LEAD WITH DATA Podcast

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.

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)

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 takeawaysPeople 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

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 experimentationTimestamps00:00 – AI as a high-return capability in modern data teams01:32 – Claire’s career journey and move into consulting03:16 – What has changed in data and AI over the last five years04:00 – Where organisations are really at in their AI journeys05:24 – Pressure to move quickly and what gets missed06:03 – Executive sponsorship and its impact on outcomes07:30 – Data team structures and emerging gaps08:53 – Organisational barriers to AI adoption10:38 – Shadow AI and responsible use12:34 – Initial assessment points when working with organisations14:47 – Asking the right questions to align AI to value17:11 – Why communication is now a core data capability19:09 – Telling the data story in a way the business understands22:18 – Structuring data teams for sustainable AI outcomes25:26 – Evolving roles across data, engineering and governance28:11 – Everyday AI, generative AI and agent AI explained32:21 – Leadership priorities when advancing AI initiatives33:49 – Signs an organisation is ready to scale AI responsibly35:11 – Maintaining momentum without creating risk36:08 – Hiring for AI capability beyond technical skills38:25 – When and why to involve external expertise41:17 – The value of an external perspective44:48 – Avoiding stagnation in AI programs45:27 – Communication and storytelling as critical capabilities46:16 – Leadership alignment and organisational readiness46:44 – Final reflections and next stepsResources & LinksExperian Data Studio – supporting stronger data governance and trustClaire Kitching Linkedin Website - cambiq.com.au

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 StrategyKey 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 technologiesChapters00:00 Embracing Opportunities and Learning from Failure02:50 Transitioning from Aerospace to Data Analytics05:58 Core Principles from High-Stakes Engineering08:33 Decision-Making Under Pressure11:41 Balancing Processes and Flexibility in Data Analytics14:36 Managing Expectations and Prioritization17:16 Building Robust Data Platforms for Future Challenges20:04 The Interplay of Data Engineering and Advanced Analytics22:25 Building Robust Data Pipelines23:23 The Risks of Premature Analytics25:46 Challenging Assumptions in Data Teams27:16 Balancing Investments in Data Tools28:43 Leadership Lessons from Engineering31:03 Managing Stress in Leadership34:38 Advice for Nonlinear Moves into Data36:07 Building a Modern Data Platform38:26 Investing in People as a Leader40:15 The Future of Data Engineering and AnalyticsResourcesExperian Data SolutionsNick Jameson on LinkedIn

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.

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

Joining me in this week’s episode is Mark Sergeant he offers a candid perspective on why managing technical debt requires more than quick fixes; it demands strategic thinking and collaboration.Our conversation dives into:- Measuring and managing technical debt effectively- Building transparency between data teams and business leaders- Adopting a thoughtful approach to modernisationMark also shares practical advice on tackling visible pain points first and ensuring data initiatives deliver consistent, long-term value. For data and technology leaders, this episode provides actionable insights to balance innovation with sustainability and drive meaningful business outcomes.

In this episode, I sit down with Lucas Dahan to unravel the complexities of building and retaining effective data teams. We tackle the challenges of high staff turnover and explore how shifting from a support to a product mindset can transform team dynamics. Lucas shares his insights from working across different sizes of organisations, from scale-ups to large corporates, emphasising that no matter how big or small, you can still transform your teams. Join us for a conversation that might just get you to rethink and reshape your approach to running your data teams.Key Topics:The Structure and Challenges of Data TeamsThe Shift from Support to Product TeamsImplementing Change in Large OrganizationsTransforming Engineering MindsetsShifting from Reporting to Problem SolvingFostering Ownership and AccountabilityManaging Diverse Skill SetsEmpowering Team Members for Ownership

