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GTM Data Architect

Job in New York, New York County, New York, 10261, USA
Listing for: Gong.io Ltd.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: New York

Austin | Chicago | New York City | Salt Lake City | San Francisco

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.

For more information, visit (Use the "Apply for this Job" box below)..

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact.

If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

The GTM Data Architect owns the end-to-end strategy, governance, and execution of how data is orchestrated, enriched, controlled, and activated across the GTM organization. This role ensures that data is not just accurate, but usable, scalable, and embedded directly into workflows that drive adoption and performance. You will serve as the central owner of account and lead data strategy, bridging Rev Ops, Field Ops, Systems, Sales, Marketing, and AI/Automation teams to create a forward‑looking, execution‑ready data foundation.

RESPONSIBILITIES
  • Own the holistic strategy for how data flows across systems (SFDC, enrichment tools, AI tools, Gong, etc.).
  • Define how data is created, updated, validated, enriched, and consumed across GTM workflows.
  • Ensure consistency, scalability, and clarity in data ownership and data movement.
  • Design and own the enrichment framework (firmographics, techno graphics, intent, personas, buying groups, etc.).
  • Determine where enrichment happens, what tools are used, and how it is validated.
  • Balance automation, accuracy, cost efficiency, and business value.
Lead Routing Stakeholder
  • Be the primary business partner and strategic stakeholder for lead routing logic.
  • Ensure routing rules align to segmentation, territories, verticals, and coverage models.
  • Partner closely with Marketing Ops, Field Ops and GTM Systems to ensure speed, accuracy, and transparency.
Account Data Ownership
  • Serve as the business owner for account‑level data integrity and partner with the territories team on account data requirements.
  • Partner with the territory team and provide data‑supported recommendations on account definitions, hierarchies, segmentation, industry classification, and account status logic.
Process, Change Management & Communication
  • Own change management for any data model or process updates.
  • Create clear communication plans, documentation, and rollout strategies.
  • Ensure stakeholders understand what is changing, why it matters, and how to use it across the organization including Finance, Data, Sys Ops, Marketing Operations and the full GTM Operations team.
  • Partner with Rev Ops and Finance leadership to define where data strategy needs to be in 6–12–24 months.
  • Anticipate and support analysis on future GTM needs (AI readiness, automation, segmentation evolution, new products, new routes to market).
  • Ensure data foundations are built with scale and flexibility in mind.
Workflow Integration
  • Ensure data is embedded directly into seller and manager workflows.
  • Lead and partner with the entire GTM Ops team to make data actionable, not passive.
  • Optimize for adoption, clarity, and speed to value.
Data Controls & Governance
  • Own strong data control processes:
    • Field‑level governance
    • Validation rules
    • Exception handling
    • Auditability
    • Clear ownership models
  • Maintain a “single source of truth” mindset across the GTM ecosystem.
QUALIFICATIONS
  • 5+ years in Rev Ops, GTM Ops, Data Strategy, or Sales Operations roles.
  • Deep understanding of CRM architecture…
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