Lead discovery, blueprinting, and process-design workshops, translate Sustainability & ESG needs into functional requirements, and enable self‑service analytics and AI‑enabled decision support for Hershey’s Sustainability strategy.
Compensation
The anticipated base salary range for this role is $91,120 to $113,900 per year.
Responsibilities
Lead discovery, blueprinting, and process‑design workshops
Translate Sustainability & ESG needs into functional requirements, use cases, user stories, business rules, controls, and acceptance criteria
Maintain requirements traceability and support prioritization, scope, functional decisions, risks, dependencies, and enhancement backlogs
Connect ESG business teams with Information Systems, data engineering, architecture, analytics, and implementation partners
Develop and lead user acceptance testing, coordinate business validation, and confirm delivered solutions meet agreed requirements
Requirements
Bachelor's degree in Business, Sustainability, Information Systems, Data Analytics, Supply Chain, Environmental Science, or a related field
Nice to have: knowledge of ESG frameworks and regulations such as the GHG Protocol, Extended Producer Responsibility, CSRD, climate‑related reporting, and human rights and environmental due diligence
Nice to have: experience with carbon accounting, responsible sourcing, packaging, supplier data, traceability, or ESG reporting
Nice to have: familiarity with SAP, Power BI, Databricks, Azure data platforms, Workiva, Watershed, Azure DevOps, or comparable platforms
Nice to have: experience with data governance, data products, master data, SQL, visualization, analytical modeling, conversational analytics, or low‑code/no‑code tools
Support analyst responsible for voice and conversational solutions across IVR and IVA platforms.
Responsibilities
Design and configure IVR call flows, menus, prompts, routing logic, queue treatments, business-hours rules, and transfer paths across contact center platforms.
Design, develop, and maintain IVA applications using natural language processing, conversational AI, and automation technologies.
Translate business and operational use cases into customer-focused call flows, intents, entities, dialogue paths, exception handling, and escalation journeys.
Create and maintain solution designs, call-flow diagrams, conversation designs, and support technical documentation.
Integrate IVR and IVA solutions with APIs, CRM platforms, telephony services, databases, authentication services, and other enterprise or third-party systems.
Assist in configuring and maintaining the technical pipelines required to run automated, context-aware marketing workflows across core scaled business programs.
Help build and curate our shared Skill library by drafting prompt chains and testing tool-calling capabilities that enable agents to execute tasks like content localization, asset generation, and conversational analytics.
Collaborate with Product Marketing Managers (PMMs) to map organizational marketing knowledge into structured schemas, helping maintain the EMEA Ads Marketing Context Graph and brand guidelines.
Participate in changing sprints alongside marketing partners to prototype agentic solutions for high-priority workflows, ensuring configurations align with team templates and best practices.
Build and maintain foundational datasets, analytics and automation capabilities to support supply chain decisions across Asia Pacific countries.
Responsibilities
Build and maintain reusable foundational datasets, data models and Power BI semantic models
Develop Power BI dashboards, reports and scorecards
Automate manual reporting, data preparation and repetitive analysis
Partner with supply chain, commercial, finance and technology teams to translate business questions into analytical requirements
Provide short-term integration project support through process mapping, data mapping and validation
Requirements
Bachelor's degree in Computer Science, Data Science, Business Analytics, Information Systems, Engineering, Mathematics, Statistics, Economics or a related quantitative discipline
Nice to have: experience in different aspects of the supply chain
Nice to have: working knowledge of Python for data manipulation, validation, analysis or automation
Establish and maintain strong data governance, quality, operational reliability, and ownership frameworks
Drive the adoption of AI, Generative AI, LLMs, AI agents, and conversational analytics
Translate business and analytical needs into data product requirements and actionable delivery plans
Requirements
Bachelor's degree in Business, Product Management, Data Analytics, Computer Science, Information Systems, Engineering, Statistics, Economics, or a related field (Master's degree preferred)
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