Data Product Manager

RESPONSIBILITIES:
Kforce has a client in Wexford, PA that is seeking a driven, intellectually curious Data Product Manager to own how data assets are structured, packaged, and brought to market. This role helps define a critical function within a fast-growing data organization and is ideal for someone who thrives on turning raw data into market-ready products.

Responsibilities:
* Own the strategy, prioritization, and lifecycle of data products from concept through commercialization
* Identify new product opportunities by analyzing market trends, customer needs, and competitive positioning
* Translate business needs into clear, well-defined data product requirements
* Launch data products that directly contribute to revenue growth
* Develop and maintain data product and marketplace taxonomies and classification frameworks
* Ensure data products are clearly labeled, documented, and easy to understand for customers and internal teams
* Establish and enforce naming conventions, metadata standards, and categorization schemas
* Transform raw data into clean, sellable products by defining scope, format, delivery, and pricing inputs
* Partner with Sales, Marketing, and Operations to bring new data products to market with clear positioning and use cases
* Define and track success metrics such as adoption, revenue contribution, and engagement
* Manage and audit audience segment taxonomies across internal systems and data marketplaces to ensure accuracy and quality
* Serve as the internal expert on data sources, structure, quality, and use cases
* Partner with Data Engineering and Analytics teams to ensure pipelines support product needs
* Bridge technical and commercial stakeholders and support Sales in technical data discussions
* Gather feedback to iterate on existing products and identify new opportunities
* Stay current on industry trends in data, martech, and adtech
* Document and refine product processes to support scalable growth

REQUIREMENTS:
What You Bring
* 2 to 5 years of experience in data product management, data strategy, or a closely related role
* Strong understanding of data concepts including taxonomy, classification, metadata, and data quality
* Experience working with structured data (CSV, JSON, APIs) and commercialization use cases
* A product mindset focused on user value and business outcomes
* Ability to document requirements for both technical and non-technical audiences
* Comfort operating in ambiguity with a bias toward action
* Strong cross-functional communication and stakeholder alignment skills
* Experience with tools such as SQL, spreadsheets, Jira, Confluence, and BI platforms
* Exposure to AI-driven data use cases such as classification, enrichment, or automation
* Experience in martech or adtech data ecosystems, audience segmentation, identity resolution, data licensing, data governance, privacy frameworks, cloud-based data stacks, and modern BI tools (nice to have)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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