Enterprise Data & Analytics - Product Manager

POSITION SUMMARY:

The Product Manager - Commercial Analytics will be the direct liaison to Data, Analytics & Insights business, process and technology partners globally across PVH brands, helping to analyze, craft, and prioritize solutions to most impactful problems. You will collaborate with technical and non-technical stakeholders to translate business needs into technical product requirements, and work with engineering team(s) to build and deliver world-class technology solutions. You will also collaborate with other Product Managers, engineering teams as well as external partners to drive end-to-end execution enabling and measuring business value.

You will collaborate with experts in the data analytics space to develop innovative data and analytics products. The team is leveraging the best-in-class analytics, tools and techniques, and you will have the opportunity to hone your experience with them and help evolve our application of them.

PVH has embarked upon building an "Enterprise Data Platform" (EDP), a world class ecosystem secure enterprise data repository to manage all types of data for consumption across PVH to ultimately unlock business value through hindsight's, insights & foresights. In your new role within the EDA (Enterprise Data & Analytics) team, you will have the opportunity to address Greenfield opportunities to apply reporting, analytics, data science and machine learning towards e2e analytic capabilities.

PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:

How you'll work with Business teams:

• Drive delivery of product scenarios and contribute to the overall vision and success of PVH
• Launch new features/capabilities, drive adoption, and evaluate their success
• Continuously engage with Product users, partners, and communities to understand their priorities, challenges, and design solutions
• Develops partnership with Business Product Owner(s) to facilitate cross-functional roadmap, prioritization & recommendations for Enterprise Data & Analytics "product" increments
• Proposes product priorities, roadmap & value proposition to governance / steering / operating committee(s), demonstrating product offering, return on investment and remaining product life value

How you'll work with Technology teams:

• Understand and share how the product integrates with PVH's technology over time
• Drive a results driven culture - Using your Product skills, create measurement driven initiatives in which to validate experiments
• Work effectively across teams and geos, creating alignment and influencing stakeholders of all levels and of all disciplines across PVH/TPG
• Create clarity and alignment on vision, develop a prioritized roadmap, manage dependencies, and mitigate risks

What you'll work on:

• Product management through entire lifecycle - Ideation, Business case creation, KPI definition story facilitation, prioritization, building for outcomes, reporting on effectiveness through analysis & clear financial management
• Work with product teams to analyze current systems and processes and design a strategy for adopting agile best practices

QUALIFICATIONS & EXPERIENCE:

Experience:

• Passion for solving customer problems through innovation. Proven track record of building product that customers love
• Experience building products with diverse engineering teams and stakeholders, collaborating and negotiating across teams
• 3+ years' experience with Analytical architecture / Business Intelligence, frameworks, tools and development lifecycles
• 3+ years' experience in a Product Owner/Manager role, preferably working with Data / Analytical products but not required
• Strong analytical, mathematical and logical thinking
• Experience identifying use cases opportunities for Data Science & Advanced Analytics, building POC's to prove out value and justify investment
• Excellent interpersonal, written and verbal communication skills; demonstrated ability to develop strong relationships with and effectively communicate complex ideas to technical and non-technical audiences
• Demonstrated ability to communicate, engage and manage through influence across a large global organization
• Excellent project management (Agile) and time management skills

Education:

• B.S. degree in a technical field or equivalent work experience

Skills:

• Ability to use core analytical methods in developing solutions and design of experiments (1. Segmentation/clustering techniques 2. Predictive modelling 3. Machine Learning)
• Project Management, resource utilization and experience building accurate project timelines / budget requirements
• BI & Visualization: MicroStrategy, Tableau, Power BI
• Programming/Scripting: Python, "R", Jupyter Notebook