In this episode of the Lead with Data podcast, I sit down with Martin Soley to talk data governance and unlocking business value. We discuss the complexities and challenges organisations face, the importance of aligning governance with business strategy and the evolving role of data governance leaders. Martin shares insights on the importance of engaging with business owners and where using technology can improve data quality. The conversation highlights the need to understand business drivers to show the value of data governance and why you can’t afford not to do this.Key TakeawaysData governance can often feel like a box-ticking exerciseOrganisations face various challenges in data quality and governanceCommon mistakes include lack of buy-in and misalignment with business goalsData governance should be part of the business cultureEffective governance is about turning data into actionable knowledgeEngaging with business owners is crucial for data insightsTechnology can help automate data quality processesCommunication skills are essential for governance leadersThe future of data governance will require more business literacy

In this episode, I sit down with Danny Sittrop, GM of Advanced Analytics, and we talk about his unconventional journey from engineering to data leadership. Our conversation gets into how curiosity, resilience, and a willingness to fail forward shaped his career and how flow, focus and empathy drive impact in the analytics space. Whether you're a technical expert or a business professional, this candid conversation offers insights into building a meaningful career in data providing reassurance and tips to those thinking about a pivot to analytics or those who may be facing some of these hurdles.

In this episode, I am joined by Sridhar Deenadayalan, a seasoned AI and cloud strategist with deep expertise in helping organisations navigate digital transformation through practical, scalable adoption of artificial intelligence and machine learning. We unpack the journey of AI adoption what it really takes to get started, and where it’s all heading. We explore the practical steps organisations need to take, from building strong data foundations to navigating the shifting roles brought on by AI. Along the way, we bust a few myths and share insights on how to make AI work in the real world. Whether you're just starting out or already deep in the data, this one's worth a listen.

In this episode, I sit down with Simon Kriss, the owner and Chief AI Officer of a boutique advisory firm that provides guidance to modern businesses wanting to grow their understanding of AI while ensuring it is done ethically and safely. Our discussion gets into the fascinating intersection of technology and humanity, exploring how artificial intelligence is reshaping our world while maintaining a human touch. Join us as we uncover stories of AI-driven innovations that prioritise empathy, creativity, and human connection. From healthcare to education, discover how AI is enhancing our lives by understanding and responding to our unique needs. Tune in to explore the heartwarming and thought-provoking aspects of AI that remind us of the power of human ingenuity.

On the show today, I’m joined by Kavitha Dhanraj, a highly respected data executive who has led global teams and delivered large-scale outcomes for some of Australia’s most recognised organisations.Kavi expertise spans across driving data strategies, developing innovative data products and building high performing data teams.She is passionate about solving complex problems, optimising operations at scale, and navigating the ever-evolving tech landscape. Kavi is also a strong advocate for women in data and tech and championing greater diversity and inclusion across the industry.In this episode, we explore the challenges of aligning data strategies with business objectives, particularly the gap that often exists between executive expectations and ground-level realities. Kavi shares insights from her own career, touching on the importance of shared understanding, cross-functional collaboration, and taking a truly holistic approach to data strategy.Key themes we cover include:• Aligning data strategy with business goals• Common challenges in data management• The evolving role of AI and technology• Building strong cross-functional partnerships• Driving cultural and foundational change

In this week’s episode, Pamela Moodley joins us to share her journey from a Big 4 firm to modern consulting firm Slalom, along with her perspective on how data and AI are becoming increasingly embedded in business strategy. She also reflects on the role an external partner can play in supporting this shift. We explore the challenges organisations face in translating technical capability into measurable outcomes, the importance of pragmatic governance, and how engaging a consulting partner at any stage of the journey can help build internal capability over time. Pamela emphasises the need to align technology investment with business goals, the strategic value of pilot projects, and we touch on how AI is reshaping decision-making across industries. This episode is full of practical insights for data professionals and business leaders looking to drive real impact, improve alignment, and navigate the rapidly evolving world of enterprise technology.

In this week’s episode, Rina Gami and Peter Jones join to unpack the pervasive hype surrounding AI and reflect on its far-reaching implications for businesses and society. The conversation explores the challenges organisations face in adopting AI, the importance of building trust in emerging technologies, and the critical need for responsible AI governance.Peter shares lessons from his entrepreneurial journey, offering a grounded perspective on both the exciting innovations and the potential risks tied to AI. Rina and Peter also touch on the growing conversation around sovereign AI and why it’s essential to stay focused and pragmatic amidst rapid technological change. This episode offers actionable insights for leaders and professionals looking to adopt AI thoughtfully and drive responsible innovation in the age of automation.

