Manager, Sales Data Quality – AI
Motive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$98,000 - CA$121,000 per year
Job Level
Mid-LevelSenior
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
- 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.
Benefits
- health insurance
- pharmacy benefits
- optical and dental care benefits
- paid time off
- sick time off
- short term and 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 collaborationcommunicationmentoringproject managementstakeholder engagementinnovationcontinuous improvementbusiness enablement