Campbell Soup Company is seeking a Vice President of Data, Analytics, and AI to develop enterprise-wide data strategy and capabilities, empowering teams with actionable insights. The goal is to drive data-informed decisions, operational efficiency, and consumer personalization across the CPG value chain by building scalable platforms and predictive models.
Requirements
- Deep expertise in cloud-based data platforms (AWS, Azure) and AI/ML frameworks.
- Strong knowledge of data architecture, data lakes, data warehouse, and managing Peta bytes of data. (preferably Databricks)
- Experience with data pipelines, model operationalization and managing data operations,
- Solid experience in managing a large BI instance supporting various functions across Manufacturing/Supply Chain/R&D/Marketing/Corporate. Expertise in building and managing self-service analytics environment.
- Implemented Gen AI solutions either internally built or external vendor solution using the newer Large Language Models. Expertise in building AI agents to improve employee productivity
- Productionize experience of large data science solutions such as Pricing, Demand Forecasting, Customer segmentation, Control Tower, Market Mix Modeling & Trade Promotion Management.
- Lead design of analytical and ML models using Python, R, SQL, and frameworks.
Responsibilities
- 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.
- Drive the development and deployment machine learning models, ensuring that advanced analytics are embedded in the decision-making processes across the organization.
- Oversee the development and maintenance of scalable data infrastructure, including data lakes and pipelines, to support robust analytics and AI initiatives.
- Lead efforts around data governance, data quality, and data security, ensuring that data is accurate, accessible, and compliant with regulatory standards.
- Guide the team and deliver custom or vendor-based AI (Gen AI, Agentic AI ) solutions for used cases which increases the productivity of the employees.
- Consolidate Visualization tools, build a Center of Excellence on Business Intelligence to reduce the insights quality issues.
- Oversee development of modern, cloud-native data infrastructure (e.g., Snowflake, Databricks, etc) to enable real-time analytics and scalable data storage.
Other
- 15+ years of progressive leadership experience in data science, AI, data engineering, and advanced analytics within a large-scale, complex organization (preferably large CPG industry experience).
- Serve as the executive champion for data-driven decision-making and self-service analytics across all business functions.
- Partner with senior leaders in IT to support marketing, sales, supply chain, HR and finance to identify high impact use cases for data and AI.
- Build and scale high-performing, cross-functional teams spanning data engineering, data science, analytics, and platform operations.
- Promote data literacy and enablement across the organization through training, workshops, and change management initiatives.
