Women in Data Podcast

In this episode, Karen is joined by Kinnari Ladha, Chief Data Officer, to explore why great data work often fails to land — and how communication turns data leaders into trusted influencers, making it their superpower. 

 

Drawing on over two decades in data—from hands-on analyst to executive leader—Kinnari shares candid stories of building “perfect” dashboards that didn’t get used, and how those moments reshaped her approach to leadership.

 

She explains why career progression in data requires doing more work bringing people along, how tailoring messages to different audiences and shifting from reporting to storytelling changes impact, and why focusing on outcomes — not outputs — transforms how data is valued.

 

The conversation also dives into the role of trust in influence: how small, consistent actions build credibility, why listening comes before strategy, and how data teams can move from being seen as service providers to true business partners. With practical habits like weekly “highs and lows” and reframing data in business language, this episode is packed with insights you can apply straight away.

What if the secret to a successful year was a shift in mindset?

In the first episode of the year on the Women in Data Podcast, Karen is joined by Seana Tomlinson, coach, counsellor, and trainer and coach on the Women in Data LEAP programme, to explore four mindsets that can set you up for a more confident, authentic, and sustainable year.

After 18 years in the corporate world, Seana built a portfolio career that truly works for her and her family. On the podcast, she shares her key learnings to help you start the year with clarity and intention. Together, they discuss why confidence isn’t fixed, why authenticity matters more than imitation, how resilience goes far beyond “pushing through,” and how work–life balance evolves across different seasons of life.

This episode offers practical reflections on:

Building confidence before you feel ready

Leading and showing up as yourself

Strengthening resilience without burning out

Creating balance that works for you, right now

If you’re ready to start the year with self-belief, clarity, and intention, this conversation will help you lay the foundations for a successful year.

Karen and Cecilia tackle a pain point every data professional knows: trying to stay aligned without packing your calendar with even more meetings. From hybrid work and endless notifications to navigating Slack vs. Teams, they explore why the answer isn’t more communication — it’s better communication.

They share real stories, practical strategies, and the tools that actually help: async updates, stand-ups, dashboards, wrap-up messages, and ways to protect your deep-work time. They also reveal the tactics they’re trying next and invite you to share your own.

If you’ve ever left “a meeting to join a meeting about meetings,” this episode is for you.

Are we getting AI transformation all wrong?

Organisations are racing to adopt AI, but the gap between ambition and execution is wider than ever. In this Women in Data episode, host Cecilia Oliveira speaks with technology leader Saloni Thanki about turning strategy into tangible business outcomes.

Saloni, who advises both nimble startups and global corporates, cuts through the hype to explore the dual realities of AI adoption:

The fast-paced, "defensible moat" challenge for startups.

The budget and regulation hurdles for large enterprises.

But the real question isn't about tech; it's about people. Saloni argues that the cultural transformation plan must be an equal priority with the technology plan—or your AI initiative could be set up to fail.

Learn Saloni's practical leadership strategies, including how to define accountability, why to streamline processes before automating, and why AI transformation can create a fear of loss for employees rather than fear of change.

In this episode, Karen is joined by Barr Moses, CEO and Co-founder of Monte Carlo, to explore how AI agents are transforming how data teams work — and why trust must sit at the heart of every data and AI initiative.

 

Barr shares how troubleshooting agents save days of work mimic human reasoning to identify and fix data incidents, how teams can “operationalize trust” in their data and/or AI systems, and what it really takes to bridge the gap between hype and reliable business value.

 

Together, they unpack the pressure data teams face to deliver AI quickly, the realities of observability, and why technology alone isn’t enough .

 

Whether you’re building AI systems, leading a data function, or simply trying to make sense of the fast-changing landscape, this episode will help you understand what it takes to build data and AI you can trust.