Product Owner responsible for SAP Order to Invoice area in Enterprise Enablement. Defining stories, prioritizing backlogs, and collaborating with SAP Functional consultants.
About the role
- Data Product Owner leading the development and integration of data products at LPL Financial. Collaborating with stakeholders to enhance customer experience and drive measurable business value.
Responsibilities
- Act as the primary liaison between product managers, architects, business stakeholders, and technical teams.
- Facilitate clear, consistent, and proactive communication across cross-functional teams.
- Collaborate with Compass integration teams to gather metadata, documentation, and data samples.
- Champion a customer-centric mindset, ensuring data products meet user needs and deliver measurable value.
- Define and document data requirements and acceptance criteria for user stories.
- Maintain traceability between business requirements and technical implementation.
- Monitor progress of Compass-related features and stories, raising blockers and dependencies proactively.
- Represent the data product team in all scrum ceremonies including sprint planning, refinement, retrospectives, and daily standups.
- Partner with Compass integration teams to support agile delivery and ensure alignment on data needs.
- Provide actionable insights to stakeholders through data exploration and analysis.
- Support data-driven decision-making across teams.
- Lead and guide Data Analysts in validating reported issues and performing production data validation across environments.
- Ensure data products adhere to quality standards and governance protocols.
- Support documentation and change management processes, especially regarding impacts to existing Systems of Record (SORs).
- Promote best practices in data stewardship and compliance.
- Create and maintain business requirement documents (BRDs), use cases, and user stories.
- Post and manage relevant artifacts in Confluence for team visibility and alignment.
- Track and report on project progress, key metrics, and delivery milestones.
Requirements
- 7+ years’ experience in data warehouse design, data management, data governance, business intelligence and analytics, or similar.
- 7+ years and expert level use of reading and coding in SQL.
- Proven experience in individual contributor-level data management roles like data analyst, data modeler, data pipeline engineer, BI analyst, or developer
- 5+ years' experience with JIRA and Confluence
- Hands-on data analysis, source-to-target mapping, data lineage tracing, remediation, etc.
- Experience coding or reading and understanding data transformations in pipelines.
- Experience designing and implementing a variety of data architecture patterns.
- Experience using and developing in a variety of RDBMS like AWS, Snowflake, etc.
- Wealth management and wealth advisory services industry experience.
- Prior people leadership experience.
- Prior experience in a data product management role
- Agile and lean delivery methods and associated tools like Confluence, Jira, etc.
- Solid understanding of relational, star, snowflake data modeling.
- Solid knowledge base of data governance including data quality rules coding and implementation, data catalogs, quality scorecard development, data lineage, mastering data, and reference data management.
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
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