Post Consumer Brands · 7 hours ago
Manager, Data Science
Lakeville, MN
Full-time
Hybrid
Senior Level
$103K/yr - $152K/yr
7+ years expPost Consumer Brands is headquartered in Lakeville, Minnesota, and is dedicated to providing people and their pets with delicious food choices. The Manager of Data Science will lead the Decision Science team, transforming data into actionable insights and driving data-driven innovation across the organization.
Consumer Goods
Hiring Manager
Sara Cooper
Responsibilities
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
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
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
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
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
Qualification
Required
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
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
Company
Post Consumer Brands
We are focused on growth, low cost operational excellence, and being a great place to do great work. We take the safety of our products
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Mike Midby
SVP, Chief Operations Officer
Brandon Roberts
Human Resources Business Partner
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