Data Product Owner

Job Summary

The Data Product Owner leads an agile team of data engineers, analysts, and scientists to deliver high-impact data products and solutions that drive business growth and enable data-driven decision-making. This role partners with the Vice President of Insights and Innovation to define and execute a comprehensive data strategy, focusing on establishing a single source of truth, integrating data for personalization, generating actionable insights, and advancing predictive analytics as a core business capability. The Data Product Owner translates complex technical schemas into intuitive member journey frameworks, aligning data initiatives with organizational objectives and transitioning from static reporting to predictive analytics.

The Data Product Owner reports to the Vice President – Insights and Innovation.

Essential Functions

Product Ownership & Strategy

• Define and prioritize the product backlog for data-related initiatives, focusing on predictive analytics and member journey insights.
• Collaborate with the VP of Insights and Innovation to implement a data strategy that supports member analytics, risk management, compliance, and operational efficiency.

Data Advocacy & Member Journey Translation

• Oversee development of data models that translate technical schemas into business-friendly frameworks, highlighting member pain points and enabling personalized experiences.
• Promote data democratization and simplification across the organization.

Agile Team Leadership

• Lead an agile team, fostering collaboration and innovation to deliver scalable data products and pipelines.
• Mentor and coach team members to support professional growth and high-quality delivery.

Stakeholder Engagement & Communication

• Partner with business leaders, IT, and other stakeholders to understand requirements and communicate progress, emphasizing member journey insights and predictive analytics.
• Act as a subject matter expert in data product management.

Data Governance & Compliance

• Ensure data products adhere to industry regulations and maintain high standards of data quality, security, and governance.

Innovation & Continuous Improvement

• Stay informed about emerging data technologies and methodologies to drive innovation and enhance data capabilities.

Other

• Adhere to all company policies, procedures and business ethics codes.
• Complete required regulatory training as assigned.
• Maintain strict adherence and compliance to all laws, rules, regulations, and internal controls specific to the role, including but not limited to Bank Secrecy Act, Anti-Money Laundering, USA Patriot Act, OFAC and Fair Lending regulations.

Knowledge/Skills/Abilities

• Excellent communication skills, able to convey complex concepts to non-technical stakeholders.
• Ability to take business priorities and map them into technical requirements. Gathering business feedback to ensure that the business outcomes are being met.

• Closely work with platform data architects to design consumption data models (Data Vaults).

• Collaborate with cross-functional teams to align data strategies with business objectives and drive continuous improvement in data processes.Strong analytical and problem-solving skills, with expertise in data engineering, data science, and analytics.
• Proficiency with cloud platforms (AWS, Azure, GCP Databricks, Snowflake), and agile tools (Jira, Confluence).
• Leadership abilities to inspire and guide cross-functional teams.
• Strategic thinking and ability to align data initiatives with business goals.
• Ability to thrive in a fast-paced, dynamic environment and manage competing priorities.
• Ability to take the data vision and prioritize into the roadmap, attribute priorities to outcomes.

• Ability to manage the complete life cycle of products and services using various methodologies for successful optimization.

Competencies

• Demonstrating Member Obsession

• Puts themselves in the Member’s shoes
• Looks for friction points
• Makes it personalized and easy

• Demonstrating Performance Excellence

• Sets standards for elevating excellence
• Ensures elevated quality
• Takes responsibility
• Conducts continuous improvement

• Demonstrating Innovation

• Challenges current thinking
• Approaches change with a positive mindset

Experience

Minimum Qualifications

• Bachelor’s degree in Business, Computer Science, Data Science, or related field.
• 7+ years in product management, data management, or related role, with at least 3 years leading agile teams.
• Proven track record of delivering data products or solutions in a cloud-based environment.
• Experience translating technical data models into business-oriented frameworks.
• 3+ years in financial services (banking, insurance, fintech).

Preferred Qualifications

• Master’s degree or MBA.
• Certified Scrum Product Owner (CSPO) or equivalent.
• Data-related certifications (Databricks, AWS Certified Data Analytics, etc.).
• Experience in data migration.

Physical Demands

The physical demands described are representative of those that an employee must meet, with or without accommodation, to perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Frequent

• While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle or feel; reach with hands and arms; and talk or hear.
• Specific vision abilities required by this job include close vision, distance vision, peripheral vision and ability to adjust focus.
• Extensive use of the telephone and virtual communications platforms, requiring the ability to effectively listen and accurately explain complex information.

Work Environment

The work environment characteristics described are representative of those an employee encounters while performing the essential functions of this job.

• This position requires frequently working onsite at UFCU Plaza in Austin, Texas.
• This position may involve periodic stressful conditions.
• May occasionally require an adjusted work schedule, overtime, and evening/weekend hours.
• Public contact position, requiring appropriate professional appearance.
• Frequent computer use at a workstation up to two hours at a time.
• The noise level in the work environment is usually quiet.

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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