Senior Product Manager I – Enterprise Systems Data

Smartsheet has been empowering teams for over 20 years with innovative solutions for work management. The Senior Product Manager I – Enterprise Systems Data will lead the strategy for Corporate Systems data governance, ensuring accurate and reliable data flows across various platforms while collaborating with engineering and business stakeholders.

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 (e.g., Salesforce vs NetSuite vs product systems)
• Partner with Engineering, Data Engineering, and Analytics teams to improve data quality, consistency, and availability across systems
• 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 (e.g., Atlan) to improve visibility, lineage, and ownership
• Partner with teams to implement data observability solutions (e.g., Monte Carlo) to proactively detect and resolve data issues
• Define and enforce data contracts between upstream systems (product, billing, CRM) and downstream consumers (Snowflake, BI tools, AI systems)
• Improve reliability and timeliness of data pipelines supporting critical processes such as bookings, ARR reporting, and financial reconciliation
• Partner with business stakeholders (Finance, RevOps, BI) to translate reporting challenges into systemic data improvements rather than manual workarounds
• Establish metrics to track data quality, pipeline reliability, and adoption of governed data sources
• Communicate tradeoffs and roadmap decisions across technical and business stakeholders
• Support governance, lifecycle planning, and change management for data-related system changes

Requirements:

• Bachelor's degree in Business, Information Systems, Computer Science, or a related field — or equivalent practical experience
• 7+ 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, product platforms)
• 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 such as source-of-truth, data ownership, and system boundaries
• Ability to translate complex data challenges into clear product direction and prioritization decisions
• Strong analytical and both verbal and written communication skills with the ability to influence without authority
• Legally eligible to work in the U.S. on an ongoing basis
• Advanced degree is a plus but not required
• Experience with data cataloging, lineage, or observability tools is a strong plus
• Experience supporting analytics, reporting, or AI-driven use cases is a strong plus