Category Data Product Owner

Description -

Job Summary

•  The Category Finance Data Product Owner owns one or more Category Finance data products within a sub-domain and is accountable for delivering trusted, well-governed Finance insights for decision-making. The role develops and maintains business-facing semantic and logical data models, ensuring that Finance definitions, hierarchies, and metrics are consistent, auditable, and aligned to business outcomes. The role partners with upstream system owners, data engineering, and solution owners to deliver the roadmap, drive adoption, and improve product quality.

The role is responsible for applying deep subject-matter authority across Finance data subjects (e.g., Revenue & Margin/ Profitability, Planning/Budget context) and for ensuring Finance-grade quality control and access governance across the owned products and solutions.

For products supporting GTM insights, this role specifically ensures that Finance data is reliably sourcing GTM360 Profitability dashboard (a Power BI solution), including metric integrity, dimension completeness (e.g., Profit Center/Segment, GTM segment, etc.), and operating readiness (support model, access profiles, and refresh expectations).

Responsibilities

• Responsible for one or more Data Products within a Finance sub-domain (e.g., Revenue & Margin, Profitability, Planning/Budget enablers), including end-to-end ownership of outcomes, adoption, and quality.

• Maintain required artifacts and metadata in the relevant tools/knowledge repositories as defined by the Data Product Management lead (e.g., mappings, glossary/definitions, ownership, lineage inputs).

• Define and implement business metrics and KPIs relevant to the owned Finance data products, aligned to business process owners and data consumers.

• Manage and prioritize the product backlog of enhancements and change requests; deliver per agreed roadmap and standards with engineers and solution owners.

• Define Finance semantic models / app design strategy with data consumers, aligned to product definition characteristics and consumption patterns

• Own Finance metric definitions and dimensional usage across key Finance subjects, including (as applicable to the product scope):

– Revenue & Margin measures and drivers, including required levels of granularity and cost types used for profitability views.

– Finance context for planning/budgeting, acknowledging that Finance sets long-term plans and yearly budgets that cascade targets and spend expectations.

– Core Finance reporting structures referenced in GTM360, such as Profit Center & Segment and Projected and Actual Revenue and Margin Metrics as controlled-access subjects.

• Serve as Solution Owner for the GTM360 Profitability dashboard, ensuring that the solution reliably enables profitability analysis by GTM segment, product line, country for the defined scope.

• Partner with upstream owners and platform/ops teams to ensure operating readiness for GTM360 Profitability data flows

• Own or coordinate the documentation, access readiness, and user enablement inputs for GTM360 Profitability (including access profile alignment and user guidance references).

• Engage with upstream system-of-origin owners to identify/influence required changes and communicate impact to consumers and stakeholders.

• Own stakeholder communications regarding changes, issues, and opportunities; coordinate release readiness and adoption actions.

• Sign off on projects/UAT impacting the owned product(s).

• Build and manage relationships across the organization; provide guidance and mentoring to less experienced staff members.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.

• Typically has 10+ years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

Knowledge & Skills

• Strong Finance data-domain fluency: profitability logic, revenue/margin interpretation, cost drivers, and planning/budget context.

• Experience defining semantic models for BI tools and aligning them to standardized definitions and consumption behaviors.

• Knowledge of SQL and other database query languages would be a plus

• Familiarity with agentic AI concepts such as autonomous agents, planning routines

• Advanced Excel understanding

• High familiarity with data visualization tools like Power BI

• Microsoft Azure basic knowledge

• Understanding of data management and data quality processes.

• Proficiency in data modeling and data analysis techniques.

• Ability to translate business needs into technical requirements.

• Experience in managing product backlogs and prioritizing tasks to meet business objectives.

• Ability to collect, analyze, and interpret data to make informed decisions.

• Problem-solving skills to identify and resolve data quality issues.

• Capacity to evaluate data to optimize the efficiency and quality of insights.

• Excellent verbal and written communication skills to convey complex information clearly.

• Strong interpersonal skills to build and maintain relationships with stakeholders.

• Ability to work collaboratively with cross-functional teams, including data scientists, analysts, and developers.

• Deep understanding of Agile and Scrum methodologies.

• Ability to facilitate Scrum ceremonies and ensure alignment with product goals.

• Focus on understanding and meeting customer needs.

• Ability to gather and incorporate customer feedback into product development.

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
• Provides highly innovative solutions to complex problems within established policy.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Romania)

Travel -

No

Relocation -

No

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"