Marla Nelson

“Transformation is about trust, resilience, people, and the ability to keep moving forward even when the path is uncertain”

Part of the Tech Women Celebration 50 – a curated list of some of the most inspirational women working at all levels of tech

Enterprise transformation leader Marla Nelson is Head of data & AI transformation at JLR working at the intersection of data, AI and complex organisational systems.

Marla’s focus has never been technology for technology's sake. It has been about creating practical, sustainable transformation that improves decision-making, strengthens governance, enables AI readiness, and creates opportunities for people to thrive. Alongside leading data & AI transformation, Marla actively mentors emerging talent, supports Black female leadership through Project Orbit, volunteers as a REACH Ambassador, and founded the Data & AI Office People Forum to ensure inclusion and employee voice remained central during periods of significant change.

Marla says: “I believe successful digital transformation is ultimately about people, trust, and creating systems that allow others to succeed long after you step away.”

Tell us about your biggest achievement to date

Helping establish and scale JLR's enterprise data capability from the ground up, evolving the original Data Office into a structured enterprise Data & AI operating model that now supports scalable, value-driven delivery across the business.

I initially led delivery of enterprise data and digital products across Finance, HR, Sustainability, Legal, Corporate Affairs, and Motorsport, generating more than £100m in value through improved decision-making, operational efficiency, and risk reduction.

Building on that experience, I designed and implemented the Data & AI Factory operating model, creating the frameworks, governance, standards, and delivery playbooks needed to scale enterprise data and AI delivery consistently across the organisation. This included establishing five Data & AI Factories under a common blueprint and governance model through the Data & AI Council.

Alongside the transformation work itself, I have remained committed to inclusion and people development through mentoring, Project Orbit, the REACH Network, and founding the Data & AI Office People Forum.

What is the most significant challenge you have overcome?

Leading large-scale transformation in environments defined by ambiguity, pressure, and constant change, while still staying true to my values and leadership style.

I came into technology through a non-traditional route, not through computer science or engineering, and have often worked in environments where there were very few women in senior transformation, data, or digital leadership roles. Early in my career, I learned quickly that credibility had to be earned through delivery, resilience, and consistency.

More recently, I have also faced personal health challenges, including transient ischaemic attacks, alongside the demands of leading complex enterprise transformation. That experience forced me to rethink how I work, prioritise energy differently, and become more open about the reality that high-performing leaders are still human.

Professionally, one of the hardest challenges was helping build and scale enterprise data capability from scratch within a large, complex organisation while navigating organisational change, competing priorities, and cultural resistance.

The experience reinforced something I've always believed: transformation is never only about technology. It is about trust, resilience, people, and the ability to keep moving forward even when the path is uncertain.

Tell us something about you people would find surprising

People are often surprised that I work in enterprise data and digital transformation given I'm neurodivergent and have dyscalculia. I genuinely struggle with basic arithmetic and traditional ways of processing numbers.

What comes naturally to me instead is pattern recognition. I quickly spot anomalies, gaps, inconsistencies, behaviours, and connections that other people often miss. My brain instinctively looks for edge cases, weak points, unintended consequences, and the things sitting underneath the obvious surface problem. work.

I become relentless about understanding why something is broken, why it keeps happening, what people are avoiding, and what would fix it sustainably rather than temporarily.

I often work alongside people who are world-class technologists, engineers, architects, and developers with far deeper technical expertise than mine. My strength is connecting the dots between people, process, technology, risk, behaviour, and business value in a way that helps those experts focus their skills where they matter most.

Over time, I've realised that thinking differently is not something I need to compensate for. It's one of the reasons I'm effective.