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Manager, Data Science- PVH Corp
Job in
New York City, Richmond County, New York, USA
Listed on 2026-08-05
Listing for:
Phillips - Van Heusen Corporation
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
Data Engineering, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
About Us:
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan.
That's the Power of Us, that's the Power of PVH+.
One of PVH's greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.
What You'll Do:
The Manager, Consumer Data & Analytics drives measurable business impact by leading the design, development, and deployment of advanced analytical, statistical, and machine learning solutions. This role owns the modeling strategy, data science roadmap, and decision‑support frameworks that guide enterprise decision‑making across Commercial, Operations, and Consumer functions.
The Manager applies deep technical expertise - including predictive modeling, prescriptive analytics, optimization, statistical inference, data engineering, and large‑scale data processing - to translate complex business challenges into structured analytical approaches. This role ensures methodological rigor, builds scalable analytical pipelines, and delivers insights and recommendations that directly influence senior leadership decisions.
In addition, the Manager establishes modeling standards, governs analytical best practices, and provides technical leadership across project teams. The role mentors analysts, leads cross‑functional initiatives, and strengthens PVH's enterprise data science capabilities through innovation, experimentation, and continuous improvement.
What You'll Do:
Strategic Ownership & Decision Influence
* Own the end‑to‑end strategy for analytical modeling, data science frameworks, and decision‑support tools that drive measurable business outcomes.
* Define analytical approaches, select methodologies, and operate independently in ambiguous problem spaces.
* Deliver insights and recommendations that directly influence senior leadership decisions, including scenario modeling, ROI analysis, and performance optimization.
* Serve as a strategic thought partner to Commercial, Operations, and Executive leadership.
Advanced Modeling, Analytics & Technical Execution
* Lead the design, development, and deployment of predictive, prescriptive, and optimization models across demand forecasting, inventory optimization, pricing, trade promotion, and consumer analytics.
* Apply advanced statistical and machine learning techniques.
* Build scalable data pipelines and modeling workflows using SQL, Python/R, Spark, and cloud‑based or distributed computing environments.
* Develop reusable code libraries, automated model training pipelines, and production‑ready analytical assets.
* Validate, test, and tune models to ensure accuracy, stability, and long‑term performance.
Governance, Standards & Scalability
* Establish modeling standards, documentation practices, and methodological governance across the data science function.
* Ensure analytical solutions are scalable, repeatable, and aligned with enterprise data architecture.
* Drive continuous improvement of PVH's analytical tools, platforms, and modeling infrastructure.
Cross‑Functional Leadership & Collaboration
* Lead cross‑functional initiatives, aligning stakeholders across geographies and business units to ensure adoption of analytical solutions.
* Partner with business teams to define analytical requirements, KPIs, and success metrics.
* Translate complex analytical concepts into clear, compelling narratives tailored to diverse audiences.
* Interface with IT, Data Engineering, Marketing, Demand Leadership, and other partners to ensure alignment and execution.
Technical Leadership & Mentorship
* Provide technical leadership to analysts and project teams, guiding modeling techniques, coding standards,…
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