Senior Data & Analytics Product Manager - North America

Senior Data & Analytics Product Manager – North America

Are you a visionary data leader ready to revolutionize how a global giant connects with pet parents and consumers? At Royal Canin, a proud division of Mars, Incorporated, we are undergoing a monumental Digital Transformation. We believe that solving critical business problems in a user-centric way through cutting-edge Data & Analytics is fundamental to our growth. Building on our early successes and foundational capabilities, we are looking for a trailblazing Senior Data & Analytics Product Manager (North America) to join our Global D&A Team and accelerate this journey.

In this pivotal technical leadership role, you will shape and deliver the North American marketing analytics product portfolio. Your core mission will be leading the evolution of our Marketing Mix Modeling (MMM) capabilities from traditional time-series methods to a modern, Causal and AI-Native framework. Bridging the gap between strategy and data science, you will collaborate with regional leaders and lead a high-performing squad of data engineers and scientists to deploy products that deliver massive, sustained business value.

If you are a builder who "leads with problems, not tools," thrives in translating complex algorithms into strategic business solutions, and wants to drive breakthrough innovation on a global scale, this is your opportunity to make a lasting impact.

What Are We Looking For?

• Education: Bachelor's degree in Data Science, Statistics, Marketing Analytics, Business, Computer Science, or a related quantitative field. A Master's degree is preferred.
• Core Experience: 7+ years of progressive experience in data & analytics, with a focus on marketing analytics and media mix modeling within a complex, multi-channel environment.
• MMM Expertise: Strong background in Marketing product delivery for Data & Analytics with a particular focus on Marketing Mix Management. Expertise in the theory and application of modern Marketing Mix Modeling (MMM), including an understanding of its evolution from traditional time-series methods to contemporary causal and AI-based approaches (e.g., Bayesian methods, hierarchical models, agent-based models).
• Stakeholder Leadership: Track record of customer-facing success and business acumen in working with teams to identify problems to solve, ideating on the art of the possible, and bringing possibilities to life.
• Business-to-Science Translation: Strength in business-to-science translation to enable partnering with business teams and technology teams in bringing analytics product ideas to life.
• Analytics Foundation: Strong analytics foundation, with experience in areas such as causal inference, advanced statistical modeling, and machine learning as they apply to marketing effectiveness.
• Delivery Management: Experience in delivery management of analytical products, or awareness of the drivers of complexity within delivery.

What Will Be Your Key Responsibilities?

• Continuously build a roadmap of highest-impact analytical product areas with a focus on value-generation for our Marketing function.
• Understand current state process, pain points, user personas, and existing tooling to synthesize many different viewpoints of the problem that each analytical product addresses into a clearly defined vision.
• Architect the backlog of Epics that iteratively address the problem using the agile framework.
• Prioritize Epics into Product releases and advocate for resourcing to achieve analytical product goals.
• Oversee a squad of technical resources (including data engineers, data scientists, contractors and/or vendors) that will be deployed to the Product through release execution.
• Evaluate solution's ability to solve the problem through adoption and other value creation indicators.

What Can You Expect From Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.