Data Strategy Operations Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the go-to-market data quality strategy and manage data across Salesforce and its interconnected systems.

• Develop processes, controls, and intelligent workflows to ensure data remains accurate, enriched, and reliable at scale.

• Define the data governance strategy, establish standards, ownership models, and maintain a source-of-truth hierarchy.

• Create policies, access controls, field-level definitions, record creation and deprecation rules, and oversee compliance.

• Ensure data compliance and security while identifying risks to IT, security teams, and leadership.

• Automate manual data tasks such as deduplication, enrichment, account matching, hierarchy mapping, routing, and anomaly reviews through AI-assisted workflows.

• Design and sustain AI agents and LLM-driven workflows featuring guardrails, human review points, and accuracy assessments.

• Develop automated data quality monitoring and issue resolution workflows.

• Assess AI, enrichment, and automation tools, conduct pilot programs, and track time savings, accuracy improvements, and coverage.

• Manage the account enrichment strategy, focusing on hierarchies, employee counts, locations, industries, and Fortune rankings.

• Act as a subject matter expert for Business Operations, Marketing Operations, Customer Success, and Finance.

• Oversee feedback collection, support consistent reporting and dashboards, and manage data quality and automation projects.

⛳️ Requirements

• 5+ years of experience in Sales Operations, Data Operations, or a comparable analytical or systems role.

• Practical experience in building automation using AI or LLM tools, including agents, prompt-driven workflows, or AI-assisted enrichment, with demonstrable examples.

• Strong grasp of data lifecycle management, data modeling, master data management, and requirements gathering.

• Knowledge of Salesforce automation, including Flow and validation rules, with a collaborative experience alongside administrators.

• Experience in implementing and overseeing data and enrichment tools, such as Clay, Kernel, Starbridge, and Onfire.

• Proficient in Excel.

• Proven ability to lead data management projects from conception to successful execution.

• Sound judgment regarding AI reliability and controls for privacy, security, and accuracy.

• Detail-oriented, self-motivated, proactive, and quick to master new tools.

• Excellent written and verbal communication skills, capable of conveying technical and AI concepts to non-technical stakeholders.

• Preferred: experience with Workato or Zapier, Snowflake or dbt, SQL, and a background in a high-growth SaaS or security company.

🏝️ Benefits

• Bonus or incentive compensation may be available.

• Equity opportunities may be offered.

• Comprehensive benefits package provided.

• Pre-employment checks conducted in accordance with security and privacy standards.