Role Description As a Senior Project Engineer Manager , you’ll own high-impact capital projects from idea to start-up ($50K–$15M) across Kerry’s Taste manufacturing network in North America. This is a hands-on, high-visibility role where you’ll modernize process manufacturing systems—spanning sanitary processing, aseptic systems, automation, bulk packing, facilities, utilities, and safety improvements—and help turn great concepts into reliable, day-one performance. If you’re energized by building what’s next and seeing your work come to life on the plant floor, you’ll thrive here. This role can be remotely located with the following restrictions: located in the eastern or central time zones, within a short commute to a major airport, travel ranging from 30-80% depending on project stage. Key Responsibilities - Own capital projects end-to-end—from concept and scope through design, installation, commissioning, and seamless handoff to Operations. - Collaborate with up to 5 manufacturing plants across North America (4 in the eastern time zone and 1 in the pacific time zone) to deliver projects to address the critical priorities of the manufacturing network. - Bring people together across Manufacturing, R&D, Finance, HSE, Quality, and Maintenance to define the need, align on priorities, and turn it into an executable plan. - Build and drive scope, budget, and schedule—balancing speed, cost, and quality while clearing roadblocks and accelerating decisions. - Create crisp engineering and capital-approval deliverables (charters, estimates, justifications, specifications) that set projects up for success. - Lead vendors, contractors, and internal experts—coordinating procurement, construction, and installation to deliver right-first-time execution. Collaborate with partner engineering firms to develop and deliver project scope. - Spot risk early and manage it proactively—ensuring safe execution and compliance with Kerry standards, OSHA/HSE requirements, and GMPs. - Keep stakeholders aligned with clear updates, smart escalation, and change management that protects schedule, cost, and outcomes. - Lead start-up and early equipment management to deliver stable, repeatable performance—and a confident ramp-up for the manufacturing teams. Qualifications - B.S. in Engineering (Chemical or Mechanical) from an ABET-accredited university. - 4+ years leading capital projects ($100K+) in a manufacturing environment—project engineering and/or project management. - Project management training or certification (e.g., PMP) is a plus. - Clear, confident communicator with strong technical writing and stakeholder management skills. - Experience as a process engineer or plant engineer based at a manufacturing site. - Manufacturing experience in food, beverages, consumer goods, chemical, or pharmaceutical environments preferred. - Exposure to aseptic bulk packing equipment preferred. - Strong working knowledge of Microsoft Word, PowerPoint, Excel, and Project; familiarity with AI tools (Copilot, ChatGPT, or similar) is a plus. - Familiarity with CAD software preferred. - Technologies in use at these sites include spray drying, powder blending, liquids mixing, coffee roasting, distillation, reverse osmosis, clean-in-place systems, sanitary piping, valve clusters and more. Requirements - The typical hiring range for this role is $88,100 to $144,000 annually and is based on several factors including but not limited to education, work experience, certifications, location, etc. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase and retirement contribution (all benefits and incentives are subject to eligibility requirements).

Role Description Crowe’s Technology Advisory (ITA) practice is seeking a Manager, Data Engineer to lead data platform engagements for clients across a range of industries. This individual will serve as the primary technical and delivery lead for data engineering initiatives, combining hands-on development expertise with project management and client advisory responsibilities. The ideal candidate brings deep programming proficiency alongside practical experience with modern data platform vendors, and is equally comfortable writing production-grade code and presenting architectural recommendations to senior client stakeholders. Key Responsibilities - Engagement Delivery - Lead end-to-end delivery of data engineering engagements, owning scope, quality, timeline, and client satisfaction. - Conduct discovery workshops to assess current-state data architectures, integration patterns, and platform maturity. - Author and present statements of work, technical proposals, and executive-level deliverables. - Serve as the senior escalation point for architectural decisions and complex technical issues across active engagements. - Solution Design & Development - Design and implement scalable data pipelines, ingestion frameworks, and transformation layers using platforms such as Microsoft Fabric, Databricks, and MuleSoft. - Write, review, and optimize production code in Python, SQL, and/or Scala; enforce code quality standards and best practices across the engagement team. - Architect cloud environments and govern data modeling decisions. - Evaluate and recommend vendor solutions aligned to client use cases, data volumes, and existing technology landscape. - Integrate structured and unstructured data sources, including APIs, event streams, and enterprise applications. - Team & Stakeholder Management - Manage and mentor team members, providing technical guidance and career development support. - Collaborate with client executive, data, analytics, and IT teams to align delivery priorities and ensure adoption of engineered solutions. - Coordinate across workstreams (M&A, Integrations, Data Governance, Analytics, Cloud Infrastructure) to ensure cohesive platform delivery. - Practice Development - Contribute to the development of reusable accelerators, delivery playbooks, and platform standards within the practice. - Support business development activities including RFP responses, capability demonstrations, and client presentations. - Stay current on emerging data engineering tools, frameworks, and vendor roadmaps; share knowledge across the practice. Qualifications - Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field required. - Microsoft Certified: Fabric Analytics Engineer Associate or Azure Data Engineer Associate preferred. - Databricks Certified Data Engineer Associate or Professional a plus. Requirements - 5–8+ years of progressive experience in data engineering, data platform development, or technical consulting. - Demonstrated experience leading data platform builds, migrations, or integration programs in a client-facing or consulting environment. - Prior experience managing or mentoring technical team members. - Private Equity or Financial Services sector experience is a plus. Benefits - Comprehensive total rewards package. - Inclusive culture that values diversity. - Consistent meetings with a Career Coach for career goals and aspirations.

