Director, Applied AI Product

Responsibilities

• Support the strategy, design, and execution of building the MRCL platform’s media data visualization, reporting, and dashboarding capabilities.
• Drive MRCL user patterns for rich client-friendly user experience.
• Collaborate with engineering, data foundations, and platform architecture teams to build scalable, performant, and visually compelling analytics experiences.
• Partner with the Product Strategy team, enabling them to work alongside client teams to configure reporting and dashboarding solutions for specific client needs.
• Define and drive the product vision for media data visualization, reporting, and dashboarding capabilities within MRCL, ensuring they deliver actionable insights to agency practitioners and their clients.
• Collaborate with media, analytics, and business intelligence teams across Groupe globally to understand reporting requirements, define data visualization standards, and drive adoption of platform analytics capabilities.
• Work with engineering teams on analytics architecture decisions, ensuring data pipeline performance, visualization rendering scalability, and consistent user experience across dashboards and reports.
• Partner with security, compliance, and governance teams to ensure reporting capabilities meet data privacy, access control, and data governance standards — particularly for dashboards surfacing client-sensitive media performance data.
• Build and maintain strong relationships with agency media, analytics, and client service leads, serving as the primary product contact for reporting and dashboarding initiatives.

Qualifications

• 5+ years of product management experience, with demonstrated ownership of building data visualization, reporting, or analytics products.
• Direct experience designing or shipping dashboarding and reporting capabilities within a platform context — particularly products that surface media, advertising, or marketing performance data.
• Strong understanding of data visualization best practices, BI tooling ecosystems, and how to translate complex datasets into intuitive, actionable analytics experiences.
• Excellent cross-functional collaboration and stakeholder management skills, with the ability to influence across engineering, data, and business teams globally.
• Entrepreneurial mindset with comfort operating in a fast-moving, ambiguous environment.