What are the responsibilities and job description for the Senior Data Product Owner position at Prism IT Global?
- Own the end-to-end lifecycle of enterprise data products, from ideation and requirements gathering through delivery, adoption, and continuous enhancement
- Partner with wealth management, investment, operations, compliance, and business stakeholders to identify, prioritize, and refine product requirements
- Define product vision, strategic roadmaps, business value propositions, and success metrics for data-driven initiatives
- Translate business objectives into epics, features, user stories, and acceptance criteria for Agile delivery teams
- Manage and prioritize product backlogs based on business value, regulatory requirements, stakeholder needs, and strategic objectives
- Collaborate with data engineering, architecture, analytics, governance, and reporting teams to deliver scalable data products and platforms
- Drive requirements for enterprise reporting, dashboards, data marts, analytical products, and data management initiatives
- Ensure data products align with governance standards, data quality expectations, compliance requirements, and business processes
- Facilitate sprint planning, backlog grooming, user acceptance testing, release planning, and stakeholder demonstrations
- Serve as the primary liaison between business stakeholders and technical teams throughout the product lifecycle
- Measure product adoption, performance, and business impact using KPIs, analytics, and stakeholder feedback
- Champion continuous improvement initiatives that enhance data accessibility, usability, and business value
Must Haves
- 7–10 years of experience as a Product Owner, Data Product Owner, Business Product Owner, or similar product leadership role
- Experience delivering enterprise data, analytics, business intelligence, reporting, or data platform initiatives
- Strong understanding of Agile/Scrum methodologies, product ownership practices, and product delivery frameworks
- Proven experience writing user stories, managing product backlogs, and defining acceptance criteria
- Ability to effectively partner with both business stakeholders and technical delivery teams
- Strong communication, facilitation, stakeholder management, and requirements-gathering skills
- Experience translating complex business requirements into scalable technical solutions
- Domain expertise in one or more of the following areas:
- Wealth Management, Wealth Advisory, Registered Investment Advisory (RIA), Asset Management, Investment Management, Brokerage Services, Financial Planning, Retirement Services, Capital Markets, Investment Operations
Good to Have
- Experience supporting advisor platforms, client reporting, portfolio management systems, or investment analytics solutions
- Knowledge of investment products including equities, fixed income, mutual funds, ETFs, alternatives, and managed accounts
- Familiarity with client onboarding, advisor workflows, portfolio construction, trading platforms, and performance reporting processes
- Experience with data governance, metadata management, master data management, and data quality initiatives
- Knowledge of cloud-based data platforms and modern data architecture patterns
- Experience operating within highly regulated financial services environments
- Hands-on exposure to technologies such as Snowflake, Databricks, Azure, AWS, SQL, and enterprise data warehousing solutions
- Experience with reporting and visualization tools including Power BI, Tableau, or comparable BI platforms
- Familiarity with Jira, Confluence, and Agile product management toolsets
- Understanding of data modeling concepts and enterprise data governance frameworks