Data Product Owner

Jobtailor; Colorado; On-site; USD 95,000 - 140,000; Full time

Job summary

Jobtailor is seeking an experienced Product Owner to lead a client data domain in a Colorado-based team. You will partner with business, technology, analytics, operations, and risk groups to translate complex data needs into actionable product requirements and maintain a prioritized backlog.

You will guide discovery and delivery, define acceptance criteria, and lead UAT while ensuring governance, quality, and enterprise standards are embedded in every data solution.

Qualifications

• Bachelor's degree or the equivalent combination of education and relevant experience with 5+ years of total relevant work experience.
• Demonstrated experience in Agile environments (Scrum/Kanban) and collaborating with product, business, and technology teams.
• Proven ability to coordinate across matrixed teams and influence outcomes across cross-functional stakeholders.
• Strong knowledge of data management disciplines including governance, quality, metadata, lineage, and MDM.
• Comprehensive understanding of retail and retirement investment products (Brokerage, IRAs, ETFs, 401(k), 403(b), defined contribution/benefits).
• Strong analytical and problem-solving skills with experience translating data findings into business recommendations.
• Excellent written and verbal communication with the ability to convey technical concepts to leadership.
• Ability to manage multiple high-priority initiatives independently.

Responsibilities

• Acts as the Product Owner and main point of contact for an assigned client data domain.
• Partners with business, technology, analytics, operations, and risk teams to understand needs and improve data outcomes.
• Translates business objectives into clear product requirements and maintains the backlog.
• Leads discovery, refinement, delivery, validation, and adoption of product capabilities.
• Defines acceptance criteria and leads UAT for new or enhanced data products.
• Monitors data governance, quality, metadata, and enterprise standards across solutions.
• Drives remediation of data quality issues and manages dependencies.

Skills

Product Ownership

Agile Methodologies

Data Governance

SQL Proficiency

Data Quality Management

Education

Bachelor's degree

Tools

Jira

Confluence

MS Office

Teams

Job description

• Acts as the Product Owner and primary point of contact for an assigned client data domain
• Partners across business, technology, analytics, operations, and risk teams to understand needs, resolve issues, and improve data outcomes
• Consults with business stakeholders on complex client data needs and translates business objectives into clear product requirements
• Owns and prioritizes the backlog, balancing business value, data quality, risk, dependencies, and delivery capacity
• Partners with engineering, architecture, analytics, and business teams throughout product discovery, refinement, delivery, validation, and adoption
• Ensures product requirements incorporate data governance, quality, control, metadata, and enterprise standards
• Defines acceptance criteria and leads business validation and UAT for new or enhanced product capabilities
• Defines and monitors product success measures, including adoption, data quality, reliability, and business value
• Identifies and manages data quality issues, risks, and dependencies, driving remediation
• Provides guidance, knowledge sharing, and support to less experienced associates

Requirements

• Bachelor's degree or the equivalent combination of education and relevant experience AND 5+ years of total relevant work experience
• Demonstrated experience working in Agile environments (Scrum/Kanban) and collaborating with product, business, and technology teams
• Proven ability to coordinate and collaborate across matrixed teams and influence outcomes across cross-functional stakeholders
• Strong knowledge of data management disciplines including data governance, data quality management, metadata management, data lineage, and master data management (MDM)
• Comprehensive working knowledge of investment products within the retail and retirement plan space (e.g., Brokerage accounts, IRAs, ETFs, 401(k), 403(b), defined contribution, defined benefit plans)
• Strong analytical and problem-solving skills with experience conducting advanced data analysis and translating findings into actionable business recommendations
• Strong organization, planning, prioritization, and process improvement skills
• Strong knowledge of relational database models and SQL for data extraction, profiling, validation, and analysis
• Proficient at gathering and documenting business and data requirements and translating requirements into effective data solutions
• Experience managing complex datasets, data dependencies, and end-to-end data flows across multiple business processes and systems
• Experience implementing and executing data governance, data quality, and data management controls
• Experience leading testing and validation efforts for data products, data pipelines, reporting solutions, and system enhancements, including test planning, execution, defect management, and data reconciliation
• Excellent written and verbal communication skills with the ability to communicate technical concepts effectively to business stakeholders and leadership
• Self-directed, results-oriented, and able to manage multiple high-priority initiatives simultaneously while working independently with minimal guidance
• Experience with MS Office (advanced Excel, PowerPoint) and collaboration tools such as Jira, Confluence, and Teams
• Experience defining, monitoring, and reporting data quality metrics, governance KPIs, and remediation activities
• Experience mentoring, coaching, or providing guidance to less experienced associates
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
• FINRA licenses are not required and will not be supported for this role

Core Competencies

Demonstrates expertise in data management disciplines, including data governance, data quality management, and metadata management, while effectively collaborating across cross-functional teams to drive product success and improve data outcomes.

Highest-signal resume keywords

• Product Ownership
• Agile Methodologies
• Data Governance
• SQL Proficiency
• Data Quality Management

ATS Optimization Keywords

Hard Skills

• Data Governance
• Data Quality Management
• Metadata Management
• SQL
• Data Analysis
• Data Lineage
• Master Data Management
• Advanced Excel
• Test Planning
• Data Reconciliation

Soft Skills

• Analytical Skills
• Problem-Solving
• Organization
• Communication
• Collaboration

Industry Keywords

• Investment Products
• Brokerage Accounts
• IRAs
• ETFs
• 401(k)
• 403(b)
• Defined Contribution
• Defined Benefit Plans

Tools & Technologies

• Jira
• Confluence
• MS Office
• Teams