a free discovery call to discuss your team's specific challenges and how this programme can help. I'll walk you through the curriculum, share relevant case studies, and answer any questions about pricing and logistics.