Sr Technical Program Manager, Data

Role overview Lead cross-functional data foundation programs that make product telemetry, platform health measures, and analytics infrastructure more reliable and useful. The work combines program delivery with product scoping: coordinating teams toward adoption while translating customer needs and business questions into requirements and roadmaps. You’ll work across technical and business groups without direct authority over all contributors.

Responsibilities - Own data initiatives from initial definition through implementation, organizational adoption, and enablement. - Coordinate Engineering, Product, Sales, and Customer Operations to resolve dependencies and keep delivery moving. - Turn business needs into technical requirements, user stories, roadmaps, and achievable milestones. - Partner with engineering to improve data pipeline reliability and event streaming, and define service level agreements. - Establish shared data definitions and governance practices, including requirements for automated anomaly detection. - Set up intake and milestone tracking, lead stakeholder updates, and surface delivery risks early.

Requirements - Five to eight years of technical program management experience delivering complex, multi-team data programs in a technology environment. - Ability to use SQL independently to explore schemas, validate datasets, and investigate anomalies. - Foundational understanding of cloud data architectures and tools such as Snowflake, dbt, or Fivetran. - Skill in explaining technical trade-offs to both senior leaders and engineering teams, and aligning stakeholders. - Bachelor’s degree in computer science, information systems, engineering, statistics, or equivalent practical experience.

Nice to have - Product management experience, including customer discovery, writing requirements, or planning multi-quarter roadmaps. - Background in data engineering, analytics engineering, or business intelligence. - Familiarity with AI-assisted development tools, data governance, privacy, or enterprise data catalogs. - Certifications such as PMP, PMI-ACP, AWS Certified Data Analytics, or Snowflake SnowPro.

Benefits and work setup - Work-from-home options and flexible, manager-approved paid time off. - Healthcare coverage options include HSA, PPO, vision, dental, and mental wellness plans. - 401(k) with a company match of up to 6% of annual salary. - 12 weeks of paid parental leave, with four additional weeks for birthing parents. - Stock options.