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Senior Process Improvement Engineering Project Manager

Job in Suffolk, Virginia, 23437, USA
Listing for: Smithfield Foods
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Systems Engineer, Data Science Manager
  • Engineering
    Systems Engineer, Data Science Manager, Operations Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Process Improvement Engineering Project Manager

If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub.

Have a seat at our table. When you join Smithfield, you become part of something special - a company that's sustainably feeding people around the world, producing good food the right way with respect for our people, animals, communities and planet. With opportunities across locations and functions, a culture grounded in our Core Four values - gratitude, communication, respect and accountability - and a strong commitment to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers where you can grow, contribute and make a real impact.

The

Value You’ll Bring

The position summary states the general nature and purpose of the job. Overall accountabilities are defined in this section.

What You’ll Do Operations Technology & Digital Manufacturing Leadership
  • Lead Operations Technology and digital manufacturing initiatives, including OEE platforms, machine connectivity, data historians, MES/MOM systems, and equipment-level data integration.
  • Own end-to-end project lifecycle management for Operations technology programs-from business case development and requirements definition through deployment, stabilization, and benefits realization.
  • Serve as the primary business owner for OEE and production intelligence platforms, ensuring data accuracy, usability, and alignment to operational KPIs.
  • Partner with Automation, Maintenance, Engineering, and IT/OT teams to define equipment data standards, connectivity requirements, and data governance models.
Equipment Data & Manufacturing Intelligence
  • Lead efforts to extract, contextualize, and standardize equipment-level data (PLC signals, downtime codes, production counts, quality data).
  • Translate manufacturing requirements into functional and technical requirements for automation engineers, integrators, and platform vendors.
  • Ensure manufacturing intelligence systems (OEE, dashboards, analytics) are driving actionable insights, not just reporting.
Project & Program Governance
  • Establish and manage multi-site Operations technology roadmaps, prioritizing initiatives based on value, readiness, and resource availability.
  • Develop and maintain project charters, business cases, ROI models, and risk registers for technology-enabled CI initiatives.
  • Lead cross-functional project teams and external vendors, ensuring alignment to scope, timelines, cybersecurity standards, and operational readiness.
  • Drive change management, adoption, and sustainment plans for digital and automation-enabled solutions.
Continuous Improvement Through Technology
  • Integrate Lean, M-IQ, and CI principles with digital and automation capabilities to accelerate waste elimination and performance improvement.
  • Identify opportunities where automation, digitization, or advanced analytics can remove manual processes, improve reliability, or enhance decision-making.
  • Ensure technology solutions support process repeatability, standard work, and operational discipline.
What We’re Seeking
  • Bachelor's degree in Engineering, Business or related field and 8+ years of manufacturing, maintenance, supply chain or engineering experience in a leadership role; or equivalent combination of education and experience.
  • 2+ years of demonstrated experience in team management/development or project leadership.
  • Five plus years of experience leading continuous improvement projects in manufacturing, maintenance, supply chain, distribution or engineering leadership role, preferred.
  • Demonstrated expertise in lean manufacturing and continuous improvement methodologies, including 5S, value stream mapping, and A3 problem solving.
  • Proven ability to lead and coach cross-functional teams, fostering high performance among both hourly and salaried personnel.
  • Strong analytical skills with experience in data-driven decision-making, root cause analysis, and statistical evaluation.
  • Proficient in Microsoft Office Suite, especially Excel; experience with SAP and aptitude for learning and training on new technologies.
  • Effective communicator with the ability to present technical…
Position Requirements
10+ Years work experience
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