In this week’s episode, Simon Spencer and Lisa Schutz join to unpack the concept of Sovereign AI and what it means for Australia’s future. The conversation explores the cultural, ethical, and economic implications of AI, highlighting the importance of building and localising AI capabilities within Australia. Simon and Lisa stress the risks of outsourcing AI development and the critical role of human oversight in shaping responsible AI systems. They also reflect on how government and industry can collaborate to drive innovation while safeguarding national interests. This episode offers timely insights for leaders and technologists navigating the complex landscape of AI sovereignty and its impact on Australia's digital future.

In this episode, Rina Gami interviews Ain Beruldsen, who transitioned from corosion engineering to data analytics. They discuss the importance of storytelling in data, the shift from reactive to proactive problem-solving, and the need for collaboration in building a data-driven culture. Ain shares insights on establishing a Data Centre of Excellence and navigating business challenges with data. The conversation highlights the future trends in the utilities sector and the importance of continuous improvement and learning in data roles.

In this week’s episode, Dave Jukes a Digital Analytics Manager joins to share his journey from marketing to data analytics and reflect on the evolving role of data teams in modern organisations. The conversation delves into the power of storytelling with data, the importance of strong stakeholder engagement, and how data can elevate the customer experience. Dave emphasises the need for data teams to shift from being seen as executional support to becoming strategic business partners. This episode offers actionable insights for data professionals looking to overcome common roadblocks and navigate the future of digital analytics in the age of AI.

In this week’s episode, Kaushik Lakshman, a seasoned data science leader with a wealth of experience driving innovation through data shares his career journey and offers a look into the evolving role of data science in today’s business landscape. The conversation explores the importance of domain expertise, the challenge of bridging the gap between technical and commercial teams, and what it takes to lead high-performing data teams. This episode offers practical insights for everyone including data science leaders aiming to build impactful, future-ready data science teams.

In this week’s episode, Simone Occulate, a seasoned data management leader, joins to discuss the complexities of data governance and cross-department collaboration. Simone shares her extensive experience in the field, emphasising the importance of identifying data pain points and fostering strong relationships across teams. She reflects on common misconceptions about data governance, the evolving role of data professionals in the age of AI, and the necessity of building a data-driven culture. She highlights the critical need for effective communication and compliance awareness, offering valuable insights for organisations striving to strengthen their data governance strategies.00:00 Introduction to Data Governance and Collaboration02:45 The Importance of Data Governance03.32 Misconceptions About Data Governance08.35 Driving Collaboration in Data Governance11.20 Building Relationships for Effective Data Governance17.56 Practical Examples of Collaboration25.27 Will AI change the role of Data Governance

Joining me in this week’s episode is Luke Russell, a data analytics leader who transitioned from electrical engineering to the world of data. In this episode, Luke shares his journey and highlights the critical role of data teams in driving business value beyond just generating reports.Our conversation explores the challenges data teams face in proving their impact, the shift from order-taking to proactive problem-solving, and the importance of deeply understanding business needs. Luke also discusses the significance of productionising analytics and fostering a culture of innovation within data teams. This episode provides valuable insights for leaders looking to build data teams that are both strategic and impactful.00:00 Introduction to Data Team Value08:21 Understanding Data Team Challenges14:48 Shifting from Order-Taking to Problem-Solving19:55 Evaluating Dashboard Efficiency20:54 Becoming Indispensable in Data Teams22:02 Shifting Mindsets: From Development to Outcomes23:49 Cultivating Inquisitive Problem Solvers25:58 Creating a Culture of Innovation26:59 The Importance of Language in Data Communication29:49 Productionising Analytics and Enabling Autonomy35:37 Key Takeaways for Data Leaders

