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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager Enterprise Intelligence - **Company:** Mars - **Location:** Franklin, TN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Application Integration Architecture, Big Data, Data Governance, Data Infrastructure, Data Integrity, Data Presentation, Dataspaces, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Chatbots, Data Analytics, Data Management, Tools for Reporting, Data Pipelines, Alteryx, Databricks - **Published:** September 2, 2026 - **Apply:** https://careers.mars.com/global/en/job/R165028/Sr-Manager-Enterprise-Intelligence ## About the Role * 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. * Execution & Governance: High analytical rigor with a track record in establishing data governance, data quality standards, and metric consistency. Nice-to-Haves / Preferred: * Experience within the CPG, Pet Care, Retail, or eCommerce/Retailer Media landscape. * Familiarity with Nielsen syndicated metrics and panel-based consumer dynamics. * Experience partnering with dotted-line technical/analytics teams or external vendor partners. ## 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., * Define Data Roadmap & Governance: Shape and execute the long-term data roadmap for the Insights & Growth Strategy organization; serve as the business owner for Insights data assets to ensure data integrity, consistency, and scalability. * Drive Advanced Analytics & Strategic Forecasting: Oversee category dynamics, volume modeling, and pet population forecasting to guide annual operating planning and strategic decision-making for a $7B business. * Pioneer AI & Next-Gen Capabilities: Assess tech readiness for AI integration and spearhead the development of innovative analytical solutions, self-service tools, and conversational AI/chatbots for commercial and marketing teams. * Evolve BI Platforms & Tooling: Lead the product enhancement roadmap for core analytics platforms and dashboards (e.g., PowerBI, Cascade), defining capabilities and driving user adoption. * Expand the Data Ecosystem: Proactively source, evaluate, and integrate emerging first-, second-, and third-party data sources to increase market coverage and analytical capabilities. * Partner Cross-Functionally: Collaborate closely with D&A, Data Foundations, Tiger Analytics, Marketing, and Global teams to operationalize data pipelines, align calculation methodologies, and streamline analytics delivery. * Champion Data Storytelling & Best Practices: Guide commercial teams on data usage, interpretation, and analytical best practices to maximize the business impact of insights across the enterprise. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023)