PVH

Fashion

TechnicalDataProductOwner

Amsterdam, Netherlands FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Technical Data Product Owner at PVH. Skills: Data Product Ownership, Data Quality, Data Ingestion, Technical Leadership. Own roadmap and backlog. Translate business use cases”

What You'll Achieve.

High-performing, scalable data products; Data quality standards; SLAs; Monitoring frameworks; Automated quality checks; Alerts; Performance optimization; Data readiness for personalization; Data readiness for audience activation; Data readiness for marketing automation

Industry & Context.

Fashion
Problems you'll solve

problem-solving mindset; Debugging data issues; Identify and resolve data gaps; Analyze and optimize latency; Remove bottlenecks

What They're Looking For.

Must Have

SQL, Data pipelines, ETL/ELT, Streaming, Event-driven architectures, APIs, Data integration patterns, Debugging data issues, Tagging tools, Analytics platforms, Cloud data platforms, Product Owner, Data Product Owner, Technical backlog management, Data quality frameworks, Monitoring & alerting, Data contracts, Schemas

Nice to Have

Real-time data, CDP, Personalization platforms, Customer data ecosystems, Retail, E-commerce

What You'll Do.

Own roadmap and backlog

Translate business use cases

Define and enforce data quality standards

Identify and resolve data gaps

Implement proactive data validation

Partner with engineers

Own performance of data pipelines

Analyze and optimize latency

Drive improvements in pipelines

Act as technical counterpart

Contribute to solution design

Review tracking specifications

Work closely with Data Engineers

Align activation use cases

Bridge gaps between requirements

Ensure data readiness

How You'll Work.

Team & Collaboration

Close collaboration with data engineers; Collaboration with analytics specialists; Partner with engineers; Cross-Team Coordination; Work closely with Data Engineers; Work closely with Analytics specialists; Work closely with Tagging teams; Work closely with External partners; Stakeholder management

Process & Methodology

Manage a technical backlog

Full Job Description

**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](https://www.pvh.com/responsibility/inclusion-diversity)**. ## **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 f

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