Data Product Manager

Job Description

Our client is seeking an experienced Data Product Manager to support a strategic Customer 360 initiative within a large insurance and financial services organization, Guardian Life. This role will help bridge the gap between the business definition of the customer and the technical implementation of a Customer360 data product

Requirements

• Must understand ‘householding’ of customer profiles – bringing individuals into a household view; a centralized ‘brain’. (See Avantos.ai below)
• Databricks and Reltio experience are a must-have
• Avantos.ai experience is a nice to have
• Experience with life insurance products
• Experience with “lumping data together” for this sort of project
• Candidates from Financial Services or Banking may be a good fit
• Strong communication skills are critical

Key Responsibilities

• Lead requirements gathering and definition for the Customer360 data product.
• Translate business concepts, data relationships, and customer definitions into clear technical requirements.
• Partner with business and technology stakeholders to establish a consistent customer model across multiple business units and systems.
• Help define complex concepts such as customer householding and customer relationships.
• Support the mapping and integration of customer data across disparate source systems.
• Work with technical teams developing data feeds, APIs, event-based integrations, and the underlying analytics/data platform.
• Connect conceptual data models and business requirements with the overall technology implementation.

Desired Experience

• Strong experience as a Data Product Manager, Data Product Owner, or similar data-focused consulting leader.
• Experience with Customer 360, Master Data Management (MDM), or complex customer data initiatives.
• Strong ability to translate business requirements into technical/data requirements.
• Experience working across multiple enterprise data sources and customer systems.
• Familiarity with Reltio, Databricks, APIs, data feeds, or event-driven architectures.