Principal Consultant. MD @ Datawhistl

Tata Consultancy Services

Wipro

Serco Group

Dheeraj Saxena

Ex-IBM, TCS, Wipro Consultant. | 25+ Years Scaling Data, AI & MarTech Solutions

Why Most Data Platform Failures Happen Before Build Starts

Essity

Chief Data Officer, and Enterprise Architect at Datawhistl.com

Understand the real cost of skipping Discovery — in rework, delays, and lost stakeholder confidence.

Why skipping Discovery and jumping to HLD breaks programmes

Learn techniques to identify red flags, validate requirements, and develop estimates during high-level discovery.

How to identify show-stoppers before the budget is committed

Real case study: how wrong Discovery questions set programmes up to fail — how architecture principles prevent this.

Learn how architecture principles save programmes

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

Data & AI Leader, 19yrs of scaling data

Pier Martin

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

Cohort 6

Cohort 7

As a data leader, do you catch yourself asking questions like…- How do I get execs to actually act on my insights instead of tuning out?- How do I influence peers in Product, Ops, and Marketing when they don’t report to me? - How can I build credibility around AI adoption without just demoing tools?- How do I stop my team from being seen as a “ticket shop” and instead as a trusted partner?If you’re not confident about these, this course is for you. This is a hands-on leadership course designed for emerging data leaders, analytics managers, data science managers, and heads of data who want to grow from technical doers into visible, trusted, AI-ready leaders.Before this course, you may feel:- Stuck explaining numbers that don’t lead to action.- Anxious that AI will outpace your team or make your work irrelevant.- Reactive to hype or resistance, rather than steering the narrative.After this course, you’ll:- Turn “data dumps” into compelling stories that executives repeat in the boardroom.- Translate AI pilots into credible business cases that prove ROI, reduce fear, and win support.- Lead your team confidently through change, balancing optimism with realism.

Lead with Data. Inspire with Story. Win with AI.

How to Master Strategic Communication

How to Lead AI Change with Confidence

  How to Build Your Leadership Operating System

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

Overlooked Data Manager delivering dashboards but dismissed in strategy conversations, eager to be trusted for impact.

Stretched Head of Data managing 5-15 people, stuck firefighting, and needing systems to show control and credibility.

Aspiring AI-Ready Data leader, newly promoted from IC, strong technically but lacking storytelling and executive presence.

Talk to customers. Test assumptions. Build with conviction.

Fractional CPO | x-Oracle, Autodesk

Oracle

Autodesk

Stanford University

National Peace Corps Association

Arup

Moiz Kapadia

Fractional Head of Product | ex-Oracle, Autodesk, Stanford alum

Cohort 4

Cohort 5

Most PMs are stuck shipping a roadmap they don't own. It's reactive, based on Sales or Engineering requests, rather than proactive based on customer needs.You can't build the product that defines your career if you don't own the roadmap.The PMs who shipped great products didn't do it by magic.They ran customer discovery sprints to build their case, de-risked the product and launched with conviction.There are many great books on customer discovery out there.But reading about it isn't enough. You need a repeatable process that you can practice, tailor and make it your own. This course teaches you a structured, AI-Powered Discovery process using Claude — applied to whatever you're building right now.Over 3 weeks of live lessons + ongoing office hours:Learn discovery fundamentals and set up your Claude Skills workflowRun a sprint to interview customers about your product idea, using your Agent.Finally, we'll make sense of your interviews together. By the end you'll know: Build or Pivot?

Bring your product idea. In 3 weeks, you'll know if it belongs on your roadmap.

Master Fundamental Discovery Skills

Build Claude Skills to run discovery end to end

Present your roadmap to your leadership with conviction

You will be interviewing Customers in the course. This is a critical skill in Discovery, not to be outsourced to AI.

Must be able to schedule at least 1 Customer Conversation

Product Managers at a company without a structured discovery practice

Founders who need validation before investing time and money in product development.

UX Researchers who are overloaded with discovery work and are looking for a system to speed up their workflows

Bad Learning Design Is Costing You Customers — Here's the Science Behind It

Learning Scientist | L&D Strategist

Vanorsdale Learning Lab

Great Game of Business

Docebo

National Alliance on Mental Illness Florida

English Like a Native

Dr. Christie Vanorsdale, Ed.D, Ms.Ed.

