Data Science Manager

Since 1869 we've connected people through food they love. Our history was created by remarkable people, ideas, and innovations. It serves as inspiration and foundation for our future success. 
 
We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Michael Angelo’s, noosa, Pace, Pacific Foods, Prego, Rao’s Homemade, Swanson, and V8. In our Snacks division, we have brands like Cape Cod, Goldfish, Kettle Brand, Lance, Late July, Pepperidge Farm, Snack Factory, and Snyder's of Hanover.
 
We foster a culture of belonging where people come first, and diversity is embraced. And we live our values, always, while setting the highest standards for performance.
 
Here, you will make a difference every day. You will be part of a dynamic, collaborative, and competitive team. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

General Summary

The Data Science Manager - Procurement plays a pivotal role in enhancing the Procurement organization's capabilities through data science and advanced analytics. This position is responsible for contributing to the strategy and execution of initiatives that leverage data to drive efficiency, innovation, and decision-making processes. The role involves close collaboration with IT and cross-functional teams to develop and implement analytical tools and solutions that support the organization's growth objectives. This is an exciting opportunity to influence our procurement strategies by transforming insights into actionable foresights and optimizing our operations and contributing to the overall efficiency of the organization.

Principal Accountabilities

• Develop and execute an advanced analytics program to enhance procurement operations, reduce manual tasks, and improve decision-making speed.
• Align procurement risk management strategies with business objectives, incorporate predictive analytics for informed decision-making.
• Communicate data insights clearly to the Senior Leadership Team and engage with procurement teams to understand their needs and support them with data-driven solutions.
• Adopt and integrate AI and generative AI technologies to automate procurement processes, enhance decision-making, and identify innovative sourcing opportunities.
• Collaborate with IT and business partners to implement data-driven solutions for cost reduction and quality improvement.
• Identify revenue enhancement opportunities through data and forensic analytics, working closely with sales, marketing, and finance to align procurement strategies.
• Champion continuous improvement and professional development within the team, keeping up with industry trends and new technologies.
• Foster a culture of innovation, continuous learning, and collaboration, providing leadership and direction.

Job Complexity

• Collaborate effectively across all levels within the organization and with external suppliers in a matrixed environment to align on supply base design and strategic procurement decisions.
• Balance competing business requirements, such as cost versus innovation or local versus overall benefits, to negotiate and recommend optimal solutions.
• Navigate and refine complex data environments by spearheading the cleanup and organization of unstructured data, ensuring data quality and accessibility are maintained for effective analysis and insights despite initial data storage and accessibility challenges.
• Develop and utilize excellent communication and influence skills to build strong internal and external relationships and drive cross-functional results.
• Apply strategic thinking to support and advance procurement objectives in alignment with the Company's vision.
• Demonstrate a comprehensive understanding of industry costs, procurement methods, pricing practices, as well as the impact of government actions on commodities.

Minimum Qualifications

• Bachelors Degree Required and 6+ years’ experience in open source programming languages for large scale data analysis
• Or, Masters Degree and 4+ years’ experience in open source programming languages for large scale data analysis
• Or, PhD and 2+ years’ experience in open source programming languages for large scale data analysis
• Experience with econometric modeling, regression analytics or machine learning
• Experience with relational databases

Preferred Qualifications:

• Master's degree, or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Computer Science or related disciplines
• Experience in Python, Spark, Scala, or R for large scale data analysis
• Experience with econometric modeling, regression analytics or machine learning
• Experience working with Azure or AWS
• Experience in Supply Chain or Procurement

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between 

$85,900-$163,700

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.