Tata Consultancy Services

Wipro

Serco Group

Dheeraj Saxena

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

Why Most Data Platform Failures Happen Before Build Starts

Essity

Chief Data Officer, and Enterprise Architect at Datawhistl.com

Develop a practical understanding of how data platform discovery frames the problem while HLD defines the solution.

Architecture Discovery vs HLD: Understand key differences

Translate vague business requirements into clear, well-defined data products.

Frame Business Requirements as Data Products

Learn techniques to identify issues, and validate assumptions, estimates, constraints using minimal due diligence.

Highlight Risks, Validate Assumptions, Requirements Early

Learn practical use of data architecture principles to validate requirements, and make high-level architecture decisions

Use principles to make architecture decisions

Become the go-to data professional who prevents bad data, not just fixes it

Data Quality Leader

Strava

Komodo Health

Salesforce

Fitbit

Shailvi Wakhlu

Data leader at Meta with two decades improving data quality

Spring'26

Asia-Pacific Cohort

Bad data is everywhere—and if you work with data, you’ve felt the pain.📉 Broken dashboards 🔁 Conflicting metrics 🧯 Late-night pipeline debugging 🗣️ Re-explaining numbers you know are wrongOver time, this erodes trust in your data—and in your work.Most data professionals are stuck in reactive mode. You fix issues after they’ve already caused damage, only to see the same problems resurface weeks later. That’s not a skill issue—it’s a systems issue.This course helps you change that.You’ll learn how to approach data quality systematically, not ad hoc:<ul><li>🔍 Identify where and why data quality issues originate</li><li>🧪 Diagnose problems quickly using structured SQL-based techniques</li><li>🛡️ Put guardrails in place so errors are caught before they impact decisions</li></ul>Just as importantly, you’ll learn how to make data quality visible and valuable. You’ll practice communicating the business impact of bad data so this work gets prioritized—not ignored.The result? ✅ Less firefighting 📊 More trust in your data 🚀 Greater confidence in the insights you deliverIf you’re ready to stop chasing bad data and start preventing it, this course gives you the playbook.

Stop firefighting bad data: prevent, diagnose, and fix it systematically

Prevent data quality issues before they reach stakeholders

Diagnose and debug data issues using a repeatable SQL approach

Assess data health across the full data lifecycle

Automate data quality checks to protect pipelines

Reduce firefighting and increase trust in your data

Influence teams to prioritize data quality initiatives

Data Analysts &amp; Data Scientists who want to prevent bad data instead of constantly fixing errors and dealing with misleading insights.

Data Engineers who want to build reliable pipelines with automated quality checks to ensure a trustworthy, high-integrity data environment.

Data Practitioners who need to secure company-wide buy-in for data governance initiatives that drive better business decisions.

Decide what's worth building, before you build it

CPO | Ex Amazon, Intuit, PayPal

Amazon

PayPal

Intuit

PropertyGuru

Viveck P Kumar

20 years in product. Ex-Amazon, PayPal, Intuit, PropertyGuru.

Cohort 1

Most product teams don't fail because they can't execute. They fail because they diagnosed the problem wrong before they started.They picked a behaviour that looked like a problem. They built for acquisition and ignored retention. They launched with a value proposition that made sense to them but meant nothing to the customer on day one.The cost is not abstract. It is wasted quarters on features nobody adopts. It is a retention curve that will not move no matter what you ship. It is walking into a leadership review without a clear answer to why growth has stalled. The execution was not the problem. The value selection was.This workshop teaches the BELT+POLE framework — a diagnostic and design system for product managers who need to stress-test their bets before committing to them.Before this workshop, you evaluate product bets with experience and instinct. After it, you run a diagnostic. You know what kind of problem you are solving and exactly where the architecture is failing. That shift does not wear off.

Know whether a product bet will drive adoption before you commit roadmap, budget, or team to building it.

Leave with a diagnostic you can run on any product decision by next Monday.

This is advanced material for working practitioners. If you've just entered the industry, build foundational skills first, then return.

