Smartsheet
SeniorProductManager–EnterpriseSystemsData
“Senior Product Manager – Enterprise Systems Data at Smartsheet. Skills: Enterprise Systems Data Strategy, Data Governance, Data Platforms, Product Management. 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)”
What You'll Achieve.
improve data quality and observability; enable consistent, trusted data flows; driving clarity in data ownership; reducing fragmentation; enabling scalable reporting, analytics, and AI use cases; improve data quality, consistency, and availability; standardize data definitions, models, and contracts; reduce fragmentation caused by duplicate pipelines, shadow reporting, and inconsistent data sources; improve visibility, lineage, and ownership; proactively detect and resolve data issues; Improve reliability and timeliness of data pipelines; 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
Industry & Context.
translate complex data challenges into clear product direction and prioritization decisions; Identify and reduce fragmentation caused by duplicate pipelines, shadow reporting, and inconsistent data sources; proactively detect and resolve data issues; translate reporting challenges into systemic data improvements rather than manual workarounds
Legally eligible to work in the U. S. on an ongoing basis
What They're Looking For.
Must Have
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, 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, 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, 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
Nice to Have
Advanced degree is a plus but not required, Experience with data cataloging, lineage, or observability tools is a plus, Experience supporting analytics, reporting, or AI-driven use cases is a plus
What You'll Do.
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.
How You'll Work.
Team & Collaboration
Collaborate closely with Engineering and business stakeholders across the company.; Operate at the intersection of Engineering, Business Systems, Data Engineering, and Analytics; Partner with Engineering, Data Engineering, and Analytics teams; Partner with teams to implement data observability solutions; Partner with business stakeholders (Finance, RevOps, BI)
Communication Scope
verbal and written communication skills; ability to influence without authority; communicate tradeoffs and roadmap decisions
Process & Methodology
roadmap and prioritization, driving initiatives, defining and enforcing contracts, managing change
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