Product Manager

Emerson•Austin, TX

1d•Remote

About The Position

We are seeking a Customer Data Business Product Owner to lead the development of a next-generation Customer Data Platform (CDP) and enterprise Customer 360 capability. This is a highly strategic, enterprise-wide role responsible for defining how customer data is structured, governed, and activated across systems. You will work across CRM, data platforms, digital systems, and analytics to unify fragmented data into a consistent, trusted, and actionable customer view. The ideal candidate brings deep expertise in customer data domains, strong product ownership skills, and hands-on experience building or scaling Customer 360 solutions, including entity resolution, data modeling, and governance frameworks.

Requirements

3+ years of experience in Product Owner, Data Product Owner, or Business Product roles
Strong experience with customer data domains (accounts, contacts, hierarchies, interactions, etc.)
Proven experience building or scaling Customer 360 / Customer Data Platform initiatives
Experience working across multiple systems and data platforms (e.g., CRM, MDM, data lake/warehouse)
Deep understanding of entity resolution, identity matching, and data modeling concepts
Experience translating business needs into data and system requirements
Only U.S. Persons (U.S. citizens, lawful permanent residents, or protected individuals as defined by 22 CFR §120) may be considered.

Nice To Haves

Experience with enterprise data governance frameworks and MDM concepts
Familiarity with platforms such as Salesforce, Azure, Snowflake, or CDP tools
Experience working in Agile/Scrum environments across multiple teams

Responsibilities

Define and own the vision, roadmap, and backlog for the enterprise Customer Data Platform
Lead the evolution of a Customer 360 data model, aligning to operational and analytics needs
Prioritize features based on value creation, data impact, and stakeholder demand
Explore and analyze customer data models across multiple source systems (CRM, Data Lake, etc.)
Define canonical data structures and relationships to support a unified customer view
Drive alignment across systems to reduce fragmentation and duplication
Define and evolve strategies for customer identity resolution across systems
Establish and enforce enterprise data governance frameworks for customer data
Define business rules, data definitions, ownership, and stewardship models
Ensure data quality, consistency, and compliance across systems
Act as the primary interface between business stakeholders and technical teams
Align across Sales, Marketing, Digital, Analytics, and IT functions
Define and track KPIs (data quality, adoption, business impact)