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Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The Manager, Data Science – Planning & Allocation is responsible for developing and operationalizing analytical models, insi…
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Develop and operationalize analytical models and decision tools to optimize inventory placement, forecasting, and product flow. Partner cross-functionally with business teams to translate complex data into actionable strategies that improve sales and profit.
Requires a Bachelor's or Master's degree in a quantitative field and over 7 years of experience in analytics or data science, preferably in supply chain or merchandising. Proficiency in Python, R, and SQL is essential, along with the ability to communicate AI-driven insights to non-technical stakeholders.
Data Science
Planning, Allocation & Inventory Optimization
JCPenney
Role Purpose
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 is embedded within the business, partnering 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. Success in this role requires strong analytical leadership, business fluency, and the ability to build trust and adoption of AI‑driven decisioning.
Key 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 (Planning & Allocation, Merchandising, Supply Chain, Finance, Technology) 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—not IT delivery.
Qualifications
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.
Preferred
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).
What Success Looks Like
Allocation, replenishment, and sizing decisions are trusted, explainable, and consistently data‑driven.
Measurable improvements in inventory productivity, in‑stock performance, and customer experience.
High adoption of decision tools by Planning & Merchandising teams.
Analytics scaled from pilots into core business workflows.
What you get:
Eligible for bonus under the Management Incentive Plan.
If eligible, we offer a competitive benefits package including medical/dental/vision, term life insurance, paid vacation/holidays, and 401(k) with Company match. 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.
About JCPenney:
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.
As we reinvent ourselves to fit the diversity of America, we are looking for motivated, talented people who can emerge as Warriors in our organization. JCPenney offers an inclusive environment and culture where you can find and define yourself - your style, your purpose and your career. We know success is built from the inside out, and our associates are the heartbeat of our Company! JCPenney is now part of Catalyst Brands.
Offices: 6502 Legacy Drive, Plano, Texas 75024, US
Based on 443 listings with disclosed salaries, most data & analytics jobs in Dallas, TX pay between $65k–$184k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,095 open data & analytics positions in Dallas, TX listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Goldman Sachs, University of Texas Southwestern Medical Center, Capgemini, AT&T, CoStar Group, among others. Browse the listings above to see every active employer.
Yes — 441 of the 1095 open data & analytics positions offer remote or hybrid work (156 remote, 285 hybrid).
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