In this episode of Data Analytics Chat, Ben Parker chats with Gerrit Grotewold, Head of Personalisation at BMW Research, to explore what it takes to build a long, impactful career in data and AI.

With his career at BMW, Gerrit shares how he transitioned from electrical engineering into AI leadership, the key challenges he faced stepping into management, and the learning habits that keep him ahead.

👉 Whether you’re a data professional just starting or an experienced expert, this episode is packed with great insights to help you grow and learn.

You’ll learn:

• How domain knowledge gives you a competitive edge in data
• Why curiosity and soft skills matter more than ever in tech
• How to stay relevant in the age of LLMs and AI disruption
• Practical tips for transitioning from technical expert to people leader
• The mindset shift required to grow your career and enjoy the journey

00:00 Introduction and Guest Welcome

01:06 Gerrit's Early Career and Education

01:43 Joining BMW and Career Growth

02:53 Transition to AI and Data

03:40 Passion for the Automotive Industry

05:22 Key Career Moments

08:00 Challenges and Overcoming Them

09:21 Management Transition

13:01 Skills and Traits for Success

17:28 Continuous Learning and Staying Relevant

21:18 Career Advice and Reflections

27:28 Pride in Achievements

28:27 Conclusion and Farewell

Thank you for listening!

In this episode of Data Analytics Chat, host Ben Parker sits down with Sassoon Kosian, Corporate Vice President of Data Science at New York Life, to explore the journey from early challenges in physics to becoming a leader in the data and AI space.

Gain insights into managing high-performing teams, staying relevant in a fast-paced industry, and navigating corporate politics.

Key topics include:

• Navigating a career shift from consulting to in-house leadership.
• Overcoming “orphan initiatives” and creating impactful data solutions.
• Essential skills for data science success: strategic thinking, technical depth, communication, and adaptability.
• Staying ahead in the fast-moving world of GenAI.
• Building strong, trusted relationships with business stakeholders.

00:00 Introduction and Guest Welcome

00:40 Career Journey and Early Interests

02:26 Transition to Data Science and Consulting

04:10 Current Industry Challenges

06:56 Key Career Moments and Management Transition

13:04 Challenges in Large Organisations

16:32 Skills for Leadership in Data Science

20:53 Staying Relevant in a Fast-Paced Industry

23:14 Job Market and Advice for Aspiring Data Scientists

25:55 Proudest Achievements and Building Relationships

27:45 Conclusion and Final Thoughts

Thank you for listening!

Is ethical AI just a buzzword?

In this episode of Data Analytics Chat, host Ben Parker chats with Mark Brady, Deputy Chief Data Officer at KBR, who reveals the real risks behind today’s AI systems and why most organisations are unprepared.

Mark breaks down the Six Laws of Safe AI, a practical, no-fluff framework for securing the future as AI gains power, autonomy, and physical-world access.

We also discuss:

• Why “data science” today feels more like alchemy
• The broken culture of data hoarding in organisations
• What hiring managers are getting completely wrong
• How to spot real AI danger before it’s too late
• Why transparency and interoperability are non-negotiable

Episode Breakdown:

00:00 Introduction and Guest Welcome

00:34 Mark Brady's Career Journey

02:01 Transition to Leadership

02:57 Key Moments in Data Science

07:35 Challenges in Data Management

11:56 Hiring the Right Data Scientist

18:15 AI and Security Concerns

23:58 Future of AI and Defensive Measures

34:56 Conclusion and Upcoming Events

Thank you for listening!