For more than two decades, I have held senior marketing and general management roles at data-driven, consumer-focused technology businesses across the U.S. and Europe including as CEO, CMO, and Managing Director and for companies from Netflix, eBay, Shopstyle, Popsugar and Vestiaire Collective.

Throughout my career, my focus has been on educating the market about increasingly sophisticated shifts in online behavior and the powerful insights that can be drawn from trend data and discovery.

From serving as “Chief Shopper” at eBay to launching the online fashion aggregator ShopStyle in Europe, and leading the development of an early AI-powered shopping tool called The WantList, I have frequently been at the forefront of innovation, and my work has consistently focused on helping companies and consumers alike adapt to the evolving digital landscape.

Today, I am focused on the ethical and data privacy implications of new technology, and I am passionate about how we should collectively approach AI as it becomes more integrated into our day-to-day lives.

As a responsible AI and data privacy consultant, I work with organizations to ensure they implement AI and data strategies that are not only innovative but also ethical. I am a Certified Ethical Emerging Technologist (CEET) and also serve as a data privacy advisor in the education sector.

My mission is to bridge that gap by helping organizations and individuals understand that a better future comes from a more equal exchange—one where innovation is guided by transparency, ethics, and mutual benefit.

With two decades of consumer technology experience focused on consumer data trends, machine learning, computer vision and data privacy, I consult on consumer AI marketing and communications strategy, data privacy, technology education, and other efforts to integrate innovation in a meaningful, ethical, transparent way. And as a Certified Ethical Emerging Technologist (CEET) I help all stakeholders find the balance between knowledge, privacy, empowerment, and the enjoyment of new technology. 

Responsible AI refers to the development and deployment of artificial intelligence systems that prioritize ethical principles, fairness, transparency, and accountability. It ensures that AI technologies are designed and used in ways that are safe, reliable, and that respect individual privacy and societal values.  For companies, considering Responsible AI is crucial because AI systems can impact decision-making, customer trust, and legal compliance. By integrating ethical considerations into AI strategies, organizations not only mitigate risks like bias or data misuse, but also build long-term trust with customers and stakeholders, fostering innovation that benefits both business and society.

Data privacy goes far beyond mere legal compliance—it’s about building trust and safeguarding an organization’s reputation. When companies handle personal data responsibly, they show customers and stakeholders that they value privacy, fostering long-term loyalty and confidence. In an era where data breaches and misuse can have devastating effects on both individuals and brands, maintaining strong privacy practices is essential for sustaining credibility. Additionally, the legal and regulatory landscape around data privacy is rapidly evolving, making it vital for companies to not only stay compliant but also to engage in ongoing education with employees, partners, and customers. By promoting a culture of awareness and transparency, organizations can better navigate these changes and remain proactive in protecting data.