Manager- Data Science- PVH Corp.
About The Position
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.
Requirements
- 4+ years in an analytical or data science role within Consumer/Retail, with demonstrated ownership of modeling or decision‑support solutions.
- Strong experience with SQL and relational data modeling; ability to integrate data across disparate systems.
- Proficiency in Python and/or R for statistical modeling, machine learning, and data engineering.
- Experience with big data technologies (Hadoop, Spark) and distributed computing.
- Familiarity with BI tools (Power BI, Tableau) and scripting languages (VBA, DAX, PowerShell).
- Experience developing, maintaining, and integrating structured and unstructured datasets.
- Ability to communicate complex data in a simple, actionable way.
- BS/BA in a quantitative field (Statistics, Applied Mathematics, Information Management, Engineering etc.) or equivalent experience.
- Advanced analytical toolkit: Excel, Looker, SQL, Python/R required.
- Strong technical depth across modeling, statistics, and data engineering.
- High attention to detail, strong ownership mindset, and entrepreneurial spirit.
- Excellent communication and storytelling skills.
- Ability to lead cross‑functional initiatives and influence at all levels.
- Strong organizational skills and ability to prioritize effectively.
Nice To Haves
- Master’s degree preferred.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Provide technical leadership to analysts and project teams, guiding modeling techniques, coding standards, and analytical best practices.
- Mentor junior team members and elevate the technical maturity of the broader organization.
- (If applicable) Manage an analyst, including coaching, prioritization, and performance development.
Benefits
- Competitive pay
- bonus programs
- best in class medical insurance
- vision insurance
- dental insurance
- life insurance
- disability insurance
- An above-market 401(k) contribution
- Generous company-paid holidays
- paid time off
- hybrid working arrangements
- volunteer opportunities
- seasonal hours
- flexible work schedules
- A variety of wellbeing tools and programs such as, Headspace membership
- reimbursement for fitness memberships and/or digital meditation subscriptions
- the opportunity to earn up to $200 a year in rewards for exercising and participating in healthy activities.
- Access to services for childcare, elder care, adoption preparation, pet care, plus reimbursement for backup care when your regular plans fall through.
- Receive support for continued education including tuition reimbursement.
- Shop at our company outlets and e-commerce sites at a discount.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
