Sr. Manager Enterprise Intelligence
Consumer Market Insight Manager
Shanghai, CN
Senior Global Director Data and Analytics, EOS-Digital Core
London, UK | Aimargues, FR
Data Analyst
CAN-Alberta-Edmonton | USA-Tennessee-Franklin | Canada
Strategy & Business Analytics Manager
USA-Illinois-Chicago | United States of America
Channel Effectiveness Manager
$108,160 – $148,720 per annum
Multiple Locations (US)
Job Description
Job Description:
Are you ready to shape the future of data, analytics, and AI for some of the world’s most beloved pet care brands? Operating at the intersection of commercial strategy and modern data science, this high-visibility role is dedicated to transforming complex data into a competitive advantage and building the roadmap for next-generation intelligence across Mars Pet Nutrition’s $7B business unit.
In this role, you will champion data excellence, drive category and pet-population forecasting, and lead the exploration of cutting-edge AI capabilities and BI tools. Collaborating closely with senior leadership, Data & Analytics (D&A), Marketing, and external innovation partners, you will have the autonomy and strategic scope to define "where we go next"—building scalable data assets, modernizing our tech ecosystem, and empowering insight-driven decision-making across the enterprise.
What are we looking for?
- Education: Bachelor’s degree in Analytics, Data Science, Business, Statistics, or a related field required (MBA or Advanced Degree preferred).
- Experience: 7+ years of progressive experience in data management, analytics, business intelligence, or commercial insights.
- Technical Expertise: Strong hands-on knowledge of modern data environments and analytics tools (Azure Databricks, SQL, Python, Alteryx) and BI platforms (PowerBI, Tableau).
- Data Ecosystem Mastery: Proven expertise managing and synthesizing large, complex datasets (POS, loyalty, panel, and syndicated data such as Nielsen/IRI).
- Strategic Roadmap & AI Integration: Demonstrated ability to translate commercial needs into scalable data products, with an aptitude for assessing AI readiness and operationalizing machine learning/AI solutions.
- Stakeholder Influence & Communication: Strong cross-functional collaboration, stakeholder management, and data storytelling skills with the ability to influence Director- and VP-level decision-makers.







