Sr. Associate, Gtm Data Systems, Strategy & Architecture

Uber Uber · Consumer · New York, NY +2 · Operations

This role focuses on owning and architecting the Salesforce data roadmap to scale GTM ambitions, acting as a business owner to bridge technical engineering and business strategy. It involves leading data initiatives like Account AI Enrichment and managing cross-functional governance to ensure data integrity and optimize team velocity.

What you'd actually do

  1. Architect GTM Data Strategy and Architecture: Design and lead the implementation of high-stakes data initiatives, such as Account AI Enrichment and global vendor infrastructure integrations
  2. Drive SFDC Transformation: Own the evolution of Salesforce as the Source of Truth, overseeing complex hierarchy restructuring, parent-child relationship cleanup, and systemic data governance
  3. Lead Cross-Functional Governance: Establish and chair working groups across Engineering, RevTech, and Sales Leadership to resolve systemic blockers, define R&Rs, and eliminate data leakage
  4. Mitigate Strategic Risk: Proactively identify and resolve system vulnerabilities and architectural gaps before they impact revenue or reporting integrity
  5. Optimize Team Velocity: Manage strategic data resources and capacity planning, leveraging velocity analysis to accelerate GTM decision-making

Skills

Required

  • 5+ years of experience in Revenue Operations, Product Operations, or Management Consulting, or similar field
  • Salesforce Mastery: Deep SFDC ecosystem knowledge to push platform boundaries (without needing to code)
  • Familiarity with tooling such as Zoominfo, Clay, etc.; well-versed in data warehousing and APIs
  • Proven ability to translate complex business GTM needs into scalable technical requirements and infrastructure design
  • Strong experience leading initiatives across technical (Engineering/Product) and non-technical (Sales/Operations) stakeholders

Nice to have

  • People Management Experience
  • Experience with or desire to learn GTM Engineering
  • Technical Proficiency: Familiarity with SQL, data enrichment tools, and API integration workflows
  • Change Management: Demonstrated success in leading large-scale organizational transformations or system migrations
  • Ability to weigh tradeoffs, prioritize foundations against 'exciting' trends, and communicate risks

What the JD emphasized

  • Account AI Enrichment
  • global vendor infrastructure integrations
  • systemic data governance
  • system vulnerabilities
  • architectural gaps
  • revenue or reporting integrity
  • velocity analysis