Nick Zervoudis

Cohort 1

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Product managers who drive strategy, development, and launch of products.

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Data scientists who apply statistical and ML techniques to extract insights from data.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Getting promoted, navigating job transitions, and advancing to the next level in your career.

Executive communication — presenting to boards, writing memos, running all-hands, and high-stakes messaging.

Developing leadership skills — inspiring teams, building culture, navigating organizational complexity, and driving results through others.

Using data and metrics to measure performance, run experiments, and inform decisions.

Persuading stakeholders, presenting ideas, and getting buy-in across an organization without formal authority.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Transform from order-taker to strategic partner with proven frameworks for ROI, discovery, executive influence, and value demonstration.

Data & AI Product Management Consultant

Data Product Management Consultant at Value from Data & AI

ROI of Data & AI: How to demonstrate & maximise your impact

Business analyst & Analytics engineer

Senior Data Enablement Lead

Data Product Manager

Data Platform Product Manager

Product Manager

AI Product Manager

Staff Data Engineer

Performance and Insights Partner

AI Strategy Lead

Digital Technology Manager

PepsiCo

IKEA

Sainsbury's

Lloyds Bank

Capgemini

The data professionals who get promoted aren't always the most technical. They're the ones who can walk into a boardroom and say, "Our work generated $3.2M last quarter, here's how."But nobody taught you how to do this. You've mastered every algorithm, built perfect pipelines, and still watch less-technical colleagues advance faster - simply because they speak business.This isn't about abandoning technical excellence. It's about adding the layer that multiplies your impact: commercial thinking, value quantification, and executive communication.Over 3 intensive weeks, you'll learn frameworks I've built and refined the hard way over the past decade. Calculate ROI using methods finance teams actually trust. Build business cases that secure 7-figure investments. Present complex work in ways that get instant executive buy-in.Mid-level practitioners use these tools to leap into senior roles. Leaders use them to transform their teams from cost centres to strategic partners. Consultants use them to 3x their project values.Stop hoping your work will speak for itself. Learn to articulate your value in the only language that leadership understands: $$$

Do you know how much money you've made for your business?


Quantify Your Work in $$$, Not Metrics

Turn Technical Wins into Business Stories

Escape the Ad-Hoc Request Trap

Transform Your Team's Reputation

You already work with data, analytics, or AI: We'll teach the business side, you bring the technical context

Real-world data experience

You're ready to expand from building models to building business cases and influencing strategy.

Ambition beyond technical work

You interact with business teams (if you're working on business-facing projects) and/or downstream users (if you're on a platform team)

Stakeholder exposure

Senior Data Leaders (e.g. VP or Head of Data) defending budgets and proving their team's strategic value to the C-suite

Mid-level data professionals (DS/DE/Analytics) ready to accelerate their careers by adding commercial skills to technical expertise

Data Consultants and Freelancers looking to sell more projects while increasing the impact they have for their clients

Learn directly from Nick Zervoudis

Nick Zervoudis

Courses

ROI of Data & AI: How to demonstrate & maximise your impact

Lightning Lessons

How to Estimate AI ROI: A Case Study

How to Estimate AI ROI (Quickly)