LEAD WITH DATA Podcast

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Where we explore the career stories & experiences of some of the most successful people in the field of Data and Analytics.

  1. Season 6 - Episode 6 - Moneyball for Golf: How a lean team can punch above it's weight!

    6월 23일

    Season 6 - Episode 6 - Moneyball for Golf: How a lean team can punch above it's weight!

    Moneyball for Golf: How a Lean Team Can Punch Above Its Weight Lead with Data, with Jarred, Head of Data and Intelligence at Golf Australia Most data leaders inherit a mandate from the board, a budget and teams they control. Jarred has none of that in the traditional sense. He runs the data function for a national sporting body, which means the data he works with is created by clubs and third parties he doesn't control, the team is lean and the budget is nowhere near enterprise scale. He still built one of the most strategically mature data capabilities in Australian sport. This one is for you whether you lead a data function on tight constraints, or you just want to know how data is quietly reshaping the game. What we get into: Why owning your data end to end matters more than the shiny front end, and why the most important work happened under the hoodMigrating 25 years of legacy data with almost no documentation and what that actually takesHow Golf Australia moved from subjective, intuition led athlete decisions to models built on a decade of historical outcomesRunning a serious data capability with a lean teamThe half a million handicaps behind one of the most personal datasets in the country If you have ever argued about your handicap, that is Jarred's data. Find Jarred on LinkedIn, where he is happy to chat about any of this.

    52분
  2. Season 6 - Episode 5 - "The Insurance Nobody Wants: Why Data Governance Matters Now" with Belinda Toniolo

    6월 9일

    Season 6 - Episode 5 - "The Insurance Nobody Wants: Why Data Governance Matters Now" with Belinda Toniolo

    Data governance has stopped being about rules and started being about survival. In this episode, Belinda walks through how her team shifted from gatekeeper to guide pairing technical and business minds, educating instead of enforcing, and learning to say no to perfection. We talk about what actually works when you're moving at speed, how AI forced organisations to finally care about data quality and the honest part nobody mentions: what it feels like to be seen as the insurance policy nobody wants to buy.

    52분
  3. Season 6 - Episode 4 “Build, Ship, Improve” - The Commercial Mindset Behind AI That Reaches Real Customers" with Tracy Moore

    5월 25일

    Season 6 - Episode 4 “Build, Ship, Improve” - The Commercial Mindset Behind AI That Reaches Real Customers" with Tracy Moore

    In this episode, I sit down with Tracy Moore, GM of AI and Data at MYOB, for one of the most refreshingly honest conversations I've had about what it takes to build AI products that reach real customers. Tracy and her team have been quietly doing the hard work of shipping AI to millions of small businesses across Australia and New Zealand and the lessons they've learned along the way are ones every data and AI leader needs to hear. We talk about why most AI initiatives stall before they ever get shipped, the difference between exploring and actually building and why having a commercial mindset is the thing that changes everything. Tracy also shares how why treating data and AI as a team sport has been central to their success. If you've ever felt like your organisation is stuck between experimentation and real impact this one is for you. 🎧 Listen to the full episode on Spotify or Apple Pod (Links in the comment below)

    43분
  4. Season 6 - Episode 3 - "The one question that changed HR’s influence on business performance forever" with Sarah Novelli

    5월 12일

    Season 6 - Episode 3 - "The one question that changed HR’s influence on business performance forever" with Sarah Novelli

    HR doesn’t lose influence because it lacks insight. It loses influence because it talks in the wrong language. In this episode of Lead With Data, we speak to a senior business executive who didn’t come from a data background like our usual guests but fundamentally changed her seat at the table by doing one thing differently: connecting workforce data directly to revenue, margin and productivity. No dashboards for show. Just data translated into decisions executives actually care about. This conversation shows what happens when people metrics stop being “HR numbers” and start being business performance indicators. If you work in HR, people and culture or any function that wants to influence outcomes, not just report activity, this one is worth your time. Key takeaways People data is business performance data, not HR reportingVacancies aren’t an HR problem, they’re delayed revenueIf you can’t link initiatives to margin or productivity, they won’t get tractionInfluence comes from translation, not more dashboards

    46분
  5. Season 6 - Episode 2 - “Why data and AI teams need translators not just tools” with Clare Kitching

    4월 27일

    Season 6 - Episode 2 - “Why data and AI teams need translators not just tools” with Clare Kitching

