HeyJaredSustainable Tech Leader
The Sustainable Tech Leader isn’t just another leadership podcast. Tech leaders face unique pressures, fast-paced change, relentless delivery cycles, managing up while supporting teams, and constant disruption. Most advice is either too technical or too generic.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 17, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 15, 2026
Latest episodes
Sanjay Mistry on AI Adoption, Communication, and Building Sustainable Tech Leadership (opens the original)
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On the Sustainable Tech Leader podcast, host Mita interviews Sanjay Mistry (Group CTO at PM Connect, advisor at Build It, and executive coach at CTO Academy) about recurring challenges for technology leaders. Sanjay highlights three themes: miscommunication (listening to understand and using customer/value language), strategic alignment amid rapid AI-driven change (slowing down, returning to organizational basics and customer needs, and thinking across time horizons), and value creation (beyond
Fay Niewiadomski on Identity, Leadership Chemistry, and Decisions That Matter (opens the original)
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Fay Niewiadomski on Identity, Leadership Chemistry, and Decisions That Matter Host Mita welcomes leadership consultant, strategic intervention coach, and author Fay Niewiadomski, a Fulbright scholar turning 80, who rejects retirement and emphasizes lifelong learning. Fay recounts a pivotal moment during a 15-year civil war when her bombed university office destroyed 17 years of work, prompting her to resign her deanship, leave an alcoholic husband, start an educational consultancy, and later pur
Dr. Guillermo Power : Navigating the Agentic Revolution: AI Productivity, the Junior Hiring Decline, and the Training Gap Paradox (opens the original)
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In this Sustainable Tech Leader podcast episode, host Mita speaks with Dr. Guillermo Power, an Oracle senior development manager and author of “The Future of Software Development: Navigating the Agentic Revolution and the Training Gap Paradox,” about how AI-driven coding is boosting productivity while undermining the pipeline that creates future senior engineers. Power cites surging GitHub commits, widespread developer adoption of AI tools (including before mandates), and data suggesting junior
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