Data Product Owner

Descripción del puesto:

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.

Role Summary

We are looking for a hands-on Technical Data Product Owner to lead and optimize our real-time consumer activation and data tagging ecosystem. This role sits at the intersection of data engineering, analytics, and marketing technology, with direct ownership of data quality, ingestion performance, and end-to-end data reliability.
Unlike a traditional Product Owner, this role requires strong technical depth, active involvement in solution design, and close collaboration with data engineers and analytics specialists to ensure high-performing, scalable data products.

Key Responsibilities

1. Data Product Ownership (End-to-End)

* Own the roadmap and backlog for: Real-time consumer activation pipelines Data ingestion (batch & streaming) Tagging & tracking ecosystem (Tealium, Adobe, GA)
* Translate business use cases into technical data requirements and architectures
* Act as the single point of accountability for data product performance and reliability

2. Data Quality & Reliability (Primary Focus)

* Define and enforce data quality standards, SLAs, and monitoring frameworks
* Identify and resolve: Data gaps Tracking inconsistencies Schema mismatches
* Implement proactive data validation and observability
* Partner with engineers to introduce automated quality checks and alerts

3. Data Ingestion & Performance Optimization

* Own performance of data pipelines supporting: Real-time activation use cases Marketing and analytics platforms
* Analyze and optimize: Latency Throughput Data freshness
* Drive improvements in: Event streaming pipelines API-based ingestion Batch processing workflows

4. Technical Leadership & Hands-on Contribution

* Act as a technical counterpart to Data Engineers
* Contribute to: Solution design discussions Data model definitions Event schema design
* Review: Tracking specifications Data contracts Pipeline logic (at a conceptual and practical level)
* Be comfortable querying data, debugging issues, and validating outputs

5. Cross-Team Coordination (Your Org Context)

* Work closely with: Data Engineers (pipeline & ingestion) Analytics specialists (Adobe / GA) Tagging teams (Tealium) External partners (e.g., EPAM)
* Align activation use cases with tracking and data availability
* Bridge gaps between: Business requirements Tagging implementation Data platform capabilities

6. Use Case Enablement (Real-Time Activation)

* Ensure data readiness for: Personalization Audience activation Marketing automation
* Prioritize use cases based on: Data feasibility Performance impact Business value
* Remove bottlenecks in data-to-activation flow

Required Skills & Experience

Technical

* Strong understanding of: Data pipelines (ETL/ELT, streaming) Event-driven architectures APIs and data integration patterns
* Hands-on experience with: SQL (required) Debugging data issues across systems
* Familiarity with: Tagging tools (Tealium or similar) Analytics platforms (Adobe Analytics, Google Analytics) Cloud data platforms (e.g., Snowflake, BigQuery, etc.)

Product & Delivery

* Proven experience as a Product Owner or Data Product Owner
* Ability to manage a technical backlog with engineering teams
* Strong stakeholder management across business and technical teams

Data Quality & Governance

* Experience defining: Data quality frameworks Monitoring & alerting Data contracts / schemas

Soft Skills

* Strong problem-solving mindset
* Comfortable operating in complex, cross-functional environments
* Able to challenge teams and push for technical excellence (not just delivery)

Nice to Have

* Experience with real-time data / CDP / personalization platforms
* Knowledge of customer data ecosystems in retail/e-commerce

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.

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