107K–154K USD / year
Data Strategy Operations Manager
DataWorkplace — unknown
Published on 2026-11-06
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Own the go-to-market data quality and governance strategy across Salesforce and connected systems. Build scalable automation and AI-assisted workflows that improve data accuracy, reduce manual work, and support reliable reporting across business functions.
About the company
Abnormal Security uses AI to detect and stop email and collaboration attacks such as phishing and business email compromise. It protects enterprises against social engineering and account takeover.
Stack
SalesforceFlowClayKernelStarbridgeOnfireWorkatoZapier
What you'll do
- Set GTM data governance standards, ownership, and source-of-truth rules.
- Establish data policies, access controls, field definitions, and lifecycle rules; monitor compliance and flag risks.
- Automate data deduplication, enrichment, account matching, hierarchy mapping, routing, and anomaly review.
- Build and maintain AI/LLM workflows with guardrails, human review, and accuracy measurement.
- Monitor data quality, route alerts, and automate remediation where appropriate.
- Select and pilot AI, enrichment, and automation tools; measure time savings, accuracy, and coverage.
- Own account enrichment strategy and maintain accurate firmographic data.
- Manage data quality and automation projects, and support cross-functional reporting and feedback processes.
What we're looking for
- 5+ years in Sales Operations, Data Operations, or a similar analytical or systems role.
- Hands-on experience shipping AI or LLM-powered automation workflows, with examples to share.
- Strong knowledge of data lifecycle management, data modeling, master data management, and requirements gathering.
- Understanding of Salesforce automation, including Flow and validation rules; experience partnering with Salesforce administrators.
- Experience implementing and managing data and enrichment tools, including Clay, Kernel, Starbridge, or Onfire.
- Proficiency in Excel and a track record of leading data management projects from idea to outcome.
- Sound judgment about AI reliability and controls for privacy, security, and accuracy.
- Strong communication skills and ability to explain technical concepts to non-technical partners.
Nice to have
- Experience with Workato or Zapier, Snowflake or dbt, and SQL.
- Experience in a high-growth SaaS or security company.