Principal Product Manager – Enterprise Systems Data
New
Can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.Full-TimePrincipal
Salary182,500 - 238,750 USD per year
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Job Details
- Experience
- 8+ years of experience in Product Management, Business Systems, Data Platforms, or similar roles
- Required Skills
- ETLProduct ManagementSalesforceSnowflakeData modelingNetSuiteWorkday
Requirements
- Bachelor’s degree in Business, Information Systems, Computer Science, or a related field or equivalent practical experience
- 8+ years of experience in Product Management, Business Systems, Data Platforms, or similar roles
- Strong experience working with enterprise systems and their data models (e.g., Salesforce, NetSuite, Workday)
- Familiarity with data platforms such as Snowflake, Databricks, or similar data lakes/warehouses
- Experience working with data pipelines, ETL/ELT processes, and system integrations
- Strong understanding of data governance, data quality, and data modeling concepts
- Experience driving cross-functional alignment on ambiguous topics
- Ability to translate complex data challenges into clear product direction
- Excellent analytical and both verbal and written communication skills
- Experience with data cataloging, lineage, or observability tools is a plus
- Experience supporting analytics, reporting, or AI-driven use cases is a plus
Responsibilities
- Own the product vision, roadmap, and prioritization for data platforms and governance across Corporate Systems
- Define and drive the strategy for system-of-record and source-of-truth across enterprise platforms
- Partner with Engineering, Data Engineering, and Analytics teams to improve data quality, consistency, and availability
- Lead initiatives to standardize data definitions, models, and contracts across Finance, Sales, and People domains
- Identify and reduce fragmentation caused by duplicate pipelines, shadow reporting, and inconsistent data sources
- Drive adoption of data cataloging and governance tooling
- Partner with teams to implement data observability solutions
- Define and enforce data contracts between upstream systems and downstream consumers
- Improve reliability and timeliness of data pipelines supporting critical processes
- Partner with business stakeholders to translate reporting challenges into systemic data improvements
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