Manager, Sales Data Quality (AI)

This role offers a unique opportunity to shape the future of data quality at Motive, building industry-leading solutions grounded in AI, advanced automation, and cross-functional innovation. The Innovation & Special Programs Manager will architect, launch, and manage innovative solutions to data challenges at Motive. This leader will design scalable processes to confirm critical data attributes (such as CFS), identify corporate hierarchies, and manage data project requests from internal stakeholders—including advanced searches and segmentation within our database. You will manage a team focused on proactively surfacing and resolving issues of missing or inaccurate data across accounts and contacts, continually score data based on completeness and accuracy, and serve as internal pioneers in the adoption and application of AI on the Data Quality team, including agent development. This role is US-based and will collaborate across Sales, Sales Operations, Marketing, Engineering, and other business units.

• 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.

• People management experience within "Sales Data Quality/Sales Ops" 
• 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.