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About the Role

The Manager, Data Science – Planning & Allocation is responsible for developing and operationalizing analytical models, insights, and decision tools that optimize inventory placement, forecasting, allocation, replenishment, and product flow across the enterprise. This role partners closely with Planning & Allocation (P&A), Merchandising, Merchandise Operations, Supply Chain, Finance, and Technology teams to deliver data-driven strategies that improve sales, profit, inventory productivity, and customer experience.

Responsibilities

• Lead development of analytics and models supporting allocation, replenishment, sizing, assortment optimization and grading.
• Translate complex data into clear, explainable insights to drive business strategies.
• Define and manage business rules, constraints, and guardrails embedded in AI decisioning tools.
• Analyze sales trends, localization, and lifecycle dynamics to improve buys and in-season management.
• Build tools and dashboards that enable faster, data-driven decisions.
• Partner cross-functionally to drive adoption, trust, and measurable business outcomes.
• Present insights to senior business leaders with a focus on decision clarity, business impact, and execution.
• Continuously refine models, assumptions, and tools as assortments, customer behavior, and strategies evolve.
• Collaborate with technology and data teams, while remaining accountable for business outcomes.

Requirements

• Bachelor’s or Master’s degree in Data Science, Advanced Analytics, Statistics, Mathematics, Finance or a related field.
• 7+ years of experience in analytics or data science, preferably within planning, allocation, merchandising, or supply chain.
• Proven experience embedding analytics into business decision workflows, not just reporting.
• Strong proficiency in Python or R and SQL.
• Demonstrated ability to support and influence merchandising strategy and initiative development through data driven insights.
• Strong communication skills with the ability to explain AI-driven decisions to non-technical partners.
• Hands-on experience with allocation systems, replenishment logic, sizing or grading strategies.
• Familiarity with inventory and planning KPIs (e.g., sell-through, weeks of supply, service level, margin impact).
• Experience working with cloud data platforms and BI tools (e.g., Power BI, Tableau).

Skills

• Python
• R
• SQL
• Data Science
• Analytics
• AI-driven decisioning
• Power BI
• Tableau

Location

• Enterprise

Work Type

• Full-time

Experience Level

• 7+ years

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• USD $81,000.00 - USD $135,000.00 /Yr.

Benefits

• Eligible for bonus under the Management Incentive Plan.
• Competitive benefits package including medical/dental/vision.
• Term life insurance.
• Paid vacation/holidays.
• 401(k) with Company match.
• Associate discount on JCPenney merchandise.

About the Company

• JCPenney is the shopping destination for diverse, working American families.
• With inclusivity at its core, the Company’s product assortment meets customers’ everyday needs and helps them commemorate every special occasion with style, quality, and value.
• JCPenney offers a broad portfolio of fashion, apparel, home, beauty, and jewelry from national and private brands and provides personal services including salon, portrait and optical.
• The Company and its 50,000 associates worldwide serve customers where, when, and how they want to shop – from jcp.com to more than 650 stores in the U.S. and Puerto Rico.
• In 2024, JCPenney celebrates 122 years as an iconic American brand by continuing its legacy of connecting with customers through shopping and community engagement.

Equal Opportunity

• All associates are eligible for an associate discount on JCPenney merchandise.
• For paid holidays, associates who are eligible for paid vacation (MTO) are also eligible for eight paid holidays during the calendar year.
• *For paid vacation days, as well as eligibility requirements for other benefits, please visit www.yourjcpbenefits.com.