Ataccama appoints Andrea Eaton as Chief Marketing Officer to drive AI data trust

Ataccama has appointed Andrea Eaton as Chief Marketing Officer, a move that reflects the company's focus on supporting enterprises wrestling with the challenges of data trust and regulatory compliance in an era of rapid artificial intelligence adoption. Eaton is tasked with scaling Ataccama's global market presence and driving uptake of its data trust platform, particularly among customers in financial services and insurance.

Data quality challenges

Organisations adopting AI face hurdles in managing data accuracy, consistency, and lineage. These issues are increasingly pressing as companies look to operationalise AI against a tightening backdrop of regulatory requirements. Ataccama's platform seeks to tackle these data quality challenges by unifying data quality, observability, cataloguing, and lineage, providing a cohesive view for analytics and reporting processes.

The stakes are high for businesses that want to deploy AI at scale. Trusted data forms the foundation for successful implementation, particularly as more stringent regulatory standards come into force globally. Ataccama's solution is designed to give enterprises confidence that their data is fit for purpose, regardless of where it resides.

Leadership background

Eaton brings two decades of experience leading marketing and sales strategies across software, fintech, and AI-focused businesses. She most recently served as Senior Vice President of Marketing at OutSystems, where her responsibilities included refining the company's AI positioning and launching new AI-driven offerings. She has also held senior roles at Bluefin Payment Systems, DadeSystems, and Bottomline Technologies.

"With up to 80% of AI projects failing because they lack a solid foundation of data quality and trust, Ataccama's mission is paramount. Ataccama sits at the centre of one of the most significant transitions enterprises will make in the coming decade, providing the essential foundation of data trust required for successful AI and regulatory compliance. I am excited to help solve this generational data challenge as part of a business with a market-leading platform, an outcomes-driven team, and an impressive roster of customers across financial services and insurance," said Andrea Eaton, Chief Marketing Officer, Ataccama.

Market demand

Financial services and insurance firms are a key market for Ataccama. These industries are under pressure to modernise data estates not only to support AI projects but also to keep pace with evolving regulations. The company reports rapid expansion in its customer base within these sectors, mirroring rising demand for automated, intelligence-driven data quality and governance solutions.

AI in marketing

Looking ahead, Eaton highlighted how the role of AI in marketing is expected to shift from simple content generation to providing more strategic revenue support. Features such as predictive and agentic AI will link marketing technology return on investment more closely to business outcomes. The trend towards low-code and AI development tools is also expected to give marketing teams more autonomy to build custom solutions suited to their competitive contexts.

Trust and authenticity

With AI-generated content becoming ubiquitous, Eaton sees authenticity as an increasingly precious commodity. Brands will need to offer original expertise, transparent claims, and genuine human engagement to differentiate themselves and maintain customer trust. She anticipates a renewed focus among marketing leaders on event strategies that foster connection and idea exchange, as well as greater investment in expert-led thought leadership and third-party validation, rather than relying solely on self-promotional content.

Ataccama's CEO, Mike McKee, emphasised the importance of trusted data for scaling AI and driving responsible organisational change. Scott McKenzie, Operating Partner at Bain Capital Tech Opportunities, reiterated the view that a trusted data foundation is becoming a strategic priority for global enterprises as they modernise for AI adoption.