Senior Data & Analytics Product Manager - North America
Mars · New York, NY
- On site
- Full-time
- $160,000 / year
- New York, NY
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Subject: Interested in the Senior Data & Analytics Product Manager - North America role at Mars
Hi Avery — I came across the Senior Data & Analytics Product Manager - North America opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Mars stood out because…
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Job highlights
- Lead North America marketing analytics product portfolio.
- Evolve MMM capabilities with AI and causal frameworks.
- Collaborate with regional leaders and technical teams.
- Drive business value through data and analytics products.
- Shape and deliver innovative data solutions globally.
About the role
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.
LI-LD1
LI-Onsite
#TBdigital
The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.
The pay range shown is applicable to all US locations listed within the job posting: USD 134,400.00 - USD 184,800.00
Key skills/competency
- Data Product Management
- Marketing Analytics
- Marketing Mix Modeling (MMM)
- Causal Inference
- AI/Machine Learning
- Agile Frameworks
- Stakeholder Leadership
- Business-to-Science Translation
- Roadmap Development
- Analytics Product Delivery
Skills & topics
- Data Product Manager
- Analytics Product Manager
- Marketing Analytics
- Media Mix Modeling
- MMM
- Causal Inference
- AI
- Machine Learning
- Data Science
- Product Management
- Agile
- Roadmap
- Stakeholder Management
- Mars
- Royal Canin
- North America
How to get hired
- Tailor your resume: Highlight your 7+ years of data & analytics experience, especially in marketing analytics and MMM. Quantify achievements in business-to-science translation and stakeholder leadership.
- Showcase MMM expertise: Emphasize your understanding of modern MMM approaches (causal, AI-based) and experience in product delivery for data & analytics.
- Address key responsibilities: Clearly articulate your experience in roadmap development, backlog management using agile frameworks, and leading technical teams.
- Research Mars' culture: Understand their Five Principles and commitment to digital transformation and user-centric problem-solving to align your application and interview responses.
- Prepare for technical and behavioral interviews: Be ready to discuss your experience with causal inference, advanced statistical modeling, and how you translate complex algorithms into business solutions.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific experience is required for the Senior Data & Analytics Product Manager role at Mars (Royal Canin)?
- The Senior Data & Analytics Product Manager role at Mars (Royal Canin) requires a Bachelor's degree in a quantitative field and over 7 years of progressive experience in data & analytics, with a strong focus on marketing analytics and Marketing Mix Modeling (MMM). Expertise in modern MMM approaches, stakeholder leadership, and business-to-science translation is crucial. A Master's degree is preferred.
- What is Marketing Mix Modeling (MMM) and why is it important for this role at Mars?
- Marketing Mix Modeling (MMM) is a statistical analysis used to measure the impact of marketing efforts on sales and other business objectives. For this role at Mars (Royal Canin), expertise in MMM is key to evolving their marketing analytics capabilities from traditional methods to modern, causal, and AI-native frameworks, driving significant business value.
- How does Mars (Royal Canin) approach product development for Data & Analytics?
- Mars (Royal Canin) takes a user-centric, problem-first approach to data & analytics product development, as indicated by their focus on "leading with problems, not tools." They emphasize building a roadmap of high-impact analytical products, understanding user needs, and using agile frameworks to architect backlogs and deliver value.
- What opportunities are there for professional development at Mars (Royal Canin) for a Senior Data & Analytics Product Manager?
- Mars (Royal Canin) offers best-in-class learning and development support, including access to their in-house Mars University. This is part of their commitment to associate growth and development, providing ample opportunities for a Senior Data & Analytics Product Manager to enhance their skills.
- Can you explain the 'Business-to-Science Translation' requirement for the Senior Data & Analytics Product Manager role?
- Business-to-Science Translation means the ability to effectively communicate business needs and challenges to technical and data science teams, and conversely, to translate complex analytical findings and models back into actionable business strategies and solutions. It's about bridging the gap between business objectives and data science execution.
- What is the expected work arrangement for this Senior Data & Analytics Product Manager position at Mars?
- The job posting indicates 'LI-Onsite', suggesting that this Senior Data & Analytics Product Manager role is expected to be primarily on-site, though specific hybrid arrangements might be discussed during the hiring process. It's advisable to confirm the exact work arrangement during your application or interview.