Joining me in this week’s episode is Luis Harringhton, an expert in data leadership with extensive experience in building scalable and adaptable data environments. In this episode, Luis discusses the importance of establishing strong data foundations and the significant costs of poor data strategies. He emphasises the critical role of change management in ensuring successful data initiatives.Our conversation explores the challenges organisations face in balancing quick wins with long-term scalability while navigating rapidly changing technologies. Luis shares valuable insights from his career, offering advice for leaders looking to build data environments that are both flexible and future-proof. This episode provides actionable guidance for organisations striving to create resilient and effective data strategies.00:00 Building Scalable Data Environments08:56 The Cost of Poor Data Foundations14:27 The Importance of Change Management19:20 Successful Data Strategies in Action23:18 Navigating Technology Changes28:27 Balancing Quick Results with Long-Term Goals

Joining me in this weeks episode is Shehan, a seasoned data leader with extensive experience in guiding organisations through data-driven transformations. In this episode, Shehan discusses the critical importance of proving the value of data initiatives within organizations. He reflects on his career journey in data leadership, sharing insights on how to demonstrate both tangible and perceived value to secure executive buy-in.Our conversation dives into the challenges of overcoming resistance from executives, the significance of building a strong data team brand, and the necessity of diverse skill sets within data teams. Shehan also highlights the role of effective storytelling, managing expectations, and the importance of continuous communication in navigating challenges and failures. This episode offers valuable advice for data leaders seeking to enhance their influence and effectiveness in their organisations.00:00 Proving the Value of Data Initiatives01:26 Shihan's Career Journey in Data Leadership04:37 Challenges in Demonstrating Data Value07:32 Overcoming Executive Resistance to Data Initiatives10:53 Building Team Brand and Skills13:08 The Importance of Team Structure17:48 Identifying and Nurturing Talent21:08 Creating Perceived Value from Tangible Outcomes24:54 The Role of Storytelling in Data29:11 Building Collaboration Across Teams32:43 Managing Expectations for Data Projects35:21 Embracing Failure and Learning38:43 Advice for Data Leaders Seeking Buy-In

On this weeks episode, I was joined by Ben Pattison, an experienced executive data leader with a diverse career spanning multiple industries, including financial services, manufacturing, transportation, and, most recently, the travel sector. With extensive expertise in data strategy, analytics, and governance, Ben has a proven track record of driving data-driven decision-making, scaling advanced analytics, and delivering commercial value across complex organisations. During our discussion, he shared his journey and insights from leading data initiatives across various sectors. We delve into the challenges and opportunities of applying data strategies in diverse industries, such as overcoming the complexities of legacy systems and scaling advanced analytics. Ben also highlights the importance of balancing federated and centralised data models while identifying the key factors for successful data adoption. What stood out most in our conversation was his practical approach—emphasising the value of not overcomplicating processes or reinventing the wheel, but instead embracing the existing environment and finding ways to drive value within embedded data systems.

On this epsiode of the Lead with Data podcast, I had the pleasure of sitting down with Zak Khan, Director of AI and Data, to explore what it really means for AI to drive business value.Zak brings a wealth of experience as a senior data leader, having worked across industries to help organisations harness the power of AI and data to solve complex challenges and deliver measurable outcomes. In our conversation, we covered how organisations can move beyond proofs-of-concept and technology implementations to create tangible business value, such as increasing revenue or reducing costs, why Data & AI initiatives often lose their business focus, and how to keep executives engaged throughout the journey. Given this is a current and common challenge, listen in to hear how you could navigate these obstacles and drive meaningful impact in your organisation.

Lead with Data Podcast – Season 4 - Episode 22 – “TheEvolving Data Scientist in an AI-Driven World”A question that comes up often is whether the role of a Data Scientist is changing or disappearing in the age of AI. To unpack this, I’m excited to welcome Dr. Maruf Hossain, one of the Global Top 100 Innovators in Data and Analytics 2024. As a pioneering leader in AI and data science in Australia, Dr. Hossain has delivered tangible business value across startups,enterprises, consulting firms, and government agencies. With a PhD in AI from The University of Melbourne, a master’s in software engineering, and an Honours in Mathematics, he’s more than qualified to discuss this topic. In this episode, Dr. Maruf Hossain explores the evolving role of the data scientist in an AI-driven world, discussing key shifts in skills, collaboration, and the impact of automation and no-code tools. Tune in to hear insights on the future of data science and how professionals can stay ahead of emerging trends and technologies.