    Why Data Teams Need Translators, Not Just ToolsIn this episode of Lead With Data, Rina Gami sits down with Clare Kitching, a senior data leader who works closely with organisations navigating complex data and AI decisions. The conversation explores why many data and AI initiatives stall and not because of tooling gaps. The conversation unpacks how data teams are navigating generative AI, agentic AI and increasing pressure to move quickly, often without the shared language, context and alignment required to succeed. Clare shares what she is seeing first-hand across organisations grappling with executive expectations, shadow AI, governance concerns and the widening distance between technical teams and business leaders. This episode focuses on the growing importance of translators in data teams' people who can bridge strategy, technology and value and what leaders should be paying attention to before scaling AI. In this episode, we cover: Why tools alone do not solve AI and data challengesThe shift from traditional data initiatives to generative AI and agentic-based AIThe critical role of senior executive sponsorship in AI successHow translators help close the gap between technical teams and the businessPractical ways organisations can start or scale AI responsiblyEvolving roles in data teams, including analytics translators and AI governance specialistsCommon challenges such as shadow AI, data quality and organisational buy-inIndicators that signal true readiness to scale AIWhy value-led AI initiatives matter more than experimentation Timestamps00:00 – AI as a high-return capability in modern data teams 01:32 – Claire’s career journey and move into consulting 03:16 – What has changed in data and AI over the last five years 04:00 – Where organisations are really at in their AI journeys 05:24 – Pressure to move quickly and what gets missed 06:03 – Executive sponsorship and its impact on outcomes 07:30 – Data team structures and emerging gaps 08:53 – Organisational barriers to AI adoption 10:38 – Shadow AI and responsible use 12:34 – Initial assessment points when working with organisations 14:47 – Asking the right questions to align AI to value 17:11 – Why communication is now a core data capability 19:09 – Telling the data story in a way the business understands 22:18 – Structuring data teams for sustainable AI outcomes 25:26 – Evolving roles across data, engineering and governance 28:11 – Everyday AI, generative AI and agent AI explained 32:21 – Leadership priorities when advancing AI initiatives 33:49 – Signs an organisation is ready to scale AI responsibly 35:11 – Maintaining momentum without creating risk 36:08 – Hiring for AI capability beyond technical skills 38:25 – When and why to involve external expertise 41:17 – The value of an external perspective 44:48 – Avoiding stagnation in AI programs 45:27 – Communication and storytelling as critical capabilities 46:16 – Leadership alignment and organisational readiness 46:44 – Final reflections and next steps Resources & LinksExperian Data Studio – supporting stronger data governance and trustClaire Kitching Linkedin Website - cambiq.com.au

    47분
  6. Season 6 - Episode 1 - Why "fail fast" is a powerful mindset if you want to succeed in Data Innovation

    4월 13일

    Season 6 - Episode 1 - Why "fail fast" is a powerful mindset if you want to succeed in Data Innovation

    In this episode, Nick Jameson shares his journey from aerospace engineering and defence to data leadership. He discusses why the fail fast mindset is important for Data Innovation, how high-stakes environments influence building resilient data platforms, the importance of problem-solving, stakeholder engagement and managing technical debt. Gain insights into effective leadership, balancing innovation with foundational stability and the future of data engineering and analytics. Data Engineering, Data Leadership, High-Stakes Environments, Data Platforms, Analytics, Tech Debt, Leadership, AI, Data Strategy Key topics: Transferable skills from aerospace to dataBuilding resilient and scalable data platformsManaging technical debt and platform maturityLeadership principles in data teamsThe impact of AI and emerging technologies Chapters 00:00 Embracing Opportunities and Learning from Failure 02:50 Transitioning from Aerospace to Data Analytics 05:58 Core Principles from High-Stakes Engineering 08:33 Decision-Making Under Pressure 11:41 Balancing Processes and Flexibility in Data Analytics 14:36 Managing Expectations and Prioritization 17:16 Building Robust Data Platforms for Future Challenges 20:04 The Interplay of Data Engineering and Advanced Analytics 22:25 Building Robust Data Pipelines 23:23 The Risks of Premature Analytics 25:46 Challenging Assumptions in Data Teams 27:16 Balancing Investments in Data Tools 28:43 Leadership Lessons from Engineering 31:03 Managing Stress in Leadership 34:38 Advice for Nonlinear Moves into Data 36:07 Building a Modern Data Platform 38:26 Investing in People as a Leader 40:15 The Future of Data Engineering and Analytics Resources Experian Data Solutions Nick Jameson on LinkedIn

    39분
  7. Episode 20 - AI at the tipping point: Governance, Trust and ROI

    2025. 12. 02.

    Episode 20 - AI at the tipping point: Governance, Trust and ROI

    As we wrap up the final episode of Season 5 of the Lead with Data podcast, we explore why so many AI pilots fail. Joining me is Noel Hanssens, and together we unpack the biggest challenges organisations face when implementing AI, including governance gaps, misconceptions and misalignment with strategy. We also discuss the need for AI literacy across teams and the critical role of CFOs in guiding AI investments. Packed with real-world insights, this episode highlights how to unlock AI’s potential while keeping implementation responsible and strategic.

    43분
  8. Episode 19 - The Data You Don’t Control Controls You with Pushkar Mishra

    2025. 11. 18.

    Episode 19 - The Data You Don’t Control Controls You with Pushkar Mishra

    Joining me in this week’s episode is Pushkar Mishra, who brings sharp insights into the powerful connection between data risk, governance and organisational transformation. Pushkar shares why neglecting data quality can be costly, how engaging stakeholders effectively can showcase the true business value of data governance and the pivotal role data champions play in driving change. We also dive into the ethical implications of AI and the emerging risks shaping the future of data management. This episode is packed with actionable insights for leaders looking to turn data governance into a strategic advantage that fuels growth and innovation. Key topics we discuss include: The Interconnection of Transformation and Data RiskChallenges in Perception of Data GovernanceThe Cost of Ignoring Data GovernanceExecution Challenges in Data Governance StrategiesUnderstanding Business Value in Data GovernanceFuture Data Risks and Ethical Considerations

    43분
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Where we explore the career stories & experiences of some of the most successful people in the field of Data and Analytics.

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    Konnexus
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    2024년 - 2026년
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    LEAD WITH DATA Podcast