PVH
Retail
TechnicalDataProductOwner
Neural analysis suggests this role is
optimal for Mid candidates.
“Technical Data Product Owner at PVH. Skills: Data Product Ownership, Data Quality & Reliability, Data Ingestion & Performance Optimization, Technical Leadership, Cross-Team Coordination, Use Case Enablement. Own the roadmap and backlog for: Real-time consumer activation pipelines, Data ingestion (batch & streaming), Tagging & tracking ecosystem (Tealium, Adobe, GA). Define and enforce data quality standards, SLAs, and monitoring frameworks”
What You'll Achieve.
Ensure high-performing, scalable data products; Ensure end-to-end data reliability; Drive improvements in: Event streaming pipelines, API-based ingestion, Batch processing workflows
Industry & Context.
problem-solving mindset; Identify and resolve: Data gaps, Tracking inconsistencies, Schema mismatches; Analyze and optimize: Latency, Throughput, Data freshness; Remove bottlenecks in data-to-activation flow
What They're Looking For.
Must Have
SQL (required), Proven experience as a Product Owner or Data Product Owner, Ability to manage a technical backlog with engineering teams, Experience defining Data quality frameworks, Experience defining Monitoring & alerting, Experience defining Data contracts / schemas
Nice to Have
Experience with real-time data / CDP / personalization platforms, Knowledge of customer data ecosystems in retail/e-commerce
What You'll Do.
Own the roadmap and backlog for: Real-time consumer activation pipelines
Data ingestion (batch & streaming)
Tagging & tracking ecosystem (Tealium
Define and enforce data quality standards
and monitoring frameworks
Identify and resolve: Data gaps
Tracking inconsistencies
Own performance of data pipelines supporting: Real-time activation use cases
Marketing and analytics platforms
Analyze and optimize: Latency
Ensure data readiness for: Personalization
How You'll Work.
Team & Collaboration
Close collaboration with data engineers and analytics specialists; Partner with engineers to introduce automated quality checks and alerts; Work closely with: Data Engineers (pipeline & ingestion), Analytics specialists (Adobe / GA), Tagging teams (Tealium), External partners (e. g. , EPAM); Bridge gaps between: Business requirements, Tagging implementation, Data platform capabilities
Process & Methodology
Manage a technical backlog with engineering teams, Translate business use cases into technical data requirements and architectures, Prioritize use cases based on: Data feasibility, Performance impact, Business value
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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