Paras Doshi

Head of Data (Amazon, Opendoor)

Assess Your AI Data and Analytics Capabilities in 30 Minutes

Amazon

Opendoor

Assess whether AI is helping individuals, agents, shared context, or decisions.

Find your team’s current level

Find the missing definitions, sources, owners, and review steps behind weak AI answers.

Spot what blocks trusted answers

Pick the next practical move from one-off AI help to reusable, trusted decisions.

Build your roadmap to level up

Stop being the “number explainer.” Build the stories, systems, and credibility to lead with clarity and confidence in the age of AI.

Cohort 8

Data & AI Leader, 19yrs of scaling data

Wayfair

Scotiabank

Wunderflats

ZEAL Network SE

Pier Martin

Data & AI leader with 19+ years scaling global teams, Executive coach 

Cohort 7

Cohort 9

Do you lead a data or analytics team and you keep asking yourself:<ul><li>How do I get executives to act on my insights instead of nodding and moving on?</li><li>How do I influence Product, Marketing, and Finance when none of them report to me?</li><li>How do I build real credibility on AI without just demoing tools?</li><li>How do I get my team seen as a trusted partner, not a ticket shop?</li></ul>If those are your questions, you're in the right place. The work is strong. You are just not in the room yet when the decisions get made.Here you fix that by building your own AI Operating System. A working system that keeps supporting you long after the course ends. It remembers every stakeholder you map, drafts in your voice, pressure-tests your decisions before the room, and gets sharper every time you use it. One person, operating like a team.So you turn data into stories executives repeat. You turn AI pilots into business cases that win support. And the system keeps compounding, carrying more of your load as you take on more. You own it for life.

Get in the room with the decisions - taught by a VP who still runs a data team.

How to Make Executives Act on Your Insights

How to Lead AI Change Without the Fear

How to Run a Data Team That Scales

How to Decide What Matters Under Pressure

Folks who are early in their career, focused only on technical execution, or looking to break into data/analytics should not enroll.

This course is NOT FOR everyone

It is designed for data managers, analytics leads, and heads of data already managing teams and facing leadership challenges.

This is NOT a beginner-level technical course

The Overlooked Data Manager: you ship dashboards but get talked over in strategy rooms, and want to be trusted for impact, not output.

The Stretched Head of Data: you lead 5 to 15 people, firefight all week, and need a system that shows control and builds credibility.

The New Data Leader: just promoted from IC, strong technically but light on storytelling and presence, ready to lead in the AI era.

Transform from consumer of analytics to independent operator - asking sharp questions, validating answers, shipping decisions.

Cohort 2

Principal Data Scientist @ Ontra 

Stripe

Nextdoor

PwC India

Ontra

AppFolio

Shane Butler

Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio

Data Science Leader |Ex-Microsoft

Microsoft

eBay

Grammarly

Superhuman

Sravya Madipalli

Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor

Head of Data @ Ontra AI | Ex-LinkedIn

LinkedIn

Pinterest

Hai Guan

Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta

Cohort 1

Cohort 3

As AI reduces the value of deep domain silos, the people who thrive will be the ones who can work across disciplines and ship. Analytical independence - the ability to validate your own ideas and make data-informed decisions - remains the missing skill in most builders' toolkits.AI can conduct the analysis, but it can't tell you what to ask or whether the answer makes sense. That requires analytical judgment.This course teaches you to think like a senior Product Data Scientist. You'll learn the frameworks used at FAANG companies to frame problems, choose the right metrics, diagnose root causes, execute the analysis, and turn insights into decisions.-&gt; <a target="_blank" rel="noopener noreferrer nofollow" href="https://join.slack.com/t/dataneighbor/shared_invite/zt-3ox4drc3r-3g0ptSthytkgv0sD6ovvqg">Join AI Builders Slack Community!!</a> &lt;-What makes this different: No SQL. No stats lectures. Five weeks of hands-on real scenarios. You'll build end-to-end, metric specs, deep dives, experiment plans, stakeholder readouts.The result: You become analytically self-sufficient. The last dependency removed from your toolkit. Make data-informed decisions in hours, not weeks.

