Manager, Distibution Ctr Analytics & Optimization

About us

KnitWell Group, a specialty retail operating company, comprises some of the most iconic brands in America – Ann Taylor, Chico's, Haven Well Within, Lane Bryant, LOFT, Soma, Talbots, White House Black Market. Individually, our brands are unique and strong. Together, we are powerful.

Our common thread is our commitment to create exceptional products, provide memorable experiences, and achieve superior results. Our associates are innovators who thrive through collaboration and are dedicated to excellence. At the heart of it all are the customers we serve. We are dedicated to creating fashion that not only looks good but also makes our customers feel good.

Manager, Distribution Center Analytics & Optimization

About the role
The Manager, DC Analytics & Optimization is responsible for driving operational excellence through advanced analytics, process optimization, and technology enablement across a high-volume distribution network. This role combines data science expertise with operational knowledge to identify opportunities that improve productivity, inventory accuracy, throughput, cost efficiency, and service performance to customers.

This position partners closely with Operations, Inventory, Transportation, Engineering, and IT and leverages predictive analytics, machine learning, and process improvement methodologies to translate complex data into actionable business solutions.

You will have the opportunity to apply data analytics coupled with operational knowledge for a highly automated distribution operation while partnering directly with senior leaders to recommend optimization opportunities, productivity improvements and efficiencies, and enhance customer experience. This role is ideal for someone who enjoys analyzing and using data to solve complex business challenges, optimizing processes, and delivering measurable business results as well as contributing to leading change, and creating a culture where continuous improvement is part of everyday work.

The Impact You Can Have

• Identify opportunities to improve labor productivity, throughput, inventory accuracy, and facility utilization.
• Conduct process mapping, workflow analysis, and root cause investigations to eliminate waste and improve execution.
• Develop and implement operational best practices and standard work.
• Support labor optimization, slotting strategies, capacity planning, and workflow redesign.
• Lead end-to-end operational improvement initiatives across receiving, replenishment, picking, packing, shipping, and inventory functions.
• Develop predictive and prescriptive models that improve operational decision-making.
• Utilize machine learning, statistical analysis, and optimization techniques to identify inefficiencies and recommend solutions.
• Build analytical tools that improve forecasting, labor planning, volume management, and operational performance.
• Analyze large datasets from WMS, LMS, transportation systems, automation platforms, and operational databases.
• Translate complex analytical findings into practical operational recommendations.
• Design and maintain executive dashboards that measure productivity, cost, service, quality, and capacity performance.
• Establish performance benchmarks and identify performance gaps across facilities.
• Develop automated reporting and data visualization tools that provide actionable operational insights.
• Quantify financial impact and ROI of improvement initiatives.
• Partner with Engineering and Technology teams to evaluate automation opportunities.
• Support implementation of AI-driven operational tools, warehouse automation systems, and advanced analytics platforms.
• Present findings and recommendations to senior leadership.
• Participate in cross-functional project teams focused on network optimization and cost reduction.
• Provide data-driven recommendations and measurable business cases and present those to senior leadership.

What You’ll Bring to the Role

• Bachelor's degree in Data Science, Industrial Engineering, Supply Chain, Operations Research, Statistics, Computer Science, Mathematics, or related field.
• 5+ years of experience in supply chain, distribution operations, logistics analytics, or operational consulting.
• Strong understanding of warehouse operations, labor management, and fulfillment processes
• Multi-site distribution center or fulfillment network experience.
• Experience developing machine learning, optimization, simulation, or forecasting models.
• Ability to apply data science techniques in operational environments.
• Experience with Labor Management Systems (LMS), Warehouse Management Systems (WMS), and automation technologies.
• Advanced proficiency in SQL, Python, R, or similar analytical programming languages.
• Ability to translate and communicate complex data findings clearly and effectively to a variety of cross-functional stakeholders.

Benefits

• Merchandise discount at our brands: 50% off regular-priced merchandise at Ann Taylor, LOFT, & Lane Bryant (in store and online)
• Support for your individual development plus career mobility within our family of brands
• A culture of giving back – local volunteer opportunities, annual donation and volunteer match to eligible nonprofit organizations, and philanthropic activities to support our communities*
• Medical, dental, vision insurance & 401(K) retirement*
• Employee Assistance Program (EAP)
• Time off – paid time off & holidays*

*Any job offer will consider factors such your qualifications, relevant experience, and skills. Eligibility of certain benefits and associate programs are subject to employment type and role.

This position works on-site (4-5 days/week) at our Ecommerce Fulfillment Center in Greencastle (IN).

Applicants to this position must be authorized to work for any employer in the US without sponsorship. We are not providing sponsorship for this position.

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Location:

DC-Greencastle IN-ascena, IN 46135

Position Type:

Regular/Full time

Equal Employment Opportunity
The Company is an equal opportunity employer and welcomes applications from diverse candidates. Hiring decisions are based upon a candidate's qualifications as they relate to the requirements of the position under consideration and are made without regard to sex (including pregnancy), race, color, national origin, religion, age, disability, genetic information, military status, sexual orientation, gender identity, or any other category protected by applicable law. The Company is committed to providing reasonable accommodations for job applicants with disabilities. If you require an accommodation to perform the essential duties of the position you are seeking or to participate in the application process, please contact [email protected]. The Company will make reasonable accommodations for otherwise qualified applicants or employees, unless such accommodations would impose an undue hardship on the operations of the Company’s business. The Company will not revoke or alter a job offer based on an applicant’s request for reasonable accommodation.