Careers at Smucker

Your Opportunity as the Associate Manager, Quality Assurance This role ensures co-manufactured, co-packed, and repacked products meet FDA and JMS quality and food safety standards through effective oversight of external manufacturing facilities, personnel , and QA and operational programs. Location: Orrville, OH Work Arrangements: Monday to Friday - Hybrid In this role you will: Lead and support co-pack/co-man partnerships by auditing, managing relationship, and seeking continuous improvement opportunities. Support R&D teams during on-site production start-ups, trials, and commercialization activities to ensure quality and food safety expectations are met. Maintain current, accurate, and copacker documentation to support TraceGains requirements. Manage, share, and update Prodika specification systems to ensure product information remains accurate, complete, and aligned with business needs. Partner with cross-functional teams to advance innovation, transformation projects, portfolio changes, and other strategic business initiatives. Contribute to additional quality assurance projects and business priorities as needed – complaint management, ETQ Holds, scorecard ownership, and other activities pertinent to achieving high co-pack/co-man standards. What we are looking for: Minimum Requirements: Bachelor's degree is required in Food Science or related scientific degree Minimum 2-3 years of quality/food safety experience in food manufacturing plant environment Preventive Controls Qualified Individual (human or animal food) or HACCP experience is preferred Additional skills and experience that we think would make someone successful in this role: Solid working knowledge of quality assurance, food manufacturing, food safety, processing, packaging, and distribution Strong ability to work in cross-functional & team-oriented environment with multiple disciplines Proven capabilities in project management Better Process Control School Certified Self-starter; take charge, positive & proactive attitude Ability to lead several projects altogether and concurrently Detail & process oriented with strong problem-solving skillsets Strong computer skills (Excel, Word, PowerPoint); other systems desired (ETQ, Prodika, SharePoint, TraceGains, Centric, etc.) Ability to communicate clearly within the organization and externally Excellent written and verbal communication skills High emotional intelligence and ability to work with ever changing conditions Position may require up to 40% travel annually 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. Stay connected with us on LinkedIn® We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

Your Opportunity as the Data Architect, Enterprise Data Platform The Data Architect is responsible for designing and maintaining enterprise data models that support analytics, reporting, and data-driven decision making. This role ensures that data structures are scalable, consistent, and aligned to business needs, while supporting efficient data consumption across the organization. The Data Architect contributes to enterprise analytics data governance and modeling standards by defining data structures, validating implementations, improving model quality and consistency, and working across data domains to ensure alignment between source data, engineered data layers, and published analytics assets. This role applies and enforces dimensional modeling best practices using star schema design, including fact and dimension tables, conformed dimensions, and standardized metrics. Data models are designed to support a unified semantic layer and enable accurate, consistent reporting across tools such as Tableau. Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires In this role you will: Data Modeling & Design Design, develop, and maintain dimensional data models using star schema methodology, including defining fact tables, dimension tables, grain, and relationships that support enterprise analytics and reporting. Ensure models are optimized for performance, scalability, and usability. Create and maintain conceptual, logical, and physical data models using appropriate modeling tools. Analyze and profile new data sources to understand structure, quality, relationships, and business context, informing appropriate modeling and architecture decisions. Model Quality & Standards Apply enterprise data modeling standards and best practices across all solutions. Validate data models for consistency, accuracy, and alignment with business requirements. Identify and resolve issues related to duplication, inconsistency, poor model design, or data quality concerns that impact analytics and reporting. Improve data model usability and clarity for downstream analytics and reporting. Represent the Enterprise Data Platform team in architecture review boards and design reviews, providing guidance on data modeling, semantic consistency, and analytics architecture considerations. Semantic Alignment & Analytics Support Establish and maintain a consistent semantic layer, including standardized metrics, dimensions, and business logic that support trusted analytics and reporting. Align data models with reporting requirements, certified data sources, and enterprise analytics standards. Support analytics teams by providing clear, well-structured, and consumable data models. Data Architecture & Solution Design Develop and guide data architecture decisions related to data structures and design patterns. Collaborate with Data Engineers to ensure data pipeline implementations align with the intent of approved data models, enterprise standards, and architectural best practices while meeting performance and scalability requirements. Partner with Data Owners, domain experts, engineers, and analytics teams to align data models with business processes, priorities, and enterprise standards. Recommend improvements to data design, storage, and structure. Ensure alignment across source, transformed, and published data layers. Governance & Documentation Support metadata, lineage, and documentation standards. Define and document data models, including structure, definitions, and usage guidance. Ensure models align with governance standards for ownership, classification, and compliance. Contribute to improving discoverability and trust in enterprise data. Collaborate with platform, governance, and security teams to ensure data models and architecture designs align with enterprise security, privacy, data classification, and access control standards. What we are looking for Minimum Requirements: Bachelor’s degree, equivalent experience or specialized training in Information Technology 8+ years of experience in data modeling, data architecture, analytics, or senior data engineering environments Demonstrated ability to collaborate effectively across technical teams, business stakeholders, and data domain partners to drive alignment and adoption Advanced SQL skills and experience working with large datasets Experience designing data models, metadata structures, and semantic foundations that support trusted analytics, reporting, and emerging AI use cases Experience with Databricks, lakehouse architectures, or similar modern cloud data platforms Strong understanding of data structures, relationships, and performance optimization Ability to think critically and conceptually, communicate complex data architecture topics clearly, and adapt recommendations for both technical and nontechnical audiences Additional skills and experience that we think would make someone successful in this role (not required): Experience creating and maintaining conceptual, logical, and physical data models using enterprise modeling tools such as ER/Studio, Erwin, or equivalent platforms Experience leveraging metadata management, data catalog, lineage, and governance capabilities to improve data discoverability, traceability, and trust across enterprise analytics environments, including platforms such as Atlan or similar solutions Experience working across multiple areas of the analytics lifecycle, including data engineering, data modeling, and business intelligence/reporting solutions Familiarity with Python and modern data engineering workflows Familiarity with source control and collaborative development practices (e.g., Git, GitHub, Azure DevOps) Understanding of modern data platform concepts and workflows Understanding of how data architecture, metadata, and governance enable trusted analytics and AI solutions 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. Stay connected with us on LinkedIn® We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

