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Julien Malidin shared thisA responsible AI program combines governance, compliance, and ethical principles to ensure AI aligns with business goals, manages risk, and builds trust. Explore key take-aways for building a responsible AI program: https://gtnr.it/3RXSZUn
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Julien Malidin reposted thisJulien Malidin reposted thisWhen AI becomes standard platform infrastructure, who actually controls the legal tech stack? Google's launch of Gemini Enterprise for Legal proves that legal software is leaving its silo. As these tools integrate into broader enterprise platforms, decisions around selection, governance, and budget are rapidly centralizing. In our latest Gartner First Take, Chris Audet and Josema de la Jara discuss what Google's announcement means for GCs and legal ops leaders. Full analysis for Gartner clients: https://lnkd.in/g4BVVq4f
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Julien Malidin reposted thisJulien Malidin reposted thisEvery AI Agent has a boss. Who that boss is determines the value the AI agent generates and how it must be governed. AI Agents are usually sorted by how they're built, when the most useful question is who they serve: -Personal agents: Act on behalf of an individual employee, within the individual’s own context, augmenting their work -Process agents: Act on behalf of a business process, conducting background tasks without usually interacting with humans -Role agents: Act on behalf of an enterprise business unit, playing a role within it (typically a subset of a full employee’s job) CIOs who manage all three the same way will misgovern them and fail to capture their unique value The full implications are covered in our new Gartner research: 3 AI Agent Archetypes: Who the Agent Works For Determines its Value and Governance (link in the comments). Written in collaboration with Hung LeHong, Ben Yan, Tong Zhang, Nate Suda, Helen Poitevin, and Erick Brethenoux. #ai #agents
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Julien Malidin reposted thisJulien Malidin reposted thisI am excited to share Gartner research: "Make Data Security a Top Priority to Improve Risk Management" 👉 https://lnkd.in/edaE4k8n AI is creating a dangerous reality for many organizations: Data exposure is growing faster than governance and security decision-making can keep up. Most leaders know they have a data security problem. Far fewer realize the root cause. The issue isn't a lack of controls. The issue isn't a lack of governance committees. And it's not a lack of collaboration between data and security teams. 🚨 The real risk may be hiding in the decisions nobody clearly owns. In our research, we found that many organizations continue to revisit the same questions about data access, classification, AI usage, and risk accountability over and over again. As agentic AI adoption accelerates, those unresolved decisions become increasingly expensive. What's particularly striking: Despite increased collaboration between data and security leaders, confidence in enterprise data security remains surprisingly low. More interaction has not necessarily translated into better outcomes. 🔎 One insight stood out above all others: The biggest data and AI risks are often created by misaligned decision authority, not missing technology. The organizations making the most progress aren't adding more governance. They're creating clarity. Clarity on ownership. Clarity on accountability. Clarity on who decides what when data, security, and AI priorities inevitably collide. 💡 The most important question for leaders may no longer be: "Do we have the right controls?" It may be: "Do we know who owns the decision when those controls become a barrier to business value?" The answer has enormous implications for AI scale, risk management, and executive confidence. 👉 Curious how leading CDAOs and CISOs are approaching this challenge? Read the full research here: https://lnkd.in/edaE4k8n I'd love to hear your perspective: What's the biggest source of friction between data governance, security, and AI initiatives in your organization today? #DataSecurity #AIRisk #AIGovernance #DataGovernance #CDAO #CISO #CIO #Cybersecurity #DataLeadership #ArtificialIntelligence Special thanks to my coauthors Guido De Simoni, Joel Backaler, Ray Collins, and Andrew Bales for their partnership on this research.Gartner | Delivering Actionable, Objective Insight to Executives and Their TeamsGartner | Delivering Actionable, Objective Insight to Executives and Their Teams
