Lead Process Manager - Supply Chain Operations (Sortation Centers)

The pay range is $95,000.00 - $171,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at .

As a Lead Process Manager 6 Sort Centers in Supply Chain Operations, you will act as a performance and process improvement leader responsible for identifying material operational losses, establishing the conditions causing those losses, and designing, testing, and scaling process improvements that produce measurable and sustained business results. You will combine deep operational knowledge with quantitative analysis, direct observation, structured root-cause problem solving, process improvement, and experimentation to translate performance gaps into validated changes to work methods, flow, staffing, standard work, and operating routines

A key focus of this role will be identifying and delivering process improvement opportunities that reduce operating costs, eliminate waste, and improve productivity while maintaining the appropriate balance across Safety, Quality, Delivery, Productivity, and Capacity. You will leverage Continuous Improvement tools and direct observation of operations 6including time studies, process observations, waste identification, root cause analysis, Value Stream Mapping, and Standardized Work, Engineered Labor Standards (ELS)/Productivity Performance insights, and Field leader insights 6to understand current-state performance, identify process gaps and non-value-added activity, quantify improvement opportunities, and develop sustainable solutions.

You will mentor, influence, teach, and train leaders and business partners to ensure the successful deployment and sustainment of Standard Work while ensuring balanced process development and execution across top-line metrics. You will use data and structured problem solving methodologies to move from problem identification through root cause, countermeasure development, implementation, and validation of results.

In partnership with building leaders and HQ business partners, you will use performance data, operational observation, process segmentation, and loss analysis to identify and prioritize the largest sources of performance loss across process paths, sites, shifts, and operating conditions. You will develop and test causal hypotheses using data, direct observation, process evidence, and structured problem solving methods, distinguishing contributing conditions from validated root causes. You will design and execute controlled process experiments and pilots with defined hypotheses, baseline conditions, success criteria, failure criteria, data requirements, and sustainment measures. This includes establishing current-state baselines, decomposing aggregate performance gaps into measurable loss categories, identifying and initiating countermeasures, and measuring results to ensure improvements deliver intended and sustainable business outcomes.

You will also collaborate as a thought partner with HQ business partners and field leaders to address business constraints such as safety trends, productivity performance, capacity, store presentation, cost pressures, and future technology and process requirements. You will help translate operational insights into scalable solutions and use learnings from the field to influence broader process design and Continuous Improvement strategies.

About You

• Bachelor 27s degree or equivalent experience

• 3+ years of experience in Parcel, Last Mile, and/or Sortation Center operations; direct field operations experience strongly preferred

• Experience using process observation, elemental time analysis, work sampling, cycle time data, and related techniques to understand current state performance and quantify process loss
• Demonstrated ability to decompose a performance gap into measurable drivers and isolate the point of occurrence.
• Demonstrated ability to develop and validate causal hypotheses using quantitative analysis and direct observation.
• Demonstrated proficiency in structured problem-solving and Continuous Improvement tools, including 8-step problem solving, Kaizen, Value Stream Mapping, Standardized Work, Visual Management, root cause analysis, and waste identification
• Experience designing and executing process experiments or pilots with measurable success criteria.
• Demonstrated ability to analyze process performance and variation using descriptive statistics, segmentation, Pareto analysis, distributions, trend analysis, correlation where appropriate, and before/after performance comparisons.
• Experience with performance metrics and process improvement, including balancing improvements across Safety, Quality, Delivery, Productivity, Capacity, and Cost
• Project management skills including scoping, problem statements, goal definition, benefit identification, implementation planning, and timeline management
• Ability to collaborate and build strong relationships with partners across various teams and as part of cross-functional teams
• Change agent with proven ability to influence others and advocate for change where needed
• Excellent interpersonal communication, time management, presentation, and organizational skills with the ability to handle changing priorities and use good judgment in stressful situations
• Able to access all areas of the DC and Sort Center, including mezzanine platforms
• Enjoys detailed work and communicating updates to various levels of leaders

• Must be located within commuting distance of select Target Sortation Centers (Atlanta, Philadelphia, Detroit, Chicago, Houston, Dallas, Austin, Denver, Minneapolis)
• Ability to travel approximately 40-50% of the time and/or office within a Sortation Center up to 4 days a week

Desired Competencies and Characteristics

• Analytical Rigor: Does not accept the first plausible explanation; follows evidence to the causal mechanism.
• Systems Thinking: Understands upstream/downstream consequences and avoids optimizing one metric at the expense of total-system performance.
• Experimental Mindset: Frames assumptions as hypotheses, defines evidence before testing and is willing to stop or revise solutions that data do not support.

• Lean Six Sigma Green Belt or demonstrated equivalent capability.
• Experience with DMAIC/A3/8-step structured problem solving.
• Experience analyzing high-volume transactional or operational data.
• Exposure to work measurement, labor standards or engineered labor-management systems.
• Experience scaling a proven process change across multiple facilities.

This position may be considered for a Remote or Hybrid (known internally at Target as 4Flex for Your Day4) work arrangement based on Target 27s needs. A Remote work arrangement means the team member worksfull-time from home oran alternatelocation that 27s not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member 27s core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Application deadline is : 11/09/2026