Assortment Optimization Manager

TruX Retail Partner•Carlisle, PA
•$65,000 - $80,000

About The Position

The Assortment Optimization Manager leads the daily operations and development of the assortment optimization analytics team. The role ensures that projects, reporting, and technology-enabled solutions support retail execution and business objectives, while overseeing team priorities, resource allocation, analyst development, and solution delivery. The manager translates business needs into actionable analytics and technology initiatives and partners with cross-functional business partners to identify opportunities, improve processes, and drive measurable operational results. The role oversees analytics, automation, reporting, and technology solutions that improve assortment planning, retail execution, operational efficiency, visibility, and decision-making. It provides direction to the Lead Analyst, develops team capabilities through coaching and feedback, evaluates processes, and establishes measures to assess solution effectiveness. Deliverables must be accurate, consistent, scalable, and aligned with operational requirements, data integrity standards, and business priorities. The position requires travel to client meetings, corporate offices, retail locations, and program operations across assigned markets. The description states that employment is at-will where permitted by law and is not an employment contract.

Requirements

  • At least 4 years of progressive experience in analytics, assortment optimization, retail operations, business intelligence, technology, or a related field.
  • Demonstrated experience leading analytics, reporting, automation, or technology-enabled business initiatives.
  • Experience managing projects, competing priorities, and cross-functional stakeholder relationships.
  • Experience providing team leadership, coaching, and employee development.
  • Experience translating business requirements into analytical solutions, process improvements, and actionable recommendations.
  • Strong knowledge of data analytics, reporting, business intelligence, automation, and process improvement methodologies.
  • Strong analytical and problem-solving skills, including the ability to translate complex data into business insights and recommendations.
  • Ability to lead teams, manage priorities, develop talent, and drive accountability.
  • Strong project management and organizational skills, including overseeing multiple initiatives and deliverables.
  • Excellent communication and collaboration skills and the ability to build relationships across operations, technology, and business teams.
  • Ability to identify innovation opportunities, evaluate potential solutions, and connect analytical capabilities to measurable business outcomes.

Nice To Haves

  • Bachelor's degree in business, data analytics, information technology, operations, or a related field; equivalent combinations of education and relevant experience may be considered.
  • Experience with retail, merchandising, assortment planning, consumer products, or field operations.

Responsibilities

  • Lead daily team operations by establishing priorities, managing workloads, and ensuring timely delivery of projects, reporting, and analytical solutions.
  • Oversee the development and implementation of analytics, automation, reporting, and technology solutions that improve assortment planning, retail execution, and operational efficiency.
  • Partner with the Director of Innovation and cross-functional business partners to identify opportunities, define requirements, and align initiatives with business and client objectives.
  • Provide direction and oversight to the Lead Analyst, including project execution, technical development, quality standards, and team accountability.
  • Develop team capabilities through coaching, feedback, performance management, professional growth opportunities, and knowledge sharing.
  • Evaluate existing processes and lead improvements to streamline workflows, improve data accuracy, and increase productivity.
  • Establish and monitor performance measures for analytics and technology solutions, and communicate results, opportunities, and recommendations to leadership and business partners.
  • Ensure analytical deliverables and solutions are accurate, consistent, scalable, and aligned with operational requirements, data integrity standards, and business priorities.
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