Product Data Lead

Be part of an iconic story.

TOMMY HILFIGER is one of the world’s most recognized global lifestyle brands, confidently welcoming and inspiring consumers since 1985. Originally established in New York City and infused with the vibrant spirit of Americana, to create the modern uniform of accessible luxury. The TOMMY HILFIGER brands consist of TOMMY HILFIGER and TOMMY JEANS, complemented by a range of licensed product categories that extend the brand lifestyle across generations, geographies, activities and occasions. Tommy Hilfiger’s global marketing approach and communications strategy taps into culture through the world of F.A.M.E.S.: the people, organizations and ideas boldly driving the future of Fashion, Art, Music, Entertainment and Sport. Major global campaigns, sponsorship platforms, and disruptive activations with world-class athletes, musicians and entertainers bring a constant source of energy and inspiration to the brand. Immerse yourself in TOMMY HILFIGER here! (YouTube, Instagram, TikTok)

The Team

Our team ensures that product data is accurate, complete, consistent, and delivered at the right moment in time to enable seamless downstream operations. We are key stakeholders in defining, governing, and monitoring product data integrity across the organization. By safeguarding data visibility, timeliness, and quality, we enable operational excellence, support digital transformation initiatives, and drive scalable data practices.

We collaborate cross-functionally with product teams, engineering, and central functions to ensure that product data is optimized, reliable, and actionable.

The Role

As Product Data Lead, you will act as a senior individual contributor, guiding the day-to-day activities of a small operational Product Data team. Your focus is to ensure the team consistently follows agreed data standards, validation checks, timelines, and escalation processes so that product data integrity is maintained across all operational milestones.
 

A core accountability of this role is to establish and drive strong ownership for ensuring that product data is set up in source systems accurately, completely, consistently, and at the right moment in time. You will ensure data readiness aligns with key business and operational milestones, enabling downstream systems and processes to operate effectively and without disruption.
 

You will establish strong operational control across the data lifecycle, including structured issue follow-up, root cause analysis, and escalation management, ensuring data is delivered right-first-time. You will monitor operational performance, analyze data quality and readiness, identify risks or recurring issues, and drive accountability to resolve them at source.
 

Additionally, you will highlight improvement opportunities and embed stronger controls, processes, and ways of working to achieve consistent, scalable, and timely product data setup.
 

You will work closely with a Data Analyst who supports the team with data modelling, reporting, data quality analysis, and Python-based automation. You will provide direction on priorities, frame operational questions, define requirements, validate outputs, and ensure analytical insights translate into actionable improvements for daily operations.

Key Responsibilities

Include but not limited to:

Data Ownership, Timing & Governance

• Own end-to-end accountability for ensuring product data is accurate, complete, consistent, compliant, and created at the right moment in time within source systems
• Establish and enforce strong ownership and controls to ensure data readiness aligns with operational and business milestones
• Safeguard data integrity across systems, ensuring downstream processes run without disruption
• Define, implement, and continuously improve data governance standards, frameworks, and best practices
• Proactively identify data quality, consistency, and timing gaps, and drive scalable, long-term solutions at source

Operational Excellence & Control

• Monitor and manage data readiness, completeness, accuracy, and timeliness against agreed SLAs and milestones
• Establish strong operational control through structured issue follow-up, escalation management, and clear accountability frameworks
• Lead root cause analysis of recurring issues and implement sustainable fixes to improve first-time-right data creation
• Provide clear, data-backed evidence and recommendations to support prioritization, decision-making, and continuous improvement
• Embed clear processes, validation checks, and escalation paths to ensure consistent and reliable execution

Automation & Data Engineering

• Design, build, and maintain automated data pipelines and workflows using Python
• Replace manual and Excel/macro-based processes with scalable, efficient solutions
• Structure, index, and optimize datasets for performance and usability

Data Analysis & Visualization

• Analyze product data to uncover trends, risks, and improvement opportunities
• Develop dashboards and reports to track data quality, timeliness, and operational performance
• Translate findings into clear, actionable insights and visual narratives
• Partner with the Senior Manager to deliver high-quality data packs focused on product data accuracy, readiness, and performance

Stakeholder Collaboration

• Partner with business, product, and technical stakeholders to align on data requirements, timelines, and ownership
• Act as a bridge between functional and technical teams on data-related topics
• Drive accountability across stakeholders to ensure timely and accurate data setup in source systems
• Coordinate with stakeholders on issue resolution and act as a subject matter expert on product data quality, readiness, and governance
• Support cross-functional initiatives related to data transformation and system enhancements

Technical Guidance & Team Enablement

• Provide day-to-day guidance and direction to team members on priorities, standards, and ways of working (non-people management)
• Work closely with the Data Analyst to define requirements, validate outputs, and embed improvements into operations
• Set standards for data handling, validation logic, and automation approaches
• Act as a subject matter expert in product data, driving consistency and quality across the team
• Contribute to building the team’s data capabilities and maturity
• Act as a role model for quality, accountability, and collaboration

The Ideal Candidate

• 7+ years of experience in Product Data, Master Data, data operations, analytics, or information management roles, preferably within fashion, retail, e-commerce, or product-driven businesses
• Proven experience driving data quality, ownership, and timely data setup in operational environments, particularly in source systems
• Experience coordinating or guiding day-to-day operational activities, including prioritization, follow-up, and escalation handling (without direct people management responsibility)
• Strong track record of improving data accuracy, completeness, consistency, and readiness through governance, process, and automation
• Strong analytical and visualization skills, with experience translating data into actionable insights and performance tracking
• Experience working with product data systems such as SAP, PIM, PLM, or comparable platforms
• Strong Excel and/or BI tooling experience (e.g., Power BI, Tableau) to monitor operational performance and data readiness
• Practical understanding of data modelling, structured datasets, and automated validation concepts
• Experience or familiarity with Python-based automation (hands-on expertise strongly preferred)
• Strong stakeholder management and communication skills, with the ability to drive accountability across cross-functional teams
• Structured, detail-oriented, and solution-driven, with a hands-on and pragmatic approach
• Proven ability to operate effectively in fast-paced, evolving environments
• Excellent communication skills in English

Required Technical Skills

• Advanced Python proficiency, including:
  • Data Automation: selenium, BeautifulSoup, openpyxl
  • Data Transformation & Analysis: pandas, numpy, json
  • Data Visualization: matplotlib, seaborn, plotly
• Strong experience with data integration and pipelines, including:
  • SQL-based databases (psycopg2)

• • APIs and data ingestion (requests)
  • Event/data streaming tools (e.g., Kafka)

• SQL-based databases (psycopg2)

Your Wellbeing is Our Priority

In the heart of Amsterdam, PVH is home to the global headquarters of Tommy Hilfiger and the European offices of Calvin Klein.  

• Wellbeing: exclusive onsite gym and fitness classes, personal training, meditation studio, sports clubs, in-house physio, and receive access to our nutritional and wellbeing programs 

• Campus: extensive food and beverage offerings, top-notch restaurant, barista coffee bars, sky bar, monthly social events, weekly Thursday drinks, game nights, and campus-themed activities that will keep your social life busy 

• Develop your career: whether you lead a team or contribute your own expertise, everyone is a leader at PVH. PVH University curates and delivers training programs for you to continuously develop your professional and personal goals 

• Be at the forefront: stay closely connected to our brands, CALVIN KLEIN and TOMMY HILFIGER, and be a part of seasonal market launches, sample sales and receive employee discounts! 

Check out our Amsterdam Campus here.

About PVH:

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.

PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.