Job Description:
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.
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.
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.
The base pay range for this position at commencement of employment is expected to be between the below range. Please note: This job posting is for an existing vacancy. AI is used as a supporting tool in our recruitment process.
Base Salary Range: $108,672.00 CAD - $142,632.00CAD
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Skills Required
- Bachelor's degree in Data Science, Statistics, Marketing Analytics, Business, Computer Science, or related quantitative field
- Master's degree
- 7+ years progressive experience in data & analytics with focus on marketing analytics and media mix modeling
- Expertise in Marketing Mix Modeling and modern causal/AI-based approaches (e.g., Bayesian methods, hierarchical models, agent-based models)
- Strong analytics foundation including causal inference, advanced statistical modeling, and machine learning
- Track record of stakeholder leadership and customer-facing business acumen
- Experience translating business problems to data science solutions (business-to-science translation)
- Experience in delivery management of analytical products and familiarity with drivers of delivery complexity
- Experience with agile product management, backlog/epics, and prioritizing product releases
- Experience leading and overseeing squads of data engineers, data scientists, contractors or vendors
Mars Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mars and has not been reviewed or approved by Mars.
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Healthcare Strength — The benefits package is positioned as comprehensive, with broad medical coverage and additional protections like life insurance and short- and long-term disability. Mental health support is emphasized, including free mental health services and wellbeing programming under initiatives such as Mars Be Well.
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Parental & Family Support — Paid parental leave is highlighted as market-leading in the U.S., with an example of 18 weeks fully paid for both parents. Additional family-related leave types such as sick time for caregiving and bereavement leave are also described as part of the overall package.
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Retirement Support — Retirement offerings are described as strong, including 401(k) matching (with a 6% match cited) and pension plans in some cases. The broader package also references retirement savings options and contributions aligned to local market practice, supporting long-term financial security.
Mars Insights
What We Do
For more than a century, Mars, Incorporated has been driven by the belief that the world we want tomorrow starts with how we do business today. This idea is at the center of who we have always been as a global, family-owned business. Today, Mars is transforming, innovating and evolving in ways that affirm our commitment to making a positive impact on the world around us. Across our diverse and expanding portfolio of confectionery, food, and petcare products and services, we employ 133,000 dedicated Associates who are all moving in the same direction: forward. With $40 billion in annual sales, we produce some of the world’s best-loved brands including DOVE®, EXTRA®, M&M’s®, MILKY WAY®, SNICKERS®, TWIX®, ORBIT®, PEDIGREE®, ROYAL CANIN®, SKITTLES®, WHISKAS®, COCOAVIA®, and 5™; and take care of half of the world’s pets through our pet health services AniCura, Banfield Pet Hospitals™, BluePearl®, Linnaeus, Pet Partners™, and VCA™. We know we can only be truly successful if our partners and the communities in which we operate prosper as well. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our Associates to take action every day to help create a world tomorrow in which the planet, its people and pets can thrive.
