Senior Product Manager I – Enterprise Systems Data

• 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

• Bachelor’s degree in Business, Information Systems, Computer Science, or a related field — or equivalent practical experience. Advanced degree is a plus but not required
• 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
• 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
• Legally eligible to work in the U.S. on an ongoing basis

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. 

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