Researcher. Practitioner. 15 years translating learning science into results

Cohort 1

You've updated the onboarding. Rebuilt the knowledge base. Added walkthrough videos, help articles, live training sessions. Your customers still aren't adopting the product the way you need them to.The instinct is to fix the content. More of it. Make it Better, or Shorter. More visual. But, the problem isn't the content.It's that content was never designed to produce learning in the first place.Human beings don't retain complex knowledge because they watched a video or completed a walkthrough. Retention requires intentional sequencing, cognitive scaffolding, and an architecture that reduces friction rather than creates it. Most customer onboarding violates every one of those principles — not because the people who built it weren't smart, but because they were never taught what learning science actually says about how knowledge transfers.This workshop gives founders and leaders the diagnostic framework to identify exactly where their customer education breaks down — and the research-backed principles to fix it. You'll leave with a clear line of sight between learning architecture and the revenue outcomes you actually care about: adoption, retention, and renewal.

Learn the science behind knowledge transfer and leave with a diagnostic framework that connects learning architecture to business outcomes.

Understand why customers aren't retaining your product using learning science

Pinpoint exactly where your customer onboarding breaks down

Apply three evidence-based principles to improve product adoption

Connect learning design decisions to churn, adoption, and renewal.

The Scaling Founder Complex product. Customers churn before reaching value. Onboarding feels broken but there's no framework to diagnose why

The Customer Success Leader Owns onboarding and renewals. Content exists but adoption is flat. Needs a framework and internal buy-in.

The L&amp;D Manager Fixing customer education with no infrastructure or alignment. Knows training theory. Missing the revenue impact language

Master the systems to stop micromanaging and transition from a referee to an orchestrator of a self-running team.

Founder at The Strength Hack

Daimler AG

Airbus

Audi

Toll Collect GmbH

Murk Creusen

Founder & Leadership Coach at Strength Hack

Founding Cohort

You cannot fix burnout by working harder. You have a matching problem.AI is making your team's hard technical skills obsolete faster than they can learn them. You cannot fix this "AI anxiety" or burnout by asking them to work harder. You don't have an effort problem; you have a matching problem.Most Engineering Managers spend 70% of their week trapped in the "Mediocrity Loop" - refereeing personality clashes, fixing broken handoffs, and watching their team's shared knowledge collapse as junior roles vanish. You're bleeding runway and morale.This 30-day accelerator gives you the system to break out. Using the Big Five (or CliftonStrengths) assessment, a proven framework, and the Strength Hack AI, you'll map your team's cognitive architecture and engineer the conditions for psychological safety - not just hope for it.In 4 weeks, you will:<ul><li>Stop Generalist Exhaustion: Identify energy leaks and delegate based on Cognitive Fit, not calendar space. </li><li>Engineer Swift Trust: Use the 6-dimension Matching Compass to translate friction into synergy.</li><li>Drive ROI: Transition from a reactive referee to a strategic orchestrator</li></ul>

Engineer Psychological Safety. Stop Refereeing Your Team.

Shortcut the "Storming" Phase to Engineer Swift Trust

Reclaim 70% of Your Week (Plug the Energy Leak)

Turn Personality Clashes into Solvable Data

Restore the "Who Knows What" Architecture Your Team Lost

Walk Away with a "Plug-and-Play" Facilitation Kit

To get ROI from this course, a real-world team (direct reports or agile squads) is recommended to apply the Matching Compass frameworks.

Team Leadership or Management Role

You must take the free Big Five test (or CliftonStrengths) before to map your personal psychological operating system.

Completion of a Baseline Assessment

The Overwhelmed Engineering Manager / Tech LeadYou lead a hybrid or remote team. You want a data-driven system, not another workshop.

The Ambitious Senior / Staff Engineer<blockquote>You're moving to people manager. You want proven frameworks to lead a team without micromanaging.</blockquote>

The People-Conscious CTO / CPO<blockquote>You own culture and delivery for 10–200 people. Your board wants AI readiness. You need L&amp;D that's credible.</blockquote>

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

Engineers and engineering leaders who build, deploy, and scale software systems.

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.

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

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Why Most Data Platform Failures Happen Before Build Starts

What you'll learn

Why this topic matters

You'll learn from

Dheeraj Saxena