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Julien Malidin shared thisContracting consumes 21% of legal capacity, yet remains largely manual in many organisations 📑 That gap creates inefficiency and limits the impact of AI and new tools. This most liked on-demand webinar shows how to design a contract tech stack that delivers real business value: https://gtnr.it/4wcU6gV
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Julien Malidin reposted thisJulien Malidin reposted this✨ New Gartner Insight ✨ Uncertainty creates more than risk. It can also create opportunity, but most assessments only evaluate one side of the equation. 1️⃣ Problem: Many risk assessments focus primarily on downside exposure, limiting ERM's ability to support strategic planning, investment decisions, and growth initiatives. 2️⃣ The shift: Stop defining risks solely as threats. Instead, define them as uncertainties that may create downside exposure, upside potential, or both. 3️⃣ Why it matters: Evaluating both risk and opportunity gives leaders a more complete view of potential outcomes and helps improve resource allocation, innovation, and strategic decision making. 4️⃣ Solution: Expand existing risk assessments. Identify key uncertainty drivers, assess downside and upside impacts separately, and evaluate opportunity potential alongside residual risk to support better decisions. Gartner clients can access the full research via the link in the comments. #ERM #RiskManagement #Strategy #OpportunityManagement #EnterpriseRiskManagement #DecisionMaking
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Julien Malidin reposted thisJulien Malidin reposted thisNow Live: The Gartner Hype Cycle for Legal Technologies, 2026 ⚖️ This year’s research helps legal teams assess emerging technologies, weigh risks and benefits, and determine how best to incorporate them into legal technology roadmaps and strategic plans. See where Agentic AI, specialized legal tools, and core platforms land this year: https://lnkd.in/gVZ_XQgP
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Julien Malidin reposted thisJulien Malidin reposted this🚨 ATTN: #Leaders Responsible for #AI Governance (#CIO, #CDAO, #AILeader, #CISO, #GC) 💃 Gartner's Magic Quadrant for AI Governance Platforms (https://lnkd.in/gbTbatHB) is hanging on to the number 1, most read Magic Quadrant for an eighth consecutive week, per Andrew White's MQ tracker (link in comments) ❓ What does tell me? 💥 Organization's are deploying AI and are not realizing value from AI because of the governance gap so they are shifting to embedded governance to help close the gap 🚫 Four out of five organizations do not realize ROI from their AI initiatives, according to a recent Gartner survey. ✅ The one in five that DO realize value spends four times as much on data and context, governance and security, and people foundations as a percentage of revenue than those that are least satisfied. From Rita Sallam's recently published research on Gartner Theme: The AI Value Gap Is Really an AI Risk Gap. (link in comments) 🔥 Our clients are asking how to use an AI Governance Platform and layered technical control plane to close that gap and realize value from #AI Transformation 🫳 🎤 AI Governance =/= #GRC. Sumit Agarwal Nader Henein Brandon Medford Sripriya Sundararaman #AIGovernance #RiskManagement #AIValue #Compliance #ethics
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Julien Malidin shared thisWhile 86% of organisations pilot or deploy AI, only 18% of boards actively use AI tools. Boards must accelerate AI adoption to keep pace with enterprise innovation and safeguard AI oversight. To maintain high performance and credibility, GC must drive higher levels of AI adoption among directors. Learn more: https://gtnr.it/4pzYoh0
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Julien Malidin liked thisJulien Malidin liked thisWe're heading to Gartner ERAC! Come find us on-site. We'll be talking AI governance, autonomous testing, and the shift toward GRC Intelligence, and diving into how each is reshaping the way audit, risk, and compliance teams work, from cutting down manual work to building smarter, more proactive risk programs. (Some of our favorite things to talk about tbh.) See you there!
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Julien Malidin liked thisJulien Malidin liked thisIf you're a risk leader who combines strong expertise with practical judgement and enjoys solving complex problems with others, I'd love to hear from you. I'm looking for a Head of Enterprise Risk - Operations to join my team. You'll lead a talented team and play an important role in helping leaders across APRA make well-informed decisions through trusted advice, risk oversight and practical support.
