Data Strategy Operations Manager

Abnormal Security

. Own the go-to-market data quality strategy and steward data across Salesforce and connected systems .

Posted 11/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $107,100 - $154,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data quality strategy, governance, and automation, with a strong focus on AI and LLM tools for enhancing data accuracy and compliance. Proven ability to manage data operations projects and communicate effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Sales Operations ExperienceData Lifecycle ManagementAI Automation ImplementationSalesforce Automation ProficiencyData Management Project Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingMaster Data ManagementRequirements GatheringData Quality MonitoringAutomation WorkflowsExcel ProficiencyAI-Assisted EnrichmentData ComplianceAnomaly ReviewAccount Enrichment Strategy

Soft Skills

Detail OrientedSelf-MotivatedProactiveStrong Communication SkillsQuick Learner

Tools & Technologies

SalesforceClayKernelStarbridgeOnfireWorkatoZapierSnowflakeDbtSQL

Industry Keywords

Data GovernanceData Quality StrategyAI ToolsSaaSSecurity Compliance

Tech Stack

Tools & technologies

SnowflakeSQL

About the role

Key responsibilities & impact

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

Requirements

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, 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

Benefits

Comp & perks

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