Ask Better Questions, Make Faster Decisions - with AI as Your Analyst

Frame Problems Like a Senior Data Scientist

Design Metrics That Actually Drive Decisions

Diagnose Root Causes Without Guessing

Design Experiments That Ship

Turn Analysis Into Action With AI as Your Copilot

Synthesize Insights and Prioritize for Impact

Product Managers, engineers, and operators who need analytical independence and frameworks to measure success and drive decisions.

Designers and researchers stepping into strategy roles who need to quantify impact, run experiments, and influence with data-driven insights

Data professionals who want to frame better questions, delegate technical execution to AI, and drive impact with agentic analytics tools.

Develop confidence in your AI-fluency, to the extent that you can make million dollar decisions that inspire your team and your board.

Operator running a 14-agent AI business.

Meliora

Nine Entertainment

Singtel

Krish Raja

Ex-coder, product strategist and proven revenue leader in the technology sector.

Every senior leader I have sat with in the last year has the same private tell. They want to be more AI-confident. They know their team is self learning in a language they don't have time to get across. They know the next panel question, the next board question, the next hire, the next all-hands is going to expose the gap. They have been buying time outsourcing the final decision.AI is not software. Software was built to be used by humans. Agentic AI is built to be used by other AI. That shift changes the shape of a business, the shape of an org chart, and the shape of executive work itself. Leaders who operate for the next ten years the way they operated for the last ten are at risk. Not because AI replaces them. Because the leaders next to them become three times more capable, and the race to the bottom on efficiency does the rest.The way out is not another literacy deck. It is reps. It is fingers on the tools. It is the practice of operating with AI daily, in public, in front of peers who will not let you bluff. AI learned to speak English. You have not learned to speak AI. This programme is four weeks of doing exactly that, anchored to something real you have to ship.

Four weeks to level up and close the gap on your AI potential.

Walk out with the decision made

Stop spending six figures on the wrong vendor

Walk the walk before you talk the talk

Become the senior operator with the clearest read on AI in your company

Build your private, portable memory web

Run Mind Set → Mind Map → Mind Make on every future AI call

Need to show strength in publicYou're being asked to present your AI strategy on stage, to a board or to inspire your team.

On the hookYou own the budget, and need to make a high value decision on AI in the next 90 days.

The glue in the businessYou're the one tasked with operationalizing AI inside your org and need more clarity on where to start.

To succeed in the AI world, leaders need a new team vision and strategy 

19 years exp - Leader - Coach - Speaker

Lloyds Bank

ClearScore

Pet Protect

Halifax

Laurent Christoph

Product & Design Leader, 19 yoe, Coached 100s, PEEACH leadership philosophy 

Strategy Sprinters 1

Are you finding yourself at a crossroad? AI is here to stay and your team purpose, strategy and vision have become fuzzy. "All in on AI" is not a strategy. "We will develop a network of AI agents across the org" is not an inspiring vision."We are the AI powered team" is not a meaningful team purpose.That's why it's time you redefined your team's purpose (why it exists), your vision (where you want to be in 2 years) and your strategy (how you will get there as a team). The impact of having a winning team strategy is so often underestimated. It drives business impact. It drives individual and team performance. It drives employee engagement and growth. And it helps you grow as an influential leader in your organisation. Doing this can feel like a long, daunting task. It doesn't have to be. I will teach you the exact process to use for defining a new team strategy and start executing on it in just 30 days. I used this exact process at ClearScore to turn the team's performance around in just 9 months. The results:<ul><li>80% employee engagement </li><li>£600,000+ productivity gains </li><li>Turned around the reputation of the team internally </li><li>2 team members promoted</li></ul>

Learn how to run a team strategy sprint and go from vision to execution in 30 days or less

Learn what it takes to define a compelling team strategy

Turn your strategy into execution with strategic objectives

Develop an accountability system for success

Team leaders who want to embed AI into their team's strategy in a way that is positive and motivating for employees

New team leaders who want to be more strategic and identify opportunities for their team to increase their contribution

Any team leader who want to define a compelling team strategy, vision and purpose in less than 30 days

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

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

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

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

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.

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