Associate Business Data Product Owner
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Job Description
Associate Data Product Owner at Manulife driving data assets for business value by collaborating with stakeholders and analytics teams. Engages in product ownership, governance, and continuous improvement of data products.
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.
- 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.
- 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.
Requirements:
- 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.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work arrangements
- Paid time off
- Employee assistance plans
- Adoption/surrogacy benefits
- Mental health coverage
- Dental insurance
- Vision insurance
- Life insurance coverage
- Short- and long-term disability insurance
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