• Lead engineering for the Entri “schedule maximizer” and “order facilitator” systems • Stay close to the technology while leading the team by driving architecture, participating in design decisions, and stepping in on complex production issues • Lead modernization of legacy desktop applications into scalable SaaS products while driving adoption of the enterprise data platform to improve performance and system efficiency • Develop engineers through mentorship, coaching, and structured knowledge sharing • Work in a pod-based model where engineering and product jointly influence roadmap decisions

Role Description Crowe’s Technology Advisory (ITA) practice is seeking a Manager, Data Engineer to lead data platform engagements for clients across a range of industries. This individual will serve as the primary technical and delivery lead for data engineering initiatives, combining hands-on development expertise with project management and client advisory responsibilities. The ideal candidate brings deep programming proficiency alongside practical experience with modern data platform vendors, and is equally comfortable writing production-grade code and presenting architectural recommendations to senior client stakeholders. Key Responsibilities - Engagement Delivery - Lead end-to-end delivery of data engineering engagements, owning scope, quality, timeline, and client satisfaction. - Conduct discovery workshops to assess current-state data architectures, integration patterns, and platform maturity. - Author and present statements of work, technical proposals, and executive-level deliverables. - Serve as the senior escalation point for architectural decisions and complex technical issues across active engagements. - Solution Design & Development - Design and implement scalable data pipelines, ingestion frameworks, and transformation layers using platforms such as Microsoft Fabric, Databricks, and MuleSoft. - Write, review, and optimize production code in Python, SQL, and/or Scala; enforce code quality standards and best practices across the engagement team. - Architect cloud environments and govern data modeling decisions. - Evaluate and recommend vendor solutions aligned to client use cases, data volumes, and existing technology landscape. - Integrate structured and unstructured data sources, including APIs, event streams, and enterprise applications. - Team & Stakeholder Management - Manage and mentor team members, providing technical guidance and career development support. - Collaborate with client executive, data, analytics, and IT teams to align delivery priorities and ensure adoption of engineered solutions. - Coordinate across workstreams (M&A, Integrations, Data Governance, Analytics, Cloud Infrastructure) to ensure cohesive platform delivery. - Practice Development - Contribute to the development of reusable accelerators, delivery playbooks, and platform standards within the practice. - Support business development activities including RFP responses, capability demonstrations, and client presentations. - Stay current on emerging data engineering tools, frameworks, and vendor roadmaps; share knowledge across the practice. Qualifications - Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field required. - Microsoft Certified: Fabric Analytics Engineer Associate or Azure Data Engineer Associate preferred. - Databricks Certified Data Engineer Associate or Professional a plus. Requirements - 5–8+ years of progressive experience in data engineering, data platform development, or technical consulting. - Demonstrated experience leading data platform builds, migrations, or integration programs in a client-facing or consulting environment. - Prior experience managing or mentoring technical team members. - Private Equity or Financial Services sector experience is a plus. Benefits - Comprehensive total rewards package. - Inclusive culture that values diversity. - Consistent meetings with a Career Coach to guide career goals and aspirations.