VP, Data & Analytics

Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8. 

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell’s…

• Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
• Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
• Campbell’s offers unlimited sick time along with paid time off and holiday pay.
• If in WHQ – free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
• Giving back to the communities where our employees work and live is very important to Campbell’s.   Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually.
• Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees.

Job Description
Campbell Soup Company (Nasdaq CPB) is a multinational food company headquartered in Camden, NJ. It is driven and inspired by its purpose – "Connecting People Through the Food They Love". For generations, people have trusted Campbell to provide authentic, flavorful, affordable foods and beverages that connect them to each other, to warm memories, and to what's important today. 
 
Campbell's portfolio is focused on two distinct businesses: Campbell Meals and Beverages and Campbell Snacks. Campbell Simple Meals and Beverages, which houses the Campbell's, Swanson, Chunky and Pacific soup and broth brands as well as V8 juices, Rao's, Prego, and Pace Mexican sauce, among others. Campbell Snacks, home to well-known brands such as Pepperidge Farm and Milano cookies, Goldfish crackers, Snyder's of Hanover pretzels, Kettle and Cape Cod chips, Lance crackers and Late July organic tortilla chips; The strategy is one of focused differentiation anchored in value creation. This focus enables it to leverage its iconic brands and strong positions in the market where it has the greatest presence. Campbell's is being reshaped to drive sustainable growth and enhance shareholder value by implementing a dual mandate to strengthen their core business and expand into higher-growth spaces.
 
We are seeking a dynamic and forward-thinking Vice President of Data, Analytics, and AI to lead the development of enterprise-wide data strategy and capabilities that empower our teams with fast, frictionless access to actionable insights. In this high-impact leadership role, you will architect the vision and execution of modern data and AI strategies across the Consumer-Packaged Goods (CPG) value chain—from commercial operations to supply chain optimization.
 
This role will lead a team of data scientists, data engineers, and analytics professionals to build scalable platforms and predictive models that drive data-informed decisions, operational efficiency, and consumer personalization. This role combines strategic leadership with deep technical fluency across data platforms, data science, machine learning, and enterprise-scale data engineering.
 
Key Responsibilities:           

Data & Analytics Strategy: Develop and implement a comprehensive strategy that leverages data science, AI (GenAI, Agentic), self-service and data engineering to drive innovation and support CTDO and business objectives. Focus on maximizing the value of existing data assets and creating frameworks for scalability and reusability. 

Data Science: Drive the development and deployment machine learning models, ensuring that advanced analytics are embedded in the decision-making processes across the organization.  Build data science teams to deliver RGM, Trade planning, Customer segmentation for Marketing, High accuracy demand forecasting, Market mix modeling for Finance and Predictive maintenance, Ultimate Control Tower for Supply Chain. 

Data Engineering: Oversee the development and maintenance of scalable data infrastructure, including data lakes and pipelines, to support robust analytics and AI initiatives.  

Data Management: Lead efforts around data governance, data quality, and data security, ensuring that data is accurate, accessible, and compliant with regulatory standards.  Establish common semantic layer for single source of truth and create frame work to ge