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Julien Malidin liked thisJulien Malidin liked thisMy Journey Guide for Data & AI Literacy is now fully revised and updated. As AI adoption accelerates, failing to build data and AI literacy risks value realization, weaker governance, and limited workforce readiness. This guide supports CDAOs and other data & analytics leaders to deliver persona-based and role-oriented data, analytics and AI workforce enablement as a core business capability. Data literacy and AI literacy is not an “either/or” choice; it’s an “and master,” depending on which perspective you start from, but always with a common core: data. Gartner clients can access the full guidance here: https://lnkd.in/eizgNmQ8 Non-subscribers can find latest updates here: https://lnkd.in/eCsi8YBZ With thanks for the support and collaboration from colleagues Sally Parker and Sarah L. K. James #GartnerDA #CDAO #Leadership #Data #Analytics #AI #ArtificialIntelligence #DataLiteracy #AILiteracy
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Navid Sabetian
Infinity Pro • 30K followers
Sydney Tech Talent Snapshot 2025 Sydney’s tech market has shifted from the red-hot scramble of 2021–23 to a more balanced—yet still competitive—landscape. National unemployment is steady, which keeps overall hiring conditions stable even as employers get choosier. What’s hot (and why it matters) AI & data everywhere: Companies are folding AI into ops, customer service and analytics; demand concentrates in AI/ML engineering, data platforms, and product-led roles tied to measurable outcomes. Cloud + security remain critical: Cloud modernisation and cyber resilience continue to attract budget even as non-critical projects pause. Salary bands have normalised: Headline salary growth has cooled from 2022 peaks, but Sydney still commands premium bands Supply side signals Bigger candidate pools: Applications per job have climbed to record highs on SEEK, reflecting more active jobseekers and fewer total ads—giving employers more choice and longer shortlists. Tech workforce ~950k: Australia sits around 950,000 tech workers as of May 2025. That’s progress, but below the trajectory needed for the national 1.2m-by-2030 goal—keeping pressure on targeted skill development and smarter hiring. Talent access & visas Skills in Demand (temporary) visa settings: 2025 updates clarify employer pathways for hard-to-find skills, supporting Sydney firms that need niche capability fast—especially in AI, cyber and cloud. What Sydney employers are doing “Fewer, better” hires: Tight scopes, outcome-based role design, and rigorous skills validation to reduce mishires. Time-to-value focus: Prioritising candidates who can impact metrics (cost-to-serve, reliability, conversion, MTTR) within 90 days. Balanced comp: Competitive bases + performance components; less blanket inflation, more role-specific justifications. Build + buy: Targeted upskilling for internal teams paired with external hiring for scarce capabilities. What candidates are doing Evidence > assertions: Portfolios, public repos, metrics from shipped work, and hands-on AI/automation stories beat generic buzzwords. Career durability: Interest in roles with learning budgets, modern stacks, and clear problem ownership—especially where AI augments (not replaces) day-to-day work. Quick take for Q4-2025 Employers: You’ll see more qualified applicants but tougher signal-to-noise—refine your must-haves and tighten interview loops. Candidates: Tailor for impact, quantify outcomes, and show where you’ve used AI or automation to move key metrics. Everyone: Expect steadier conditions, selective growth budgets, and persistent pockets of hot demand in AI, data, security and cloud. Sources: Australian Bureau of Statistics — Labour Force, Australia (September 2025) Australian Bureau of Statistics — Detailed Labour Force data (September 2025) SEEK — “5 trends shaping work in 2025” Additional commentary on unemployment and labour market from Reuters.
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Jason Hokin
My Business HQ • 3K followers
For a decade, the running joke in Australian boardrooms was that ASIC was a "toothless tiger." That joke isn’t funny anymore. Ian Verrender’s latest analysis for the ABC confirms what savvy operators have already felt shifting in the wind: The tiger has found its teeth. The era of the "soft touch" regulator is over. We are seeing a remarkable turnaround from a passive observer to an aggressive enforcer, specifically targeting: - Predatory lending & debt management - Greenwashing & ethical product claims - Cybersecurity failures & data handling - Director accountability Why this matters to you: If your business model relies on "flying under the radar" or treating compliance as a "someday" problem, you are now carrying massive systemic risk. A "she'll be right" attitude to governance is no longer a gap in your strategy. It’s a target on your back. The Fix: Stop viewing compliance as red tape. View it as system architecture. Robust systems don’t just protect you from the regulator; they build the asset value that allows you to sleep at night. If you’re big enough to be noticed, you’re big enough to be audited. Check your systems before they do. We move 🚀 Full article here: https://lnkd.in/g8d2nFYC #business #ASIC #compliance #systems #risk #STKN
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Chris Foster
4K followers
KPMG Australia has extended its AASB S2 First Impressions analysis to include 30 June reporters. The first view of this cohort is now available on our website dashboard, with regular updates to follow as more reports are published and analysed. For deeper insights, keep an eye out for our FAST30 Early Findings Report for 30 June reporters, coming in September 2026. If you are looking for sector-specific benchmarks or tailored analysis, contact KPMG Australia’s ESG Reporting & Assurance team. Find out more: https://lnkd.in/egcGN24k #AASBS2 #SustainabilityReporting #ClimaterelatedDisclosures #ESG