In this episode of the Lead with Data podcast, I’m joined by Amit Agarwala to discuss the key topic of data migration, with a focus on governance and transformation. As more businesses shift to cloud environments, moving data between systems becomes increasingly complex. Amit is an experienced leader who brings a wealth of experience across a range of industries driving data and digital migration transformations. He shares his insights on how to navigate the challenges that come with data migrations, particularly through effective data governance and ensuring data quality. We cover common pitfalls, how to maintain data privacy during migrations, and the best practices for designing scalable and adaptable strategies. We also touch on how generative AI can improve the efficiency of data migrations. During our conversation Amit offers practical advice on selecting the right tools, overcoming obstacles, and ensuring the long-term quality and accessibility of migrated data.

On this episode, I was delighted to sit down with Nagender Chetti from Suncorp to unpack his remarkable career journey and gain insights into the strategies that have driven his success. With over 20 years of expertise in the Insurance, Financial Services, and Technology sectors, Nagender has made significant contributions to Suncorp over the past 16 years, where he has thrived in various senior data leadership roles. As a fervent advocate for leveraging data to drive strategic decisions and foster business growth, he has distinguished himself as a prominent leader in the data and analytics landscape.Nagender's career is defined by his unwavering commitment to excellence in data strategy, machine learning, artificial intelligence, data governance, advanced analytics, and business intelligence. Recently named one of the Top 25 Analytics Leaders by the Institute of Analytics Professionals of Australia, he continues to deliver impactful results through his visionary leadership and strategic insights.Join us to learn more about how he has navigated his career through his tenure and his path to leadership.

On this episode, I am excited to share a fireside discussion on Data Security. It’s quite scary when you realise how the amount of data available on us is making it easier for cybercriminals, which only highlights why this role will become more prominent. As data security becomes a crucial priority for organisations, we’re seeing the rise of dedicated data roles that focus entirely on safeguarding information. But what does a Data Security Specialist actually do? Where does this role fit within the wider data team?And how does it differ from traditional data roles?In this episode, I sit down with Aline Braganca, who made the transition from a traditional data role into data security. We discuss her journey, the evolving landscape of data security, and dive deep into the key responsibilities, challenges, and skills required for this vital role.Whether you’re curious about the rise of data security roles or considering this as a career path, this episode will provide valuable insights into how organisations are adapting to keep their data secure intoday’s complex environment.Tune in to learn more about what it means for the future of data careers.

In this episode, our conversation dives into the role of Business Intelligence (BI) in driving strategic value within organisations. We explore how to align BI with broader business goals, the essential roles for building a high-performing BI team, and the importance of balancing technical expertise with business insight. Our guest shares insights on where BI fits within the wider data ecosystem, the challenges of centralised vs decentralised BI models, and real-world examples of turning around BI projects that struggled to deliver.

Ever wondered what it really takes to deliver a large-scale data transformation? I had the privilege of sitting down with Bryn Goodey (Head of APAC Data Delivery for SEEK), who led the data transformation as part SEEK's Unification Program—a massive initiative that consolidated all of SEEK's online product and corporate systems for eight countries across the APAC region.In this episode, Bryn takes us through their journey, sharing key considerations, how they balanced the ongoing demands of the business with the project’s needs, and the obstacles they had to overcome. He shares valuable insights on key lessons learned, as well as potential pitfalls to avoid when managing such complex transformations.If you’re looking for practical takeaways on embarking on large-scale data transformations, this is the episode for you. 

