Data Science and AI Manager

Conagra Brands • Chicago, IL

65d • Hybrid

About The Position

Reporting to the Director, Supply Chain Data & Analytics, you will lead data science, analytics and AI initiatives within Conagra’s Supply Chain, delivering actionable insights and advanced analytics that drive measurable business impact. As Manager, you will be a hands-on leader, responsible for developing data products and pipelines, analytics and ML models, deploying AI solutions, and guiding a team of data professionals to solve complex supply chain challenges.

Requirements

• Bachelor’s degree in data science, Computer Science, Supply Chain, or related field; advanced degree preferred.
• 5+ years of experience in data science, analytics, or AI, with proven ability to deliver business impact.
• Familiarity with supply chain processes and systems.
• Coding skills in Python or R; experience with SQL, Databricks and Azure.
• Hands-on experience with machine learning, predictive modeling, and large-scale data processing.
• Simplify complex business concepts to technical requirements for business stakeholders.
• Prioritization and project management skills to ensure resources focus on high-value initiatives.

Nice To Haves

• Palantir or any decision cognitive intelligence tool development experience a plus.

Responsibilities

• Data Science & AI Leadership: Design and implement data products, machine learning models, predictive analytics, and optimization algorithms to improve supply chain performance. Translate business problems into data-driven solutions.
• Team Development & Coaching: Lead and mentor a team of Data Analysts and Data Scientists. Foster a culture of innovation, collaboration, and continuous learning. Ensure alignment of team priorities with business objectives.
• Analytics Product Ownership: Manage the lifecycle of AI and analytics products—from ideation to deployment and iteration. Partner with IT and business stakeholders to ensure robust data pipelines, scalable models, and integration into decision-making processes.
• Collaboration & Enablement: Work closely with Supply Chain functional COE and leaders to embed analytics into planning, sourcing, manufacturing, and logistics. Provide tools, dashboards, and insights that enable speed and agility.
• Capability Building: Develop best practices, governance frameworks, and performance metrics for AI and analytics adoption. Promote reusability of data assets and models to accelerate delivery and reduce duplication.

Benefits

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees