Motive

Manager, Sales Data Quality

Motive

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $100,000 - $119,000 per year

Job Level

SeniorLead

Tech Stack

AirflowCloudETLPythonSQLTableau

About the role

  • Lead, manage and influence a team of 4-5 within the "Sales Data Quality" team and own strategy, execution, and enablement for innovative data solutions and enrichment projects across multiple business segments and domains.
  • Develop and implement scalable, automated processes for validating complex business structures (e.g., CFS, corporate hierarchies, parent/child relationships).
  • Lead and manage the delivery of stakeholder project requests, including advanced data searches and account segmentation.
  • Architect and oversee data quality pipelines—including automated validation, anomaly detection, and proactive identification of gaps using Python, SQL, and AI/ML tools (e.g., LLM agents, Cortex AI).
  • Establish and maintain account and contact scoring frameworks to track data completeness and accuracy; publish dashboards and reports to enable business decisions.
  • Drive adoption of AI tools and develop internal agents for advanced data quality management and business enablement.
  • Mentor, coach, and develop cross-disciplinary team members; champion a culture of innovation, excellence, and continuous improvement.
  • Serve as the primary escalation point for complex data quality and enrichment issues; design frameworks, documentation, and training for scalable data stewardship.
  • Collaborate with data engineers, sales ops, and analysts to optimize data pipelines and business impact.
  • Translate complex data problems and insights into actionable business strategies and operational improvements.

Requirements

  • 2+ years of people management experience within "Sales Data Quality/Sales Ops"
  • 7+ years of relevant sales data quality experience at a high growth SaaS
  • Deep expertise in SQL, Python, and modern AI/ML techniques for data enrichment, validation, anomaly detection, and automated agent development.
  • Proven success architecting and scaling innovative, automated data quality solutions for large, cross-functional teams.
  • Track record of leadership in data analytics, business enablement, and cross-functional collaboration.
  • Strong experience with cloud-based data platforms (e.g., Snowflake), ETL/ELT tools (Fivetran, Airflow), and data modeling for complex business environments.
  • Knowledge and experience in building, deploying, and managing AI agents and their application to business data problems.
  • Familiarity with CRM systems (e.g., Salesforce), dashboard/reporting tools (e.g., Tableau), and collaborative documentation platforms (e.g., Seismic, Confluence).
  • Exceptional communication skills: able to explain complex technical issues to non-technical stakeholders and drive adoption.
  • Demonstrated business impact and process improvement via advanced analytics and data quality initiatives. Experience with LLMs or generative AI in data QA is a plus.
  • Strong project management, mentoring, and stakeholder engagement abilities.
Benefits
  • Health insurance
  • Pharmacy benefits
  • Optical care
  • Dental care
  • Paid time off
  • Sick time off
  • Short term disability coverage
  • Long term disability coverage
  • Life insurance
  • 401k contribution

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonAI/ML techniquesdata enrichmentdata validationanomaly detectionautomated agent developmentdata modelingETL toolsdata quality solutions
Soft skills
people managementleadershipcross-functional collaborationcommunication skillsmentoringproject managementstakeholder engagementinnovationcontinuous improvementbusiness enablement
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