Highly recommend listening to this episode of the Lead with Data Podcast where we have a fantastic discussion on the successes and challenges of leadership. Join me as I sit down with Simon Herbert – Group GM of Data & Insights at Ramsay Health Care, a seasoned leader with a diverse background spanning multiple industries. Simon has held leadership roles across various disciplines, including software engineering, data, managementconsulting, program management and transformation. In this engaging and light-hearted conversation, we delve into his leadership experience and what he believes builds high-performing and engaged teams. Whether you're an experienced leader or an aspiring leader, there is something for everyone on this episode

If you've ever wondered what analytics looks like within the industrial manufacturing sector, don't miss this episode.We're joined by Stephen Jarvis an experienced leader with extensive expertise in digital transformation and data science. Stephen has held significant roles in various well-known organisations, where he has led innovative global data and AI projects.In this episode, Stephen shares his insights and observations on advanced analytics and machine learning in the industrial manufacturing sector, offering real examples of how they are being adopted across the organisation.🎧 Tune in to this discussion where we explore how analytics is being leveraged and explore the potential within this industry..

We're delighted to bring you another engaging discussion with @Antony Ugoni. Antony is a seasoned Data Science Leader who has had a diverse career, starting as a biostatistician, then transitioning to lecturing, and ultimately establishing himself as a respected data leader.In this episode, our focus is on how, as a leader in data science or advanced analytics, you can demonstrate value. Antony shares real-life, simple yet impactful examples of how to identify and seize opportunities. Once again, we have a fascinating and insightful conversation that anyone can relate to to understand the power of analytics Key topics covered include:What businesses expect when hiring a Data Science LeaderHow to prioritise data initiativesIntroducing technologies to enhance the value delivered by data analyticsThe significant impact of AI on the value of data projectsThe importance of the relationship between data leaders and executive leadershipMeasuring and communicating success

Super excited to have been able to get some time with Craig Rowlands – GM of Data – Australian Unity to share his experience and talk through a range of topics. Craig has led large data transformation strategies with some of the largest organisations both here and overseas. One of my curiosities is once you get into leadership, how do you continue to have an impact each time you join a new organisation? Surely there is an expectation when you join a business, and understanding what that looks like and how to meet and exceed those expectations is a key part of the discussion we have on this episode.In addition to this we cover:Approaching data strategy in established businesses that have legacy systemsWhat Data Transformation and scalability meanSome of the biggest challenges he has facedHow Craig has improved diversity in his teams over the yearsWhat soft skills are important for aspiring data leaders

Join us for an insightful and candid discussion with Arjun Shankar, a seasoned data professional and leader. Arjun has a diverse background, having worked in a variety of roles across different data functions, and has implemented numerous cloud data platforms.In our conversation, Arjun shares his experiences and provides practical approaches for transitioning from on-premises to the cloud. He openly discusses some of the challenges and the importance of creating the right environment to drive this change.- What are the key considerations before starting this journey- How do you go about delivering the platform- What has worked well and what hasn't- The importance of having the right skills and team.- What does data engineering look like with Gen AI in the mix

A great discussion with Jeremiah Mannings, founder of Futuregrip AI, a data consultancy established to provide advisory and strategic support for introducing AI initiatives and incorporating AI into existing data strategies.Our conversation centres around a recent keynote that Jeremiah presented, but here we unpack the topic in more detail:The key challenges when it comes to Gen AIHow data leaders can demonstrate value and the narrative around AI when presenting to their executivesWhat do your board and executives care about and whyHow to set the environment for successWhy data leaders should place a huge focus on the creation of value

We’re really excited to have had Christian Biggs join us on the podcast to talk about the importance of preparing for the emergence and adoption of AI, especially with GEN AI in the picture.Christian is a seasoned data leader with years of consultancy experience and a track record of driving innovation and leveraging cutting-edge technologies to enhance data capabilities. He shares some of the challenges organisations are facing, even though we are still very early in the journey, and some of the strategies he is using to understand and integrate the use of GEN AI into their operations from a governance and privacy perspective.We cover:❓ What AI Governance means❓Steps organisations can take to prepare for AI❓How to choose the right AI tools and platforms❓What ethical risks organisations should consider when adopting AI❓Why organisations need to focus on AI learning, and not just for the data team

Welcome to another episode of the Lead with Data podcast. Today, we're joined by Antony Perera, a seasoned Chief Data Officer with a wealth of experience across a diverse range of organisations. Antony has worked in various industries, including health, telecommunications, and more recently, the education sector. Our topic of discussion today is cloud computing and managing costs.- We discuss the advantages and disadvantages of cloud computing.- With so many options available, how to choose the right one.- How to manage costs when it comes to cloud computing.Tune in to gain valuable insights from Antony’s extensive experience and tips on how to make the most of your cloud investments.

