Amelia Green is the founder of U-BI, an AI and data infrastructure platform returning economic value to the individuals who generate data, while delivering measurable EBITDA uplift for businesses and tangible societal benefit for governments.
She brings more than 25 years at the intersection of AI, data, and institutional transformation — from qualifying and quantifying the value of AI solutions, to architecting the systems, making the calls, and owning the outcomes. As Partner and Managing Director at AlixPartners, Chief Digital Officer at PwC Singapore, and MD at global technology firms, she has helped organisations unlock over $4.2 billion in value through AI and data, deploying global platforms that added tens of millions to quarterly EBITDA, and unifying systems, technologies, and insights into business value for Fortune 100 companies worldwide.
What makes Amelia a genuinely distinctive voice is where her thinking comes from. Her career began at the War Crimes Tribunal — a formative encounter with what happens when data integrity fails at the highest stakes. That experience gave her something most technologists lack: a clarity about why this work matters on and beyond the balance sheet — a clarity she has since brought to more than 200 C-suite AI and data strategy engagements with global companies, organisations, and governments.
Background
Amelia began her career at the War Crimes Tribunal, where she gained early insights into the integrity of data, shaping her foundational understanding of its critical role in high-stakes environments. This experience ignited her curiosity about leveraging data to solve complex problems.
She then joined Shell as part of the leadership and performance team, driving a global change management program. There, she observed how value gets trapped in organizational silos and why large companies move slowly, fueling her obsession with better ways to deliver services efficiently and cohesively.
As the dot-com bubble emerged, Amelia shifted to working with organizations across industries and globally, defining and implementing digital transformations. She integrated business process changes with behavioral and human elements to de-risk adoption, recognizing data as an organizational X-ray to identify levers for improvement.
Amelia advanced to chief digital officer at PwC Singapore, building AI and machine learning platforms for leading social media companies and leading over 200 business innovation engagements. She helped organizations unlock over $4.2 billion in value through data and AI, earning recognition including the Women Leaders in Technology award and a spot on the CIO 50 list.
She later became partner and managing director at AlixPartners, leading AI and data initiatives. Now, as founder of UBI, she addresses the $3.6 trillion data industry by enabling citizens to gain income from their daily data generation, built on her extensive experience in AI infrastructure and transformation across every major industry.
Today she works with the private sector, nation states, and global institutions on AI and data readiness, advising at the level where technology, policy, and human consequence converge. She is a recognised voice on AI’s economic implications, workforce transformation, and the governance frameworks that determine whether AI builds or erodes business benefit and societal trust.
Core Expertise
Amelia specializes in AI and data infrastructure, digital transformation, and data monetization, known for bridging technology with business imperatives and human change to deliver scalable EBITDA impact. She excels at turning AI from pilots into enterprise infrastructure, having deployed global platforms that added tens of millions to quarterly EBITDA across functions like marketing, R&D, pricing, and inventory for 80+ brands.
Her approach emphasizes lighthouse use cases tied to P&L, designing for scale with common data platforms and governance, and integrating AI as capability building rather than one-off projects. She advocates four-pillar roadmaps: value/use case portfolio, data infrastructure, operating model/talent, and governance/risk, while managing workforce transitions through redeployment to higher-value strategic work, fostering bottom-up innovation and cross-functional engagement.
Academia
Details on Amelia’s undergraduate education are not specified in available sources.
Amelia pursued advanced professional development through executive roles and practical application, continuously adapting to technological shifts over 25+ years without mention of specific graduate degrees.
She emphasizes lifelong learning and AI literacy, advising professionals to treat AI as a colleague, understand its strengths/weaknesses, and leverage human experience for superior outcomes. Inspired by her father’s three career adaptations and her son’s work on AI’s societal impact, she models resilience in rapid change.
Key Perspectives that Amelia Green Shares on the Podcast
Amelia views AI as a business imperative and institutional infrastructure disrupting markets, competition, and operations, not just a technology tool. She stresses scaling beyond pilots by
tying initiatives to EBITDA via high-value lighthouses, designing for scale, and measuring business impact continuously, warning against common pitfalls like starting with models over missions or ignoring socio-technical systems.
In workforce impacts, she sees AI automating routine tasks but creating complementary roles requiring human judgment, creativity, and oversight of agentic workflows, fostering a creative economy. Leaders succeed by engaging top-down and bottom-up, redeploying talent for growth, and prioritizing responsible AI with governance for trust, bias, and security, while individuals build AI literacy, data comfort, and domain expertise to thrive
A Quote from this Conversation with Amelia Green
“AI is great at getting stuff done, but it can’t create the experience of the world that we want to have. That’s up to us and that’s up to our creativity.”
