Jonas Christensen

Jonas brings close to two decades of experience across analytics, data science, forecasting, AI, commercial strategy and business transformation.

His background combines technical depth with strong commercial grounding. Originally trained in accounting and finance, he built his career solving practical business problems through analytics, machine learning, forecasting and data-led decision making. That mix remains central to how he works today.

Before founding ExpandIQ, Jonas held senior roles across banking, energy, consulting, superannuation, legal services and analytics transformation. Across those roles, he built teams, improved forecasting capability, established analytics functions, led transformation programs and helped organisations use data and AI in ways that supported better decisions and stronger operational performance.

That experience shapes his point of view: most businesses do not need more AI ideas. They need clearer priorities, better execution, stronger governance and working solutions that fit the way their organisation actually runs.

Jonas writes about the practical side of AI adoption in business, including:

• AI strategy and use case prioritisation
• AI adoption and governance
• workflow automation and process redesign
• AI implementation in real business environments
• forecasting, planning and decision support
• analytics leadership and capability uplift
• build vs buy decisions
• AI training and enablement
• productivity improvement through AI and data

His content is written for leaders who want to understand what works, what gets messy, and how to turn AI into measurable progress.

Jonas's perspective on AI comes from years spent inside real organisations, not from theory alone.

He has worked in businesses where:

• planning depends on multiple teams aligning around the same assumptions
• leaders need confidence in forecasts, not just more reports
• operations teams are buried in manual work
• AI interest grows faster than internal structure
• tools get adopted unevenly across departments
• projects stall because nobody owns rollout properly

That is why his approach is grounded in business value first.

Across his career, Jonas has worked across a range of industries and operating environments, including:

He has particular depth in areas such as:

• forecasting and business planning
• pricing and margin improvement
• portfolio and performance analytics
• AI strategy and implementation
• workflow improvement
• advanced analytics and machine learning
• data and analytics leadership
• team capability uplift
• governance and operating model design

Jonas's path into this field started with a background in accounting and finance, but his career shifted early into analytics and data.

Over time, he progressed through roles spanning analyst, manager, head of analytics, head of data science, consulting director and founder.

He has also built businesses himself, including co-founding Bike Chaser, an Australian marketplace for cycling products. That entrepreneurial experience gave him direct exposure to product strategy, vendor selection, platform development, digital growth, prioritisation and the realities of building under commercial pressure.

That matters because Jonas brings both enterprise and founder-side experience to his work. He understands what it means to improve systems inside larger organisations, and he also understands the pressure of making commercial decisions with limited time and resources.

Jonas is also an author and educator.

He wrote Demystifying AI for the Enterprise and co-authored Data Centric Machine Learning with Python with Manny, his ExpandIQ co-founder.

Alongside his client work, he has taught and designed data science learning programs, including work with RMIT Online, and has advised through external education and mentoring roles.

This part of his background strengthens a key part of the ExpandIQ approach: helping organisations not just implement AI, but build the understanding and capability needed to use it well.

Articles by Jonas are built for business leaders, operations leaders, finance teams, transformation leaders and technical decision-makers who want a clearer path from AI interest to business value.

Readers can expect writing that is:

• practical rather than abstract
• commercially focused
• grounded in operational reality
• clear on trade-offs and risks
• useful for decision-making
• sceptical of hype
• focused on measurable outcomes

His articles typically explore where AI can save time, improve planning, reduce waste, support better decisions and fit into day-to-day workflows without creating chaos.

Jonas is based in Australia and works with organisations across the country, including businesses operating across Melbourne and Sydney, as well as broader national and global environments.

His work is most relevant to organisations with enough scale and complexity for AI, workflow redesign, forecasting and analytics improvement to create meaningful value.

That usually means businesses with multiple teams, recurring processes, planning cycles, reporting needs and enough operational depth for adoption and governance to matter.

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