Motive

Compensation

Full Description

Description: • 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