Data Product Manager at Trimble overseeing the lifecycle of AI-ready data products. Collaborating across teams to ensure scalable and customer-focused data solutions.
Responsibilities
Define and own the full lifecycle of one or more enterprise or domain-level data products, from ideation and roadmap through delivery and adoption.
Conduct persona-driven research to identify unmet business needs and translate them into product features and enhancements.
Partner with cross-functional stakeholders to define business cases, secure funding, and communicate the long-term vision for each data product.
Ensure data products are built with customer empathy and deliver measurable business outcomes across Sales, Marketing, Finance, PX, Customer Success, and Field Systems.
Document and manage product specifications including SLAs, schemas, lineage, access control, and business glossary terms.
Collaborate with engineering teams to design scalable pipelines using CI/CD and modern tools like dbt, Airflow, and Snowflake.
Manage sprint planning and backlog grooming through Jira, Confluence, and agile delivery practices (Scrum/SAFe).
Define MVPs, track release readiness, and coordinate go-to-market enablement where appropriate.
Represent your product(s) in governance forums and domain councils.
Track adoption metrics and iterate based on feedback and product usage analytics.
Act as a champion for Trimble’s trusted data strategy and serve as the voice of the business for data product enhancements.
Requirements
3–5 years in data product, analytics, or data engineering roles.
Proven experience writing business requirements and working across technical and non-technical teams.
Experience delivering using CI/CD pipelines, agile development cycles, and stakeholder-driven roadmaps.
Hands-on experience with Snowflake, SQL, Jira, and business intelligence tools.
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