Manager, Data Science

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats®, PEBBLES®, Grape-Nuts® and Malt-O-Meal® cereal, and Peter Pan® peanut butter, as well as Nutrish®, Kibbles 'n Bits® and 9Lives® dog and cat food. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit and follow us on LinkedIn and Facebook for the latest news.

Brand

At Post Consumer Brands, we've spent generations showing up for families, starting with breakfast, the most important meal of the day. Our cereals have become a trusted part of daily routines, helping spark conversations, fuel busy mornings, and create everyday moments that bring families closer together, including their furry four-legged family members, who have recently become a part of our story. As families have evolved, so have we. What began at the breakfast table has expanded into snacks, peanut butter, and pet food, because caring for a family means feeding every part of it. With the addition of several iconic pet brands, we've extended our purpose: to make high-quality, accessible food for everyone under the same roof.

This phase is still new, and that's what makes it exciting. As we continue to grow across grocery and pet, we're looking for people who care about good food, thoughtful work, and the kind of impact that stretches from store shelves to kitchen tables, and food bowls, across the country.

Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.

Responsibilities

Manager, Data Science

Location: Lakeville, MN
Department: IT - Data & Analytics
Reports to: Associate Director, Data & Analytics
Job Type: Full-Time | Hybrid

Overview

Are you a strategic thinker who thrives on solving complex business challenges with data? Do you see opportunities where others see noise? At Post Consumer Brands (PCB), we're looking for a Manager of Data Science to lead our Decision Science team in transforming data into actionable insights and next-generation solutions.

This high-impact role will guide a team of Data Scientists and Machine Learning Engineers, collaborate across departments, and influence senior leaders to embrace data-driven innovation. You'll be at the forefront of building scalable solutions that drive revenue, optimize operations, and fuel a culture of continuous learning and improvement.

Key Responsibilities

Delivering Value

• Own end-to-end delivery of high-quality machine learning, generative AI, and advanced analytics solutions aligned with strategic objectives.
• Engage business leaders to understand challenges and recommend data-driven solutions.
• Lead advanced analytics projects, uncover insights, and deliver business impact.
• Communicate data stories effectively across all levels-from developers to C-suite.
• Develop scalable solutions for key functions like Manufacturing, Supply chain, and Marketing.
• Drive change management initiatives to build buy-in among divisions and senior leaders for the new internal practice.
• Lead the transition of Data Science and AI capabilities from Post Holdings (PHI) to PCB, ensuring continuity, integration of existing assets and processes, and documentation.

Cultivating a Data-Driven Culture

• Evangelize the use of Data Science and AI across Post Holdings.
• Lead user groups and adoption initiatives to spread knowledge and excitement.
• Understand business decision-making processes and embed data-driven practices.
• Drive enterprise-wide use of Data Science assets and ensure contextual delivery.
• Establish and scale PCB's internal Data Science and AI practice, including knowledge transfer from PHI and development of PCB-specific methodologies.

Innovation

• Stay ahead of emerging technologies in Data Science and Generative AI.
• Maintain a pipeline of ideas to generate value from data.
• Lead proof-of-concept projects from problem definition to implementation.
• Simplify architecture and tool selection through elegant design.

Developing Talent

• Mentor and coach team members to grow autonomy and leadership.
• Share best practices and foster a culture of continuous improvement.
• Align team capabilities with strategic goals and individual growth paths.
• Build and release AI/ML templates to empower data-driven productivity.
• Design and implement onboarding and upskilling programs for new team members to accelerate PCB's self-sufficiency.

Operational Excellence

• Manage resources and prioritize projects to align with company strategy.
• Oversee ML Ops, model deployment, and post-mortem analyses.
• Ensure reliability, scalability, and continuous improvement of models and solutions.
• Define and implement governance, best practices, and standards for Data Science and AI at PCB.
• Develop and track KPIs to measure progress toward self-sufficiency and practice maturity.

Qualifications

Required Qualifications

• 7-10 years of experience in Data Science, data engineering, or applied analytics.
• Bachelor's degree in a quantitative field; advanced degree preferred.
• 4+ years of experience with BI tools (Power BI, Tableau, etc.).
• 2+ years of experience managing people and projects.
• 4+ years of experience in Python and software development best practices.
• Experience with cloud ML platforms (Azure ML preferred).
• Strong communication skills and a passion for data-driven problem solving.

Preferred Qualifications

• 5+ years in consumer-packaged goods (CPG), with deep knowledge in sales, marketing, supply chain, or manufacturing.
• 3+ years in data engineering (ETL/ELT, SQL, Informatica, dbt).
• Familiarity with ERP systems (JDE, Oracle, SAP).
• Strong analytical, cognitive, and problem-solving skills.
• Ability to work with ambiguity and adapt to change.
• Experience managing competing priorities using Agile and Waterfall methods.

Why Join Us?

At Post Consumer Brands, we believe in the power of data to drive smarter decisions and better outcomes. You'll be part of a team that values innovation, collaboration, and personal growth-while respecting the balance between work and life.
The pay range for this position is $102,931 - $152,338 per year.