Data work is changing. This is where practitioners talk about the real shift.
A practical podcast from Tony and Juan about AI-native data work: agents, analytics engineering, semantic layers, governance, careers, consulting, and turning data teams into business value.
AI agents, context engineering, and semantic layers
Data platforms that create business leverage
Careers, consulting, governance, and delivery in the AI era
Data teams, AI agents, governance, careers, and business value.
The transcripts show a practical focus: AI agents, analytics engineering, semantic layers, governance, healthcare data, consulting, sales, platform operations, and data careers. Tony and Juan talk with builders, founders, operators, consultants, and data leaders who work inside real organizations.
AI-native analytics
Episodes cover agents, copilots, semantic layers, and context engineering in real data-team workflows.
Data teams as business engines
Guests explain how analytics, engineering, and BI teams prove value and connect technical work to growth.
The modern data stack in practice
The show gets into dbt, Airflow, Snowflake, open source, governance, data modeling, and platform operations.
The people side of data
The conversations cover hiring, careers, consulting, stakeholder management, leadership, and durable expertise.
Find the episodes that cover your topic.
Search in plain English. The BM25 index scores every transcript passage, groups the matches by episode, and opens the exact timestamp in the transcript.
Start with the newest conversation
Resumes Are Obsolete, the SaaSpocalypse and Going Freelance — Ian Allison
Ian Allison, founder of Salient Insights, on what separates the top one percent of data and AI candidates, where the freelance market is heading, why custom builds are replacing canned software, and why the resume has stopped telling hiring managers anything.
All Data Hustle episodes
Every published conversation from the show, ordered from newest to oldest.
Resumes Are Obsolete, the SaaSpocalypse and Going Freelance — Ian Allison
Ian Allison, founder of Salient Insights, on what separates the top one percent of data and AI candidates, where the freelance market is heading, why custom builds are replacing canned software, and why the resume has stopped telling hiring managers anything.
AI Won’t Fix Your Culture: Power Distance, Vibe Coding & Human Judgment — Jimmy Pang
Jimmy Pang, founder of Data Biz and former data leader at Foodpanda, Delivery Hero, HelloFresh and Vestiaire Collective, on why your data architecture mirrors your company culture, what AI changes about data work, and whether data mesh actually works.
Surviving the Mean Data Streets: Semantic Layers, Friction & Passion — Chris Tabb
Chris Tabb, co-founder and Chief Commercial Officer of LEIT DATA, on thirty years of semantic layers, what business value actually is, the three kinds of friction in data delivery, and scaling a consultancy to 100 people.
Scaling a Data Consultancy: Pricing, Branding & Clients — David Cohen
David Cohen, founder of Superposition, on what it takes to build and scale a boutique data consultancy: positioning, pricing models and margin, picking a niche, saying no to clients, and gamified discovery workshops.
Data Work is a Listening Job — Gabriela Costa
Gabriela Costa, analytics engineer and team lead at Indicium AI, on why “I need a dashboard” is rarely the real requirement, business discovery before solutions, treating dashboards as data products, and teaching data professionals to really listen.
How Sequentum Scrapes the Web at Scale — Sarah McKenna
Sarah McKenna, former CEO of Sequentum, on why AI needs seatbelts: guardrails, audit trails and deterministic workflows, plus who owns the open web as publishers, AI crawlers and scraping companies collide.
Taking Analytics by Storm with Agents
A practical conversation on analytics agents, context engineering, semantic layers, and how data teams can use AI agents without creating an agent cemetery.
Data Superstars are a Trap — Thomas in ’t Veld
Thomas in ’t Veld, CEO and co-founder of Tasman Analytics, joins Tony and Juan to discuss why companies should build lean, AI-native data teams instead of relying on a single data superstar.
Slow Data, Fast Business — Noel Gomez
Noel Gomez, co-founder of DataCoves, breaks down what it takes to turn dbt, Airflow, Snowflake, and open-source tooling into a platform teams can actually run at scale.
Get Left Behind Unless You’re AI-Enabled and Deeply Human
Kingsley Hall joins Tony and Juan to unpack how AI is changing sales, cybersecurity, and the future of work — and why durable expertise still has to stay deeply human.
The Data Hustle — Christopher Gambill
Christopher Gambill talks data engineering career paths, where AI changes implementation work, and what aspiring data professionals should focus on next.
The Data Hustle — Zharko Cekovski
A practical conversation on building data capabilities, operating inside real organizations, and keeping technical work tied to business outcomes.
The Data Hustle — Shane Gibson
Shane Gibson joins Tony and Juan to discuss data leadership, delivery discipline, and how teams can create more value without drowning in process.
The Data Hustle — Slawomir Tulski
A conversation on lessons from Meta, how data work becomes business value, and where implementation work goes as AI changes the job.
The Data Hustle — Dr. Clair Sullivan
Dr. Clair Sullivan joins Tony and Juan for a practical discussion on healthcare data, analytics leadership, governance, and making data useful in complex environments.
The Data Hustle — Thais Cooke
Thais Cooke talks about moving into data, the analyst role being reborn, cleaning AI output, and the skills analysts need next.