In this episode, we had the privilege of talking with Bhavisha Sharma, a seasoned Data Strategy and Transformation Specialist. With a robust background in implementing data transformation strategies across various sectors such as financial services, insurance, government, healthcare, and retail. Bhavisha is well-equipped to share useful insights gained from her extensive experience in both industry and consulting.During our enlightening conversation, we delved into:What comprises a solid data transformation journey.Some of the common challenges organisations encounter when implementing a data transformation strategy.Key steps necessary for executing and delivering a successful data transformation.How to quantify the benefits and value of data transformation efforts.Tune in to gain valuable insights into the world of data transformation in driving impactful change through strategically led data initiatives.

Join us as we delve into the topic of driving value through real-time analytics with Andre Easom, a seasoned Data Science Leader. With an academic background in research & statistics, Andre has dedicated the past decade to working with a well known organisation, playing a pivotal role in enhancing customer experience using data science to solve interesting problems and build leading products. In this fireside discussion, we'll explore:Examples of use cases where real-time analytics has significantly driven value.Strategies for driving customer value through the development of real-time analytics.The importance of data governance, data accuracy, and integrity in the context of real-time analytics.Advantages and disadvantages of implementing real-time analytics.Methods for measuring the success and effectiveness of real-time analytics initiatives.Key indicators that organisations should look for to determine their readiness for real-time analytics.Don't miss this opportunity to gain valuable insights from Andre Eason on how real-time analytics can help drive value when done well.

Join us as we sit down with seasoned data leader Fred Herselman who has spearheaded transformative initiatives for well-known global organisations. With a focus on robust governance and risk management, Fred has driven tangible results by leveraging AI to unlock new revenue streams and deepen customer connections. As an executive, Fred is committed to breaking down silos, fostering collaboration, and staying ahead of the curve in the evolving data landscape. In this episode, Fred shares his journey from being a data specialist to a data leader, our discussion includes:How he transitioned into leadership roles Navigating the temptation to remain hands-onTackling challenging situations where he felt out of his depthHow he maintained a balance between staying relevant and leading successful teams and organisations. This episode is a must-listen, particularly for those seeking guidance on forging their path to leadership, identifying key opportunities, and easing concerns about transitioning away from hands-on work.

In our most recent episode, we had the privilege of sitting down with Guy Inbar, Group Product Manager at Littlepay. With over two decades of experience in product management, innovation, and strategic leadership, Guy Inbar is a seasoned professional known for his dynamic approach to driving growth and spearheading transformative initiatives across a range of industries. Drawing upon Guy's extensive expertise in product management and data, we delve into the nuances of establishing a Data Analytics capability within a scaling and intricate environment of an organization like Littlepay, a growing fintech organisation. We cover:Where LittlePay Stands in Its Data JourneyIdentifying the Right Time to Enhance Data CapabilitiesDemonstrating Value Internally and ExternallyThe Relationship Between Product Management and DataThe conversation with Guy provides valuable insights into navigating the complexities of establishing a data analytics capability within a scaling organisation like LittlePay. By strategically timing investments, demonstrating value, and fostering collaboration between product management and data teams, organisations can harness the power of data to drive innovation and sustainable growth in today's dynamic business landscape.

