Led the development of a next-generation synthetic data generation platform, leveraging the power of AI to create realistic and privacy-compliant data sets. This platform empowers organizations to unlock the full potential of advanced analytics and machine learning without compromising user privacy.

Championed a collaborative and outcome-driven product roadmap, working closely with five cross-functional teams to align product development with both customer needs and company vision.

Established a data-driven product prioritization process, implementing transparent criteria and backward assessments to ensure a clear and continuously optimized product roadmap over the next 6-12 months.

Increased product visibility and stakeholder alignment by implementing Jira and Confluence as central communication hubs. This ensured all stakeholders were informed and engaged on essential product topics.

Bridged the gap between business strategy and product execution by clearly defining business and product requirements, effectively communicating them across all levels - from executive leadership to development and product teams.

Championed agile methodologies by facilitating efficient and self-driven collaboration among cross-functional teams (PM, design, development, back-office). This fostered individual ownership, clear KPI reporting, and a culture of innovation.

Empowered the team by providing ongoing training, fostering a culture of innovation, and inspiring team members across departments to deliver exceptional business value through the product development strategy.

Built strategic partnerships with key stakeholders (CEO, CTO, CSO) to align priorities and ensure the synthetic data platform supported the long-term vision of the company.

Collaborated with the CTO to define the platform architecture from conception to implementation, ensuring a robust and scalable foundation for future growth.