Senior Product Owner - Enterprise Manufacturing Systems

Land O'Lakes

Arden Hills (MN)

On-site

USD 142,000 - 213,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Land O’Lakes is seeking a Product Owner for Enterprise Manufacturing Systems to lead the enterprise strategy and delivery of manufacturing systems across our network. You will own the roadmap for ERP manufacturing capabilities, drive integration across MES/ERP/SCADA, and partner with controls engineering, IT, and analytics to enable data-driven operations.

You will lead a team of professionals, drive governance and adoption, and ensure cybersecurity and data governance requirements are met.

Qualifications

Bachelor degree in Engineering, Computer Science, Information Systems, Operations Management, or a related field, or equivalent practical experience.
8+ years of experience in digital manufacturing, MES, supply chain tech, or related roles.
Experience leading cross-functional supply chain technology programs across multiple sites or business units.
Strong understanding of manufacturing operations, production execution, material flow, quality processes, traceability, yield, downtime, and operational performance metrics.
Experience partnering with controls engineering, plant operations, IT, cybersecurity, enterprise architecture, analytics, and external vendors.
Demonstrated ability to translate business requirements into scalable technology capabilities and practical implementation plans.
Experience serving as a product or capability owner for digital systems, including roadmap ownership, backlog prioritization, stakeholder alignment, value realization, and governance of manufacturing technology products.
Proven people leadership, stakeholder management, vendor management, and program delivery capability.
Ability to travel up to 25% of the time.

Responsibilities

Own and maintain the enterprise roadmap for ERP manufacturing capabilities, plant-floor data collection, historians, integration platforms, and related digital manufacturing solutions.
Translate Digital Manufacturing strategy into scalable system capabilities, deployment plans, standards, and governance practices.
Define where capabilities should reside across ERP, MES, SCADA, historian, edge, integration, enterprise data platform, and analytics layers.
Rationalize legacy or redundant manufacturing applications and drive standardization across sites where appropriate.
Prioritize investments based on business value, risk reduction, operational readiness, technical feasibility, and scalability.
Represent manufacturing needs in ERP process design, including process orders, bills of material, recipes, routings, confirmations, goods issue, goods receipt, inventory movements, batch management, and traceability.
Partner with Operations and SC Engineering teams to define how ERP manufacturing functionality should interact with MES, SCADA, historians, warehouse systems, quality systems, and data platforms.
Improve manufacturing master data quality and governance required for digital execution and analytics.
Support ERP transformation programs by ensuring plant-level execution needs are understood and incorporated into end-to-end designs.
Define strategy and standards for collecting data from PLCs, SCADA, historians, sensors, equipment systems, operator inputs, lab systems, and other manufacturing sources.
Ensure plant-floor data is contextualized with production orders, materials, assets, lines, shifts, batches, downtime events, quality results, and operational states.
Partner closely with Controls Engineering to align on tag standards, asset hierarchy, historian strategy, connectivity patterns, data ownership, and operational reliability.
Partner with Technology teams to establish secure, scalable OT/IT integration patterns using historians, OPC, MQTT, APIs, edge platforms, or middleware.
Partner with Manufacturing Analytics to ensure systems produce accurate, contextualized, analytics-ready data for reporting, data engineering, data science, and visualization.
Lead cross-site implementation programs including requirements, solution design, testing, deployment planning, training, change management, hypercare, and support transition.
Establish governance forums, intake processes, prioritization methods, decision rights, and system lifecycle management practices.
Build strong partnerships with plant leadership, operators, supervisors, quality, maintenance, engineering, supply chain, IT, and external vendors.
Ensure systems comply with cybersecurity, access control, business continuity, data governance, and enterprise architecture requirements.
Build and lead a capable team of software engineers, business analysts, implementation resources, and platform support partners.