Senior Manager Data Science/GenAI

Post Holdings, Inc.; Minnesota; On-site; USD 110,000 - 173,000; Full time

Job summary

A leading company in food and pet products seeks a Sr. Manager of Data Science and GenAI to drive innovative data solutions and strategic decisions. This role will lead a team to leverage big data analytics, enhance capabilities, and communicate insights for business growth. Ideal candidates possess strong technical skills in machine learning and data visualization, alongside a passion for applying data-driven solutions.

Qualifications

• 6-8 years leading data science projects.
• Familiarity with Python 3.x and machine learning frameworks.
• Experience with advanced data analysis libraries.

Responsibilities

• Lead a team of data scientists and innovate data solutions.
• Engage in AI/ML research for business applications.
• Design and deploy advanced data science models.

Skills

Data Analysis

Machine Learning

AI Knowledge

Project Management

Communication

Education

Bachelor’s degree

Advanced degree in relevant field

Tools

Python

Tableau

PowerBI

Microsoft Azure ML

Job description

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 www.postconsumerbrands.com 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, more recently, 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, Minn. 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

Do you see patterns or opportunities in data that others don’t see? Do you enjoy asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find innovative ways to tackle a problem and share the approach with others?

As a Sr. Manager of Data Science and GenAI at Post Consumer Brands, you will be at the forefront of leveraging data to drive strategic decisions and innovation. You will partner with business stakeholders to identify key business problems and opportunities, design and implement cutting-edge solutions, and communicate actionable insights to drive business growth. Leading a small team of Data Scientists, Machine Learning Engineers, and AI Specialists, you will foster a culture of innovation and excellence.

Major Job Activities and Duties

• Provide thought leadership and strategic thinking to translate business problems into analytical frameworks and recommend actions. You will be at the forefront of establishing Data Science capability at Post Consumer Brands, working closely with Post Holdings to leverage existing tools and standards, and making a significant impact by building next-generation data products for PCB.
• Engage in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems.
• You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation.
• Design, develop, and deploy advanced data science and generative AI models to address complex business challenges and promote data science adoption across the company.
• Partner with leaders in finance, manufacturing, supply chain, sales, and marketing to understand and prioritize the highest-value business problems/opportunities and create data science applications with quantifiable revenue lift, cost reduction/avoidance, and/or efficiency gain.
• Lead and mentor a team of data scientists, ML Engineers and AI Specialists fostering a collaborative and innovative environment. You have a passion for educating, training, developing technical talent to achieve great results and build a high performing team.
• Efficiently manage resources and prioritize projects to align with company strategy and top priorities.
• Collect, clean, and analyze data from various sources and prepare it for modeling and visualization.
• Responsible for ML Ops and model
• Do post-mortem analyses and evaluate analytics and modeling outputs for accuracy continuously and adjust models as necessary.
• Develop KPIs to track and communicate the business value of solutions implemented.
• Interpret and communicate the results and recommend actions to the relevant stakeholders in a clear and understandable manner.
• Develop clear and intuitive data visualizations and dashboards in Tableau or PowerBI.
• Effectively communicate project plans, roadmaps and status, priorities with stakeholders and teammates in a timely manner.
• Provide guidance, feedback, training, development and support to junior data scientists and ensure the quality and accuracy of their work.
• Educate Stakeholders on data science use cases, methods and ethics
• Demonstrated ability to effectively manage and prioritize projects with constrained resources, ensuring alignment with company strategy and top priorities. Proven resourcefulness in leveraging cross-functional resources to achieve business objectives.
• Implement a comprehensive GenAI strategy in collaboration with senior IT leaders across Post Holdings companies, ensuring alignment with organizational goals and leveraging existing technological frameworks.
• Evangelize and communicate the GenAI strategy to stakeholders at all levels to drive adoption and understanding. Partner with other IT teams that support users to ensure usage follows best practices and they can help support user.

Qualifications

Education: Bachelor’s degree from four-year college or university and advanced degree preferred (Computer Science, Management Information Systems, Economics, Finance, Business, Mathematics, Statistics, or other quantitative subject a plus) or seven to 10 years related experience; or equivalent combination of education and experience.

Experience:

• 6-8 years of proven experience leading collaborative data science projects with technical and non-technical stakeholders, driving and communicating tangible business value succinctly
• 4-6 years of development experience in an object-oriented programming language (Python 3.x preferred). Knowledge of software design (libraries, classes, functions), testing (logging, debugging), and versioning (Git, continuous deployment)
• Experience building products that use or incorporate Large Language Models.
• Experience with machine learning platforms and cloud computing, e.g., Microsoft Azure ML (preferred), Amazon SageMaker, Google Vertex AI
• Demonstrated expertise in open-source libraries for advanced data analysis, statistical/machine learning models, and optimization, e.g. Pandas, Sci-Kit learn, Scipy, and OR Tools for Python
• 4-6 years of experience designing solutions with business intelligence, reporting, or data visualization software packages (Tableau, PowerBI, Qlik, Looker, Cognos, R Shiny, D3, Python matplotlib)
• Excellent written and verbal communication skills, including the ability to concisely convey analytical interpretation and/or data issues to business functions.
• Ability to prioritize and manage multiple projects and competing priorities, and follow-through on committed deliverables using team-based project management with both Agile and Waterfall approaches to meet deadlines and deliver high-quality work.
• Complex relational database development, maintenance, and exception testing experience (Snowflake, Oracle, etc.).

The pay range for this position is $110,667 - $172,640 per year.