Your Opportunity as the Lead Platform Engineer, Enterprise Data Platform The Lead Platform Engineer serves as the technical authority responsible for defining the administration, governance, and operational excellence of the Enterprise Data Platform. This role drives platform standardization, performance, governance, and usability, ensuring that analytics, data science, and data engineering teams can efficiently build, access, and trust data products. The role is accountable for end-to-end platform health, including Tableau Cloud administration, Databricks platform configuration, Atlan configuration and overall ecosystem reliability. It establishes the technical foundation that supports scalable analytics, models, reporting, and data engineering workloads across the enterprise. Location: Orrville, OH (Close proximity to Cleveland/Akron) Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires In this role you will: Platform Architecture & Standards Define, implement, and govern platform administration, standards, architectural patterns, and operational guardrails across Tableau Cloud, Databricks, Atlan, and related analytics technologies. Establish scalable and secure platform architectures, including environment strategy, permissions models, workspace design, content promotion, job orchestration, and compute governance. Standardize deployment, configuration, and operational processes to improve consistency, reliability, and maintainability across the analytics ecosystem. Drive adoption of platform best practices through collaboration with engineering, architecture, security, and business teams while ensuring alignment with enterprise governance and data management policies. Platform Enablement Lead Databricks database administration practices, including Unity Catalog governance, schema and metadata management, performance optimization, storage lifecycle management, data retention, and access control standards Define how platform capabilities are used to support scalable analytics and data pipelines Establish standards for job execution and scheduling Ensure platform supports medallion architecture patterns and modern ingestion approaches Reliability, Observability & Performance Own the monitoring, observability, and operational health strategy for Tableau Cloud, Databricks, Atlan, and related analytics platforms. Establish proactive health checks, alerting frameworks, and performance monitoring capabilities to ensure platform reliability, availability, and service quality. Drive continuous optimization of platform performance by identifying and resolving issues affecting dashboards, data pipelines, compute resources, and end-user experience. Define, monitor, and communicate platform SLAs, KPIs, and operational metrics while leading vendor engagement and escalation management to support service excellence. DevOps & Automation Define, design and implement DevOps standards, deployment processes, and release management practices across Tableau Cloud, Databricks, Atlan, and supporting platform technologies. Design, implement, and continuously improve CI/CD processes that enable secure, reliable, and repeatable deployment of platform configurations, analytics assets, and data products. Establish Infrastructure-as-Code (IaC) standards to improve consistency, scalability, auditability, and operational efficiency across environments. Drive automation of platform provisioning, configuration management, access controls, monitoring, and operational processes to reduce manual administration and improve service quality. Cost Optimization & Efficiency Design and implement platform cost management standards, ensuring efficient utilization of compute, storage, licensing, and infrastructure resources. Monitor platform consumption and performance metrics to identify optimization opportunities and drive cost-effective, scalable platform operations. Platform Operations & Lifecycle Management Own platform operations, incident management, escalations, and root cause analysis, driving corrective actions that improve platform reliability and service quality. Lead platform releases, upgrades, change management, and deployment governance, including testing, validation, communication, and rollback planning. Partner with Risk, Security, and Governance teams to ensure audit readiness, disaster recovery, business continuity, and adherence to enterprise compliance requirements. Product management Manage strategic vendor relationships and partnership activities, collaborating with platform owners and technology leaders to evaluate vendor roadmaps, influence product direction, and drive adoption of capabilities that deliver measurable business value. Assess platform investments, vendor offerings, and emerging technologies to ensure platform capabilities, contracts, and roadmaps align with organizational objectives and long-term platform strategy. What we are looking for: Minimum Requirements: Bachelor’s degree or equivalent experience 5+ years of experience in platform engineering, analytics platform administration, or data platform roles Strong experience supporting enterprise-scale Tableau and analytics environments Proven ability to define platform standards and drive adoption at scale Experience supporting modern data platforms and cloud-based analytics ecosystems Experience operating within data transformation or modernization initiatives Demonstrated success leading complex cross-functional initiatives involving Architecture, Security, Infrastructure, Governance, Data Engineering, and Analytics teams Deep expertise in Databricks, Tableau or related administration and optimization Strong experience with Databricks administration, platform configuration and operations Advanced understanding of analytics platform design and data access patterns Experience implementing monitoring, observability, and performance tuning solutions Strong knowledge of data governance, security, and access control frameworks Python, Terraform, SQL Additional skills and experience that we think would make someone successful in this role (not required): Audit and compliance controls Catalog and governance tools such as Atlan Medallion architecture and data modeling concepts Cloud platforms like AWS Data ingestion platforms such as Fivetran CI/CD, automation, and deployment practices Cloud platform concepts and data storage architectures Analytics Platform support with current and future AI capabilities 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. Stay connected with us on LinkedIn® We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.