3+ years actively practising product

Before this course, you're the PM who builds what the roadmap says. After it, you're the PM who decides what the roadmap should say

Founders &amp; CPOs who have a working product but cannot articulate why customers stay, what the moat is, &amp; how to design for it deliberately.

PMs building in fintech, productivity, health, or professional tools who want a diagnostic they can run on any product, any time.

Go from PM to Leader executives trust — by earning approval for AI products that deliver measurable business outcomes via the Product Model.

 3x Head of Product, 2x CEO, 1x GM

The Home Depot

U.S. Army

Cadence

Unilever

Stanford University

Rocky - ProductLedCEO

3x Head of Product |
2x CEO |
1x GM |
Led $1.3 Bn Product dept at Home Depot


March 2026

June 2026

AI is not replacing Product Managers. It is replacing the ones who cannot think.AI Product Builder — build a product using AI tools &amp; ship fast — is no longer a differentiator.So what separates the PMs companies fight to keep from those quietly replaced?The measure of success is never how many AI products did we ship.It is did we move the needle.Before you become a Product Builder, you need to be a Product Explorer™ — the ability to connect every decision to a business outcome that your executive is accountable for.A Product Explorer™ is given problems to solve, not features to build. That distinction changes how execs see you.That discipline is called Product Strategy &amp; Discovery — &amp; most PMs skip it entirely, turbocharging the feature factory. Garbage in, garbage out, faster.The PM who survives develops 3 skills:<ul><li>Executive skills to set product strategy and earn approval</li><li>Inventor skills to run Product Discovery &amp; find solutions worth building</li><li>Operator skills to scope, frame ROI, &amp; deliver the business outcomes</li></ul>Over four Saturdays, you develop all three — through the Product Model, build your own AI opportunity, &amp; a business case judged by Rocky &amp; a Fortune 10 leader.Not someday. Now.

Master the Executive, Inventor & Operator skills that make C-suite fight for PMs

Executive skill: connect every product decision to a business outcome.

Executive skill: set AI Product Strategy tied to mission and outcomes.

Inventor skill: run Product Discovery to learn what is worth shipping

Operator skill: build a Business Case that earns executive approval.

All 3 skills: pitch and earn Executive Approval under real pressure.

All 3 skills: measure success by Outcomes — not features shipped.

You've shipped at least one product or feature — this course builds on that foundation, not from scratch.

Basic product management experience

You've used ChatGPT, Claude, or Gemini at work or personally — so we can skip the basics and go deeper.

Familiarity with at least one AI tool

Week 2 discovery prototyping sessions run on Claude (claude.ai — Pro plan, USD 20/month). You will need the paid plan to build and test it

Access to Claude's paid plan (USD 20/month)

PMs stuck in Project Model — shipping what stakeholders ask, who are ready to switch to Product Model — solve problems that tie to outcomes.

Mid to senior PMs who do solid product work but struggle to connect it to what leadership actually cares about.

Product managers feeling pressure to deliver AI results but unsure how to make it count at a business level

Build the Leadership Architecture You've Been Leading Without

Founder | Executive Coach

Slalom

Co-Active Training Institute

International Coaching Federation

Danielle Tye

Founder | Executive coach | 15+ Years in Product & Tech leadership

Workshop 1

Most leaders were never handed a leadership playbook. Instead, they learned by watching, absorbing the habits, patterns, and instincts of the leaders around them. Some of those lessons served them well. Others became invisible defaults they never chose but have been running ever since.That's the identity gap: the distance between who you are and how you actually lead. And it shows up in ways that are hard to name. Saying yes when you mean no, over-functioning to prove your value, managing perceptions instead of leading with conviction.This workshop helps you see the script you've been leading from, then gives you the tools to replace it with something intentional. You'll build your own leadership architecture, a personal framework grounded in your values, translated into principles you can actually lead by. Not theory or advice, but a structure you design, pressure-test, and walk away with.

Executive leaders navigating high-stakes roles without a personal leadership architecture

Senior leaders ready to replace default patterns with intentional leadership style

Transitioning Director+ leaders who've outgrown the leadership model that got them here