Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GTM Data Manager in the United States. As a GTM Data Manager, you will play a critical role in ensuring the accuracy, enrichment, and governance of GTM data that drives strategic business decisions. You will lead efforts to maintain a reliable, high-confidence database, supporting sales, marketing, and revenue operations with actionable insights. This role involves collaborating across functions, managing data processes and offshore teams, and optimizing data workflows for analytics, planning, and territory design. The ideal candidate thrives in a fast-paced, results-oriented environment, excels at problem-solving, and is passionate about data quality and operational excellence. You will have the opportunity to implement innovative tools and processes, making a measurable impact on business performance. Accountabilities: Oversee the integration of AI and automated tools for data enrichment, validation, and quality assurance. Manage offshore data analyst teams, ensuring productivity, quality, and adherence to SLAs. Implement and maintain data governance frameworks, monitoring data quality and enforcing scalable processes. Conduct workshops with business stakeholders to understand data use cases and deliver solutions that address GTM challenges. Monitor record ingestion, deduplication, and hierarchy management across CRM and marketing platforms (e.g., Salesforce, Hubspot, Marketo). Serve as the primary point of contact for data vendor relationships, managing consumption and optimizing costs. Analyze, document, and communicate data changes and impacts across downstream systems. Minimum 5 years of experience in data stewardship, data analytics, or related roles, preferably in SaaS or Revenue Operations. Proven experience managing and QAing offshore/overseas data analyst teams. Strong analytical skills with experience building data quality and governance frameworks. Experience with database integrations, especially post M&A or partnership agreements. Proficiency with Python, Databricks, and data querying languages (SQL, SAQL, SOQL) is a plus. Skilled in statistical modeling techniques (e.g., multivariable regression analysis). Excellent verbal and written communication skills, with the ability to influence stakeholders at all levels. Highly organized, action-oriented, and comfortable working in ambiguous or complex environments. Competitive salary range: $135,600 – $203,800 USD, depending on experience. Hybrid or fully remote work options with flexible scheduling. Top-tier health benefits, including medical, dental, and vision insurance. Paid time off, including an encouraged 20 days per year. Employee Assistance Program (EAP) and wellness resources. 401k matching and child education savings support. Recognition programs celebrating tenure and achievements. Inclusive, diverse, and collaborative workplace culture supporting professional growth. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1