Data Strategy Operations Manager

Vaga não está no LinkedIn

🕒 3 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $107.100 - $154.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⚙️ Operações

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Descrição

• Own the go-to-market data quality strategy and steward data across Salesforce and connected systems • Design processes, controls, and intelligent workflows that keep data accurate, enriched, and trusted at scale • Set data governance strategy, standards, ownership model, and source-of-truth hierarchy • Establish policies, access controls, field-level definitions, record creation and deprecation rules, and monitor adherence • Ensure data compliance and security and flag risks to IT, security, and leadership • Replace manual data tasks such as deduplication, enrichment, account matching, hierarchy mapping, routing, and anomaly review with automated and AI-assisted workflows • Design and maintain AI agents and LLM-powered workflows with guardrails, human review points, and accuracy measurement • Build automated data quality monitoring and issue remediation workflows • Evaluate AI, enrichment, and automation tools, run pilots, and measure time savings, accuracy gains, and coverage • Own account enrichment strategy, including hierarchies, employee count, location, industry, and Fortune ranking • Serve as subject matter expert for Business Operations, Marketing Operations, Customer Success, and Finance • Manage feedback intake, support consistent reporting and dashboards, and manage data quality and automation projects

🎯 Requisitos

• 5+ years in Sales Operations, Data Operations, or a similar analytical or systems role • Hands-on experience building automation with AI or LLM tools, including agents, prompt-driven workflows, or AI-assisted enrichment, with shipped examples • Strong understanding of data lifecycle management, data modeling, master data management, and requirements gathering • Understanding of Salesforce automation, including Flow and validation rules, and experience working closely with administrators • Experience implementing and managing data and enrichment tools, including Clay, Kernel, Starbridge, and Onfire • Proficiency in Excel • Track record of leading data management projects from idea to result • Judgment about AI reliability and controls for privacy, security, and accuracy • Detail oriented, self-motivated, proactive, and quick to learn new tools • Strong written and verbal communication skills, including explaining technical and AI concepts to non-technical partners • Preferred: experience with Workato or Zapier, Snowflake or dbt, SQL, and a high-growth SaaS or security company

🏖️ Benefícios

• Bonus or incentive compensation may be available • Equity may be available • Comprehensive benefits package • Pre-employment checks aligned with security and privacy standards

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