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Your Role as the Manager, Finance Technology Provide strategic guidance and direction across the Finance department, leveraging expertise in data analytics, data science, robotic process automation (RPA), and artificial intelligence (AI). Lead the evaluation and implementation of process improvements, ensuring alignment with the organization's vision and maximizing value through advanced technology solutions. By partnering with finance leadership and cross-functional teams, you will guide transformation initiatives, supports key projects, and foster a culture of continuous improvement. Emphasize development of technical skillsets within the team and maintaining strong governance and compliance standards to support both current and future business needs. Location: Orrville, OH Work Arrangements: hybrid, 40% in office expectation In this role you will:
The 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. What we are looking for: Minimum Requirements:
Bachelor's Degree in computer information systems, information technology, or related field 6+ years of experience in data & analytics, process automation, data science, and any other relevant technology field Understanding of relational databases and a knowledge of programming. Familiarity with certain languages (SQL, R, Python) Ability to manage and develop a team with varying levels of experience and exposure to business processes Experience in process improvement initiatives Strong business, financial, and technical acumen with attention to detail and creative problem-solving skills Ability to work with large data sets and a high comfort level in manipulating and analyzing complex, high-volume, high dimensionality data from varying sources and levels of quality Excellent written and verbal communication skills - able to communicate across functional areas and effectively communicate technical topics Strong understanding of concepts relating to data quality, data profiling, and enterprise data governance Continuous learning mindset necessary to advance the department as the company adopts new technologies for modelling, forecasting, machine learning, automation, etc.
Additional skills and experience that we think would make someone successful in this role:
Experience with Spotfire, Tableau, and Databricks Experience with Copilot or other AI tools Familiarity with Blue Prism or other RPA tools
Learn more about working at Smucker:
Helping our Employees Thrive Delivering on Our Purpose Our Continued Commitment to Ensuring a Workplace for All
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