Technical Data Product Manager in Portland, Oregon - #73711 | VanderHouwen

Description

Job Id: 73711

Technical Data Product Manager
Our client is seeking a Technical Data Product Manager to own the strategy, requirements, roadmap, and delivery of enterprise data products supporting Sales, Account Management, Employer/Broker, and Producer capabilities. This role will translate complex business and technical needs into scalable, reusable data solutions while partnering closely with Product, Engineering, Architecture, source-system teams, and business stakeholders. The ideal candidate combines strong technical data analysis skills with product ownership, excellent documentation practices, and a forward-looking understanding of semantic data, AI-enabled analytics, and modern enterprise data products.

This role will begin as fully remote before transitioning to a hybrid work model. Applicants must reside in Oregon, Washington, Utah, Idaho, North Dakota, Arkansas, or Minnesota.

Technical Data Product Manager Responsibilities

• Own the roadmap, requirements, and delivery of reusable enterprise data products supporting Sales, Account Management, Employer/Broker, and Producer capabilities.
• Lead technical discovery across source systems, ingestion, foundational/enriched data products, and downstream consumers.
• Translate business needs into technical requirements, source-to-target mappings, transformation rules, business definitions, acceptance criteria, and validation plans.
• Use advanced SQL to profile, reconcile, validate, and troubleshoot complex datasets and identify root causes and downstream impacts.
• Design scalable data products with consistent definitions, relationships, metadata, lineage, and business rules that can support multiple consumers and use cases.
• Support data migrations, modernization efforts, new source integrations, and affiliation-related initiatives while considering long-term reuse and scalability.
• Develop and maintain clear technical documentation, including data requirements, mappings, business rules, lineage, data dictionaries, and validation plans.
• Lead data validation, reconciliation, UAT, and production verification, identifying discrepancies involving populations, mappings, transformations, duplicates, and missing data.
• Partner with Product, Engineering, Architecture, source-system teams, and business stakeholders to resolve dependencies, risks, data-quality issues, and technical requirements.
• Help establish reusable Sales data products and semantic capabilities that support BI, analytics, AI assistants, natural-language querying, and emerging agentic experiences.

Technical Data Product Manager Qualifications

• Strong experience in technical data product management, data analysis, data engineering, or a related discipline.
• Advanced SQL skills, including complex querying, data profiling, reconciliation, troubleshooting, and root-cause analysis.
• Demonstrated experience designing reusable enterprise data products, shared data assets, business rules, or common data models.
• Strong understanding of source-to-target mapping, data lineage, transformations, keys, relationships, and end-to-end data flows.
• Proven ability to investigate unfamiliar datasets and translate technical findings into clear business requirements and recommendations.
• Advanced experience creating technical documentation, including data requirements, mappings, business rules, lineage, acceptance criteria, and validation plans.
• Working knowledge of Snowflake and experience working across enterprise databases, schemas, tables, views, and data products.
• Experience with data migrations, modernization, source integrations, data validation, reconciliation, UAT, and production troubleshooting.
• Understanding of semantic layers/models and how well-defined metadata, relationships, business context, and governance enable analytics and AI-ready data.
• Familiarity with Snowflake Cortex, Cortex Code, or comparable AI-assisted data tools is preferred.
• Strong cross-functional communication skills with the ability to challenge assumptions, manage ambiguity, and drive technical decisions to resolution.
• Experience in healthcare payer data, Sales/Broker/Account Management data, Salesforce or comparable CRM platforms, or BI tools such as Sigma, Tableau, or Power BI is preferred.
• Experience with broker/producer compensation data or systems is a plus.
• Python experience for data analysis, profiling, reconciliation, or automation is a plus.
• Bachelor’s degree in a relevant field and significant experience in product management, data, technology, healthcare, or a related discipline is preferred.

Compensation: (DOE)

VanderHouwen Contractors Enjoy Exceptional Benefit Perks!
As an eligible contract employee with VanderHouwen, you’ll have access to a full suite of benefits designed with your well-being in mind. Our comprehensive package includes medical, dental, vision, life insurance, short- and long-term disability, and a matching 401(k) to help secure your future.

Meet VanderHouwen
What kind of recruiter do you see yourself working with? One who prioritizes your best interest, no matter what? VanderHouwen does, and we’re in it for the long game! Our recruiters focus on YOU, building meaningful, long-term relationships while developing a deep understanding of companies’ staffing needs and workplace cultures. This approach helps us find an ideal job match that aligns with your unique career aspirations and goals.

VanderHouwen is an award-winning, Women & Diversity-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen places experienced professionals across the nation! Our recruitment teams specialize in either Technology and IT, Engineering, Human Resources, or Accounting and Finance career markets. Partner with us to land your next exciting career!

VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state, or federal civil rights laws.

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