Data Strategy Operations Manager

About the role

This role owns the go-to-market data quality strategy and data stewardship across Salesforce and connected systems, designing processes, controls and AI-assisted workflows that keep GTM data accurate and trusted for Sales, Marketing, Customer Success and Finance. It suits candidates with 5+ years in sales operations, data operations or a similar analytical or systems role who have shipped AI or LLM-based automation.

What you'll do

• Set the data governance strategy, standards, ownership model and source-of-truth hierarchy for GTM data across Salesforce and connected systems
• Establish policies, access controls and field-level definitions, including record creation and deprecation rules, and monitor adherence
• Ensure compliance and security of data and flag risks to IT, security and leadership
• Replace high-volume manual 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 that classify, enrich, validate and remediate data, with guardrails, human review points and accuracy measurement
• Build automated data quality monitoring that detects issues early, alerts the right owner and fixes issues without human intervention where appropriate
• Evaluate and select AI, enrichment and automation tooling, run pilots and measure impact through time saved, accuracy gains and coverage
• Own the enrichment strategy and keep account firmographics accurate, including hierarchies, employee count, location, industry and Fortune ranking
• Act as subject matter expert for Business Ops, Marketing Ops, Customer Success and Finance, run a defined feedback intake process and support consistent reporting and dashboards
• Manage a portfolio of data quality and automation projects with clear priorities, owners and outcomes
• Partner with cross-functional teams to evaluate system changes that affect data programs
• Decide where AI agents and automation take over repetitive data work and where human judgment still matters
• Design processes, controls and intelligent workflows that keep GTM data accurate, enriched and trusted at scale
• Maintain data and enrichment tooling and workflows so Sales, Marketing, Customer Success and Finance can give executive leadership reliable metrics

What you'll need

• 5+ years in Sales Operations, Data Operations, or a similar analytical or systems role
• Hands-on experience building automation with AI or LLM tools (agents, prompt-driven workflows, AI-assisted enrichment), with shipped examples that can be shared
• Strong understanding of data lifecycle management, data modeling, master data management and requirements gathering
• Demonstrated understanding of Salesforce automation, including Flow and validation rules, and experience working closely with admins
• Experience implementing and managing data and enrichment tools, including AI-native tools such as Clay, Kernel, Starbridge and Onfire
• Proficiency in Excel
• Track record of leading data management projects from idea to result
• Sound judgment about where AI is reliable and where it needs 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
• Curious about AI and a daily user, able to distinguish a useful application from a demo
• Highly analytical, able to see the big picture and spot trends and gaps, then zoom in with practical recommendations
• Steady when juggling multiple priorities in a changing environment
• Eager to build and shape a data program rather than only maintain one, and able to create systems that hold up at global scale
• Data obsessed and focused on removing manual work by automating processes that rely on fixing records by hand

Nice to have

• Experience with workflow automation or integration platforms such as Workato or Zapier
• Experience with modern data stack tools such as Snowflake or dbt
• SQL
• Experience at a high-growth SaaS or security company

Benefits listed by Abnormal

• Comprehensive benefits package
• Possible bonus or incentive compensation
• Possible equity

Tools & skills mentioned