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Camille DG
Western Sydney University • 1K followers
🎯 Growing an NDIS business with thin margins does not fix the margin problem. It scales it. 1️⃣ Revenue and cost both grow together, so the gap between them does not close on its own. 2️⃣ The busiest month is often the month with the highest expenditure, not the highest profit. 3️⃣ Margin issues at ten participants tend to become structural problems at thirty. 4️⃣ Growth is only a financial lever when the cost per unit of service is already under control. 👉 Worth knowing your margin before the next growth phase, not after. #NDISProvider #NDISBusiness #AIForNDIS #NDISOperations #SpecereShift
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Thomas Lorenzo
Workato • 2K followers
NZ Government just projected $76 billion in AI value by 2038. Most Kiwi organisations won't capture a dollar of it. The latest Public Service AI Framework review dropped this week with impressive numbers: 82% adoption, 93% efficiency gains, agencies racing to deploy Claude, Copilot, and ChatGPT. Sounds like we're winning the AI race, right? Here's the uncomfortable truth buried in the report: 72% of agencies are choosing off-the-shelf AI tools, but most are stuck in "pilot hell", successful proof-of-concepts that can't scale to production. Why? Because you can't AI your way out of a systems integration problem. Those shiny AI tools are useless if: → Your CRM can't talk to your ERP → Your procurement system lives in a different universe than your finance platform → Your data is trapped in silos that require manual extraction. The framework emphasizes "scalable implementation" and "integration with existing systems." That's government-speak for: "We have an orchestration problem, not an AI problem." The organisations that will capture that $76B aren't asking "What AI should we buy?" They're asking: "Is our integration architecture ready to orchestrate AI at scale?" Because Gen AI is extraordinary at generating insights. But insights mean nothing if they can't trigger actions across your actual business systems. Here's what I'm seeing work in the market: Build the orchestration layer FIRST. Then layer AI on top. Not the other way around. The unsexy foundation work, API integrations, data flows, cross-system automation, that's what separates AI pilots from AI production value. What are you seeing? Are NZ organisations building AI-ready infrastructure, or are we just stacking AI tools on top of integration debt? 📊 Latest framework review: https://lnkd.in/eZr_VHEP #AIStrategy #DigitalTransformation #NewZealand #EnterpriseArchitecture #SystemsIntegration #AIOrchestration #TechLeadership #NZTech #AIAdoption #GoingForGrowth
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Jason Hayes
PwC • 4K followers
AI-first. Bigger budgets. Skills gaps. Surveying 100+ Australian business and technology leaders, PwC's 2026 Digital Trust Insights report found AI is reshaping cyber priorities and risks. Five signals shaping priorities in Australia: 📱 AI the main focus ⛔️ Skills are the bottleneck 📈 Budgets rising 🏛 Prioritising data governance and protection 🔎 Quantum computing on the radar PwC Australia Cybersecurity & Privacy Partner, @Robert Di Pietro said: “AI is transforming cybersecurity across the world. The integration of AI into cybersecurity is a double-edged sword with adversaries experimenting with AI-powered cyberattacks, while Australian organisations are leaning in and investing in skills and responsible AI." Explore the Australian findings here: https://lnkd.in/g-_tiJ_8
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Ioana-Alexandra Covrig
Ansarada • 3K followers
26 leading dealmakers. 7 global regions. 1 essential report. 🌍 Our 2026 Global M&A Predictions Report is here, and it reveals something remarkable: despite geopolitical uncertainty and economic volatility, M&A resilience continues. We've gathered insights from top dealmakers across APAC, New Zealand, UK & Ireland, DACH, Europe, Middle East & Africa, and North America to bring you 26 insights into 2026. Key findings: ✓ M&A resilience continues despite geopolitical instability ✓ Interest rate cuts expected to catalyse activity and pricing ✓ Energy and tech outperform, while retail faces headwinds ✓ AI lens reshapes valuations across all sectors What makes this report different? True global intelligence with hyper-regional precision. Download your free copy to discover what's shaping deals in your region and beyond at the link in the comments. 👇
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Prashanth H Southekal, PhD, MBA, ICD.D
27K followers
You may have seen the headline - Deloitte to partially refund Australian government (headed by Anthony Albanese) for report with apparent AI-generated errors. Technically, that should be a major reputational hit. After all, aren’t these firms paid millions to deliver top-tier insights to imprve the performance of their clients? But IMO, this incident won’t materially hurt Deloitte or even any of the Big 4. Why? Because the real reason these consulting giants are hired isn’t always what’s written in the contract. Yes, the official narrative says they are brought in to improve business performance, drive transformation, offer expert insights, and more. But the unofficial, yet widely understood reason, is - THEY ARE HIRED FOR THEIR BRAND AND FOR RISK MITIGATION. A report with the Deloitte or Mckinsey logo isn’t just a document; it is a SHIELD. It signals credibility, satisfies internal stakeholders, and can be used to justify decisions up the chain including the board. Even if the content is flawed, the brand carries weight. While there are many talented consultants doing great work in these firms, branding, perception, and risk management often drive big-ticket consulting deals. What do you think? Is the Big-4 model more about expertise or just brand-driven insurance?
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