Women in Data Podcast

Ep.140 - Guide to returning to your career in data after maternity leave

In this candid and empowering episode, Karen sits down with Maaike Van Der Branden, Chief Data Officer,  to explore the real, unfiltered experience of returning to work after maternity leave. From battling imposter syndrome and skill gaps to rebuilding confidence and reshaping leadership, Maaike shares insights that every working mum, colleague, and employer should hear.

Together, they discuss what it’s really like to return to your job as a new mum: the double guilt, the pressure to catch up, the fear of falling behind, and how crucial it is to be given time, space, and support. Maaike opens up about how motherhood has changed her—not just personally, but professionally—and how it’s made her a more empathetic and inclusive leader.

They also tackle the values that drive career choices post-parenthood, from rejecting toxic industries to focusing on meaningful impact.

Plus, don't miss the rapid-fire round on favourite books, tools, and leadership advice.

🎙️ Whether you're a mum in tech, a team leader, or someone navigating the messy middle of career and family—this episode will speak to you.

Ep.139 - Stay Relevant or Fall Behind:Thriving in the Age of Generative AI

Karen is joined by Cindi Howson—Chief Data & AI Strategy Officer at ThoughtSpot and host of The Data Chief Podcast. If you saw her speak at the Women in Data flagship conference, you’ll know how inspiring and bold her perspective is.

In this episode, Cindi shares her take on where data and AI are heading—and it’s not business as usual.

They explore:

• How generative AI and AI agents are already changing the landscape of work
• What it means for data professionals, particularly women, and their careers 
• How to stay relevant through continuous learning and adaptability
• The pressing need to address bias in AI and create more inclusive data cultures

Cindi asks: “If you can’t do this, then who?”—a challenge to step forward and lead the change in tech.

Whether you're a data leader, practitioner, or just curious about the future of AI, this episode is packed with insight, practical advice, and a call to action.

Cindi recommends:

• Coded Bias
• Race after technology

Ep. 138 - Data Teams Habits that Make us Cringe

Screenshots of dashboards. Dashboards no one uses. Naming conventions we regret. In this cohosted episode, Cecilia and Karen unpack the everyday habits in data that might just make us cringe in 20 years.

 

Inspired by the Future Data Cringe, https://www.futuredatacringe.com/, where 50 data leaders shared what they think will age badly, this conversation is full of laughs, reflection, and a reminder that we’re all learning as we go. 

Ep. 137 - What Data Job is Right for you? Breaking down Data roles

In this episode, Cecilia welcomes Riya Joshi, a Data and Applied Scientist on the Microsoft Edge Browser team, to demystify the wide world of data roles. Riya breaks down the field into four core paths—analyst, engineering, science, and product—explaining the purpose, required skills, and career fit for each.

Drawing from her journey from India to the USA, Riya offers guidance on how to assess your strengths, explore industry niches, and build skills that align with your goals. The conversation covers everything from storytelling with data and domain knowledge to navigating job descriptions and preparing for technical interviews.

Riya shares tips on building real-world experience through projects and bootcamps, structuring CVs, and preparing for interviews. Whether you’re switching careers or just starting out, this episode is packed with practical advice and inspiration to help you break into and thrive in data.

Ep. 136 - Data: The Most Transferable Skill

In this episode of the podcast, Cecilia speaks with Celine Liu, who transitioned from nonprofit coaching to leading global analytics at Uber. Celine’s story is a testament to how data is one of the most transferable and empowering skills across any industry.

 

Together, they explore the top three non-technical skills for success in data: everyday communication, strategic thinking, and business acumen. Celine shares how asking the right questions and understanding business context can amplify impact far more than technical expertise alone.

 

They also discuss the importance of fostering data literacy within organisations, how leadership influences data culture, and how to rethink AI as a useful tool. Celine wraps up with practical advice on finding your niche, shifting from doing to thinking, and staying proactive in the age of automation.

 

This episode promises motivation for anyone looking to grow or pivot in the world of data.

Ep.135 - Success in Data & Tech: Lessons from 30+ Years in the field

In this episode, Karen is joined by Dora Boussias, an Award-winning Data & AI Exec & Founder with 30 years of experience across industries. Dora shares her journey from Greece to the USA., and from corporate leadership to full-time coaching and mentoring. 

  

Together, they explore the importance of soft skills in a data-driven world—especially communication, self-awareness, and personal branding. Dora reflects on managing imposter syndrome, differentiating yourself beyond technical skills, and the importance of understanding stakeholder needs to drive impact. 

  

They also dive into topics like career negotiation, building confidence through small steps, and how to future-proof your role in the age of AI. With memorable personal stories and thoughtful insights, Dora encourages listeners to find their voice, know their value, and lead with authenticity. 

This episode is a must-listen for anyone looking to grow, pivot, or lead with more purpose in the data space 

Ep.134 - The Path to Data Leadership: Skills, Challenges, and Growth Strategies for Every Career Stage

In this episode, Caroline Florence, founder of Insight Narrator, discusses the essential non-technical skills required to become a leader in data, and what they look like and evolve at every stage of one’s career. She emphasises that being a data leader is about leadership first, with transferable skills like communication, influence, and managing teams becoming even more critical in the AI era. Caroline highlights the challenge for data leaders in letting go of technical tasks to focus on vision-setting, empowering teams, and influencing across organisations. 

She touches on the loneliness that can come with data leadership, stressing the importance of peer networks and community support. Caroline also introduces Women in Data’s LEAP program, designed to help future leaders develop these skills and advance authentically in their careers.  

Ep.133 - From Risk Analyst to Data Leader: Bindu's Journey and Key Career Lessons

In this episode of Women in Data, Bindu Bakrania, Head of Data Analytics for Capital Investments at Legal & General shares her journey from a risk analyst to heading an entire Data Analytics team. 

  

She discusses the importance of strategic career moves, embracing sideways transitions, and stepping into business roles to gain a broader perspective. Bindu highlights networking, leadership development, and the importance of managing imposter syndrome. She also discusses time management and prioritisation for effective leadership. Listen to this episode for valuable insights on navigating a career in data, advocating for women in the field, and fostering a strong data culture in organizations. 

Ep.132 - Should You Stay or Walk Away? Making the Toughest Career Decision

This episode explores the tough decision of staying in or leaving a role. Karen Is joined by Marli van der Merwe and Rianna Kelly share personal experiences, discussing career growth, work environment, and well-being.  

Marli, a Data Engineer, had only been in the UK for a few months when she decided to leave her role. 

Rianna, a Senior Manager for Data Analytics Engineering, on the other hand decided to stay when she found herself in an organisation where uncertainty was constant. 

The episode offers a structured approach to decision-making, considering non-negotiables, financial and emotional factors. It also addresses external constraints like visa status and how circumstances may affect your decisions on your career. 

 

Ep.131 - How Data Teams and Stakeholders Can Work Better Together

Collaboration between data teams and stakeholders isn’t always smooth. Misaligned expectations, shifting requirements, and a lack of mutual understanding can lead to frustration on both sides. 

  

In this cohosted  episode, Karen and Cecilia dive into the key challenges data teams face when working with stakeholders —and, more importantly, how to overcome them. They share practical strategies to: 

• Get stakeholders to bring problems, not just predefined solutions 
• Align expectations early and avoid last-minute changes 
• Build empathy and trust between technical and business teams 

 

Tune in for actionable insights that will help you work better with stakeholders and maximise the value of data analytics!