Product Owner, Enterprise Manufacturing Systems

Posted Yesterday
Be an Early Applicant
Arden Hills, MN, USA
In-Office
142K-213K Annually
Senior level
Retail
The Role
Own the enterprise strategy, roadmap, governance, and delivery of manufacturing systems across multiple sites. Integrate ERP, MES, SCADA, historians, plant-floor data, analytics, and OT/IT platforms to improve production execution, traceability, quality, yield, throughput, and downtime management. Lead cross-functional implementation programs, stakeholder partnerships, vendor relationships, adoption efforts, and a team of technology professionals while ensuring cybersecurity, data governance, architecture, and operational requirements are met.
Summary Generated by Built In
Product Owner, Enterprise Manufacturing Systems

We are seeking a Product Owner, Enterprise Manufacturing Systems to lead the enterprise strategy and delivery of manufacturing systems that enable connected, data-driven operations across our manufacturing network. This Senior Manager serves as the enterprise owner and integration leader for manufacturing systems that connect physical manufacturing operations to business processes, analytics, and digital transformation outcomes. This role translates plant needs and Digital Manufacturing strategy into practical capabilities that improve execution, visibility, traceability, yield, downtime management, quality, throughput, and data-driven performance management. This role will lead and develop a high-performing team of technology professionals by fostering a culture of collaboration, innovation, and continuous improvement.  The ideal candidate brings strong manufacturing systems expertise, operational credibility, cross-functional leadership, and the ability to partner across controls engineering, operations, IT, cybersecurity, and analytics to execute the Digital Manufacturing strategy.

Key Responsibilities in this role will include:

1. Enterprise Manufacturing Systems Strategy and Roadmap

·   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.

2. ERP Manufacturing Process Integration

·   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.

3. Plant-Floor Data Collection and OT/IT Integration

·   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 appropriate mechanisms such as 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.

4. Program Delivery, Governance, and Adoption

·   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.

Required Qualifications:

·   Bachelor degree in Engineering, Computer Science, Information Systems, Operations Management, or a related field, or equivalent practical experience.

·   8 or more years of experience in digital manufacturing, manufacturing execution systems, supply chain technology, or related manufacturing 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.

Preferred Qualifications:

·   Experience enabling manufacturing data into Snowflake or other enterprise data platforms.

·   Familiarity with data engineering concepts, manufacturing analytics, Power BI or Tableau, and common manufacturing data models.

·   Understanding of OT cybersecurity, network segmentation, access control, disaster recovery, and support models for manufacturing environments.

·   Experience building governance, capability models, templates, standards, and deployment playbooks across a manufacturing network.

Salary Range: $142,160 - $213,240. In most cases, candidates offered employment expect to be hired at a pay rate near the middle of our salary ranges

About Land O'Lakes, Inc.

Join us and be part of a Fortune 250, farmer- and member-owned cooperative that is reimagining the business of food. We have been named a Top Workplace by Indeed and LinkedIn, and to the TIME 100 Most Influential Companies list.

We provide a broad portfolio of benefits to keep you and your family at your best. Land O'Lakes is Where Your Future Takes Root.

Land O’Lakes and our global entities support diversity in employment practices.

Neither Land O’Lakes, nor its affiliates or search firms, will ever contact you and ask for confidential information over the phone or in email. If you receive a call or email like this, please do not provide the information being requested.    

                                                                                                  

If you need to submit a reasonable accommodation request to complete the employment application process, please call the HR Solution Center at 844-LOL-HR4U (844-565-4748) M-F 8:00am-4:30pm CT. 

Skills Required

  • Bachelor's degree in Engineering, Computer Science, Information Systems, Operations Management, a related field, or equivalent practical experience
  • At least 8 years of experience in digital manufacturing, manufacturing execution systems, supply chain technology, or related manufacturing 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
  • 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
  • Proven people leadership, stakeholder management, vendor management, and program delivery capabilities
  • Ability to travel up to 25% of the time
  • Experience enabling manufacturing data into Snowflake or other enterprise data platforms
  • Familiarity with data engineering concepts, manufacturing analytics, Power BI or Tableau, and common manufacturing data models
  • Understanding of OT cybersecurity, network segmentation, access control, disaster recovery, and manufacturing-environment support models
  • Experience building governance, capability models, templates, standards, and deployment playbooks across a manufacturing network

Land O'Lakes, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Land O'Lakes, Inc. and has not been reviewed or approved by Land O'Lakes, Inc..

  • Retirement Support Retirement programs include automatic company contributions to retirement savings and additional support via 401(k) and HSA contributions. Legacy eligibility for a pension plan adds further long‑term security for some employees.
  • Healthcare Strength Health coverage includes medical, dental, vision, and mental health support with confidential counseling and free therapy or coaching sessions for employees and dependents. Benefits begin on the start date, removing prior waiting periods.
  • Leave & Time Off Breadth Paid time off, holidays, and paid leaves cover disability, parental, maternity, and caregiving needs. Caregiver and parental leave policies have been expanded to cover broader family situations, including foster placements prior to adoption.

Land O'Lakes, Inc. Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Arden Hills, Minnesota
6,501 Employees
Year Founded: 1921

What We Do

Land O’Lakes, Inc. is a 100-year-old farmer- and retailer-owned cooperative originally formed with the purpose of working together to create new market opportunities. Fast forward to today and we’ve built on that uniting spirit, developing a comprehensive and leading view of agriculture while maintaining an unwavering commitment to delivering strong annual performance and long-term, shared success with our member-owners. Land O’Lakes believes farmers are the entrepreneurs who truly change the world for the better. By working together with our member-owners, we can continue to strengthen our system, champion farming’s true potential and place our farmer- and retail-owners at the heart of creating a better world for all.

Similar Jobs

Pfizer Logo Pfizer

Patient Support & Advocacy Navigator

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
2 Locations
121990 Employees
139K-232K Annually

Optum Logo Optum

Consultant

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Eden Prairie, MN, USA
160000 Employees
92K-164K Annually

Optum Logo Optum

Capability Manager Home and Community Care Delivery - Remote

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Eden Prairie, MN, USA
160000 Employees
92K-164K Annually

Optum Logo Optum

Senior Data Scientist

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Minnetonka, MN, USA
160000 Employees
92K-164K Annually

Similar Companies Hiring

Tastewise Thumbnail
Artificial Intelligence • Big Data • Food • Retail • Software • Generative AI • Big Data Analytics
NYC, NYC
120 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account