Join us as we sit down with Chris Doyle, a seasoned Data Strategist, to explore the intricacies of implementing an effective data strategy. With over two decades of experience collaborating with prominent organisations, Chris brings invaluable insights into driving and delivering data strategies. Having worked across various industries such as technology, finance, and entrepreneurship, his has developed a wealth of data knowledge. Chris' acute understanding of emerging trends and disruptive technologies has positioned him as a thought leader in his field.On this episode of "Lead with Data," we delve into:Defining a robust data strategyImplementing a data strategy effectivelyEnsuring scalability and adaptability in data infrastructureOvercoming challenges in promoting data literacyStrategies for improving data literacy effectivelyJoin us for an insightful discussion that promises valuable takeaways for all, along with some bonus nuggets on how to apply data to make sound investment decisions.

Our guest on this episode is Alex Russo, Program Manager of Data and Analytics at Chisholm Institute, one of Victoria's largest TAFEs, serving over 35,000 students. With a rich history across various roles at IBM, Alex brings extensive experience in spearheading technology and data projects across diverse domains.As the Program Manager of Data and Analytics, Alex is at the forefront of driving strategy and orchestrating a complex program of work aimed at implementing cutting-edge analytics solutions at Chisholm Institute. Alex shares with us the approach he has taken to deliver this program of work and the key differences in managing data programs versus more traditional programs of work.Tune into this engaging episode, which will provide you with some key takeaways and help you understand the data analytics program landscape.

Angela Anthony shares her journey into leadership, drawing on over three decades of experience as an inspiring female leader in technology. She is currently the Executive General Manager of IT & Digital at DuluxGroup, Angela's career includes leadership roles at major corporations in Australia and across Asia. She provides invaluable insights into her path to leadership, inspiring listeners with her expertise and dedication to driving change and fostering diversity and inclusiveness.In this episode, we explore:Angela's motivation for entering the technology and digital fieldThe challenges she encountered early in her career while establishing herselfThe unique perspective that women bring to leadership roles, particularly in technology and digital domainsThe essential qualities for success as a leader when managing diverse teams across technology and digital functionsTune in as Angela shares her wisdom and experiences, offering guidance for aspiring leaders in the ever-evolving landscape of technology and digital innovation.

In our latest episode, we delve into the importance of Data Storytelling with our esteemed guest, Ivan Dennis. With over two decades of expertise in business intelligence and analytics, Ivan thrives on the challenge of transforming raw data into actionable insights that drive growth and innovation. Ivan is currently the Head of BI and Analytics at LMG, a prominent player in broker financial services, Ivan brings a wealth of experience to the table.Throughout his career, Ivan has amassed an impressive track record in analytics, budgeting, forecasting, commercial insights, change management, and project leadership. His leadership has been instrumental in spearheading numerous large-scale projects that have yielded substantial improvements in performance and profitability.Beyond his professional achievements, Ivan is deeply passionate about mentoring and empowering his team and stakeholders with state-of-the-art data analysis and visualization techniques. Join us as we explore the art of Data Storytelling with Ivan Dennis and discover how it shapes the landscape of business intelligence and analytics.

Joining us today is Nate Carpenter, the Director of Empathic Data Insights. His consultancy is dedicated to enabling technology to create transformative solutions that empower individuals, break barriers, and amplify the voices of those whose experiences shape our world.Our discussion today dives into a topic we're passionate about raising awareness for. We'll be unpacking an article Nate authored, delving into the Value of Lived Experience in Business Intelligence and Data. The insights shared shed light on how lived experiences significantly influence and drive analytics. It was an enlightening conversation, illustrating the profound impact personal experiences have on interpreting data effectively within this field.Nate's exploration truly emphasises the importance of integrating personal experiences into analytics, making the data not just informative but relatable and meaningful.

Ben Kuppe is the Director of Business Intelligence at Monash Health, one of Victoria's largest health services providers. With a decade of dedication to Monash Health, Ben shares his journey and the evolution of a thriving Business Intelligence function. We delve into the challenges, setbacks, and invaluable lessons that shaped this capability. We unravel the intricacies of building and sustaining a value driven Business Intelligence capability within a complex healthcare environment. A very insightful discussion that showcases how you can have wins and successes in building a data-centric culture.