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!

In this episode of Data Analytics Chat, host Ben Parker speaks with Aaron Hand, Chief Artificial Intelligence Officer at ArcelorMittal, about the reality of life in the C-suite.

Drawing on his experience in data roles at UBS and Holcim, and now leading AI strategy at a global giant, Aaron shares unfiltered insights into what makes or breaks a modern CDO.

You'll learn:

• What a typical day looks like at CDO/ CAIO level
• How to balance innovation, governance, and delivery
• The pressure of expectations vs. the pace of real change
• Why most CDOs don’t last more than 18 months — and how to beat the odds
• The importance of domain knowledge, adaptability, and listening
• How selling cement via WhatsApp became a game-changer
• Why “AI-first culture” must be more than just talk

00:00 Introduction and Guest Welcome

00:41 Aaron Hand's Early Career Journey

02:26 Transition to AI and Big Data

03:38 Career Progression at UBS

05:21 Leading AI at Holstein

07:28 Role and Responsibilities of a CAIO

16:39 Challenges and Strategies in AI Implementation

25:27 The Importance of Good Management and Mentorship

26:11 Learning to Listen and Building Trust

26:44 Innovative Solutions and Team Collaboration

28:06 The Role of Workshops and Hackathons

29:34 Adapting Strategies and Embracing Flexibility

35:48 The Power of Podcasts and Continuous Learning

40:04 Facing Setbacks and Building Resilience

43:16 Reflecting on Career Achievements and the Journey

46:19 Final Thoughts and Encouragement

Thank you for listening!