Product Manager
The Associate Business Data Product Owner drives value from data assets by defining roadmaps, translating business needs into data products, and collaborating with data owners, stewards, and analytics teams to ensure discoverable, consumable, and outcome‑focused data solutions.
The Associate Data Product Owner drives the business value of data assets by shaping and executing the road map for a specific data domain (e.g., Customer, Financial, Operational). Acting as the bridge between business stakeholders and data delivery teams, the Data Product Owner ensures that data products align with strategic priorities and deliver measurable outcomes.
Position Responsibilities:
Partner with Data Owners, Stewards and Consumers to create data products that are easy to discover, consume and use for multiple stakeholders’ use cases.
Serve as Business Liaison
Act as the primary point of contact for business and analytics teams. Translate business requirements into actionable data use cases outlined in the Data Catalog
Facilitate and participate in requirements sessions to capture requirements as per the stakeholders' needs
Guide creation of mapping documents that covers business rules, data lineage, ensures data quality and accuracy.
Data Product Ownership
Be the primary contact point for the data delivery team on assigned data products by providing requirements to the development team.
Assure data product quality, partnering with data owners & stewards
Facilitate/Coordinate or execute UAT testing.
Promote good data governance practices (e.g. document metadata, capture product data lineage)
Approve data product access requests, establish data access policies
Continuously improve the data product based on feedback.
Establish and monitor KPIs such as adoption rates, time-to-insight, and decision enablement.
Participant in Data Practice
Collaborate with fellow DPOs, Stewards, Technical Product owners to improve the tools, process and technology for Retirement Data products.
Recommend and implement new requirements to embed quality, metadata, and governance standards in the ways of working.
Ensure compliance with privacy, security, and regulatory frameworks.
Required Qualifications:
3-5 years in data product management, analytics, or product leadership.
Knowledge of BI analytics/concepts and data warehouse platforms.
Problem solver who thinks strategically, results oriented and attentive to details.
Knowledge of the financial services industry with a preference to US Retirement industry experience.
High adaptability and strong critical thinking skills.
Familiar with data and analytics analysis tools and delivery technologies:
SQL (mandatory)
Jira/Confluence (an asset)
Databricks (optional)
Best practices in user acceptance testing (UAT).
Exceptional communication and stakeholder engagement skills.
When you join our team:
Posted June 24, 2026