Hershey's manufacturing network needs to enhance operational performance through data-centric initiatives, optimize production processes, improve efficiency, and augment, optimize, and automate decision-making as part of their digital transformation journey.
Requirements
- Experience with tools such as SQL, Python, and data visualization software.
- Familiarity with supply chain management systems and processes is advantageous.
- Strong analytical skills for data-driven decision-making
- Ability to write clear user stories with well-defined acceptance criteria and technical documentation.
- Understanding of data management principles, practices, and technologies with the ability to factor in data needs into project requirements.
- Deep understanding of manufacturing technology and processes
Responsibilities
- Leverage manufacturing knowledge to identify high-impact opportunities for digital augmentation and automation.
- Deliver actionable use cases that leverage data science, predictive models, machine learning and AI that support real-time and strategic decision-making; continuously analyze data to identify product improvement opportunities.
- Develop and enforce data management frameworks to ensure high-quality, reliable data for operational decision-making.
- Lead agile development cycles, prioritizing features that deliver measurable improvements in throughput, quality, and cost.
- Manage program development and projects, ensuring alignment with supply chain objectives and business goals.
- Oversee project timelines, budgets, resources, and cross departmental coordination needed to achieve successful outcomes.
- Experience with tools such as SQL, Python, and data visualization software.
Other
- Manufacturing Optimization Product Strategy: With Digital Factory leadership, defines and develops product roadmap focused on manufacturing optimization, aligning with business and technical goals.
- Cross-Functional Collaboration: Partner with manufacturing, engineering, IT, and plant operations to define value-driven use cases and co-create solutions that integrate seamlessly into manufacturing workflows.
- Vendor Engagement & Solution Evaluation: Evaluate external technology vendors and platforms to support manufacturing optimization goals.
- Change Enablement: Lead change management efforts to ensure successful deployment, adoption, and scaling of new digital capabilities across the manufacturing network.
- Business fundamentals: Manufacturing experience, financial management, metrics reporting, business process management, customer centricity, business analysis and problem solving.
- Product Management: Deep understanding of manufacturing technology and processes; Project management and problem-solving abilities.
- Strategic Planning: Adept ability to align product strategy with long-term business goals.
