Lead Developer, Finance Technology

The J.M. Smucker Co.•Orrville, OH

2d•Hybrid

About The Position

Your Opportunity as the Lead Developer, Finance Technology Support technical leadership and strategic direction for advanced analytics, RPA/automation, and digital tools supporting Finance and the broader organization. Architect high‑impact solutions, support compliance standards, mentor team members (including interns), and champion effective, responsible AI adoption. Location: Orrville, OH Work Arrangements: Hybrid, 40% in office (9 days a month) In this role you will: Technical Guidance, Architecture Insight, & Solution Support Provide architectural input and hands‑on support for advanced analytics, data pipelines, and automation solutions. Contribute to standards, design decisions, and solution patterns to promote scalability, reliability, and alignment with enterprise and Finance strategies. Automation & Workflow Modernization Support Support the identification, design, and deployment of RPA and AI‑enabled automation solutions that reduce manual effort and improve cycle times. Participate across the automation lifecycle and collaborate with COE/IT teams to reinforce governance and sustainability. Help colleagues recognize automation opportunities and understand how AI + automation can modernize Finance workflows. Advanced Analytics, AI, & Predictive Modeling Enablement Assist in developing and enhancing statistical and machine‑learning models. Partner with teams to integrate predictive and AI‑driven insights into decision‑making and help promote responsible, effective usage patterns that strengthen analytical maturity. Business Transformation, Reporting, & Governance Enablement Contribute to technology‑driven process improvements across Finance by equipping teams with modern tools, methods, and best practices. Support enterprise reporting processes and help reinforce data governance, audit, and SOX requirements through collaborative stewardship and cross-functional partnership. What we are looking for: Minimum Requirements: Bachelor's degree in Computer Science, Data Analytics, Business Analytics, Data Science, Information Systems, or related field 5+ years in analytics, programming, automation, or advanced data roles Experience with R/Python and SQL; proven delivery with BI tools and production model operations Experience with RPA platforms (e.g., Blue Prism/UiPath/Automation Anywhere) Strong experience with stakeholder management and communication Demonstrated ability to support teams in applying AI and automation effectively Continuous learning mindset and passion for emerging technologies Right Place for You We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs. Stay connected with us on LinkedIn® #LI-Hybrid We are a community of passionate, talented professionals committed to making food people and pets love while supporting all those who count on our business. We celebrate the uniqueness of each individual, promote their development and growth and ensure effective collaboration and continued productivity to drive the success of our organization. You deserve a positive and encouraging work environment. One that allows you to deliver your best work and become your best professional self. That is exactly what you will find at Smucker. Inspired by our unique culture, we are determined to support every employee holistically by meeting their physical, emotional and financial needs through: Our Total Rewards benefits Continuous opportunities to learn, grow and develop Our continued progress to become an inclusive and diverse organization. We are taking meaningful steps to enhance the inclusivity of our workplace and the diversity of our organization. Learn more We believe success is driving business growth while also helping those associated with our Company thrive. Learn more The J. M. Smucker Co. (the “Company”) is an Equal Opportunity Employer. No person will be discriminated against in hiring or in any other aspect of their employment on the basis of race, color, religion, sex (including pregnancy), age, national origin, ancestry, citizenship status, sexual orientation, gender identity or expression, transgender status, marital status, familial status, disability, genetic information, protected veteran/military status, or any other characteristic protected by applicable federal, state or local law.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Business Analytics, Data Science, Information Systems, or related field
5+ years in analytics, programming, automation, or advanced data roles
Experience with R/Python and SQL; proven delivery with BI tools and production model operations
Experience with RPA platforms (e.g., Blue Prism/UiPath/Automation Anywhere)
Strong experience with stakeholder management and communication
Demonstrated ability to support teams in applying AI and automation effectively
Continuous learning mindset and passion for emerging technologies

Responsibilities

Provide architectural input and hands‑on support for advanced analytics, data pipelines, and automation solutions.
Contribute to standards, design decisions, and solution patterns to promote scalability, reliability, and alignment with enterprise and Finance strategies.
Support the identification, design, and deployment of RPA and AI‑enabled automation solutions that reduce manual effort and improve cycle times.
Participate across the automation lifecycle and collaborate with COE/IT teams to reinforce governance and sustainability.
Help colleagues recognize automation opportunities and understand how AI + automation can modernize Finance workflows.
Assist in developing and enhancing statistical and machine‑learning models.
Partner with teams to integrate predictive and AI‑driven insights into decision‑making and help promote responsible, effective usage patterns that strengthen analytical maturity.
Contribute to technology‑driven process improvements across Finance by equipping teams with modern tools, methods, and best practices.
Support enterprise reporting processes and help reinforce data governance, audit, and SOX requirements through collaborative stewardship and cross-functional partnership.