AI Solutions Manager at Digital Divide Data

• Client Partnership & Applied Solution Design
  • Lead discovery sessions to understand client datasets, workflows, and ML objectives.
  • Translate technical requirements into structured workflows, annotation guidelines, and quality frameworks.
  • Provide clients with performance insights, delivery updates, and workflow recommendations.
  • Identify opportunities to optimize or expand ongoing programs.
• Program Delivery Leadership
  • Oversee daily execution of AI/ML/CV/AV/ADAS workflows to meet accuracy, throughput, and timeline SLAs.
  • Guide onboarding, calibrations, workflow transitions, and guideline updates.
  • Partner with Delivery Leads on staffing, training, and production readiness.
  • Maintain documentation and ensure alignment across teams.
• Analytics, Quality & Root-Cause Insights
  • Build dashboards and reports tracking accuracy, IAA, errors, productivity, and latency.
  • Lead root-cause analyses and collaborate with QA/Training teams to drive improvements.
  • Provide actionable insights that improve model training data and system performance.
  • Communicate analytics to clients and internal technical teams.
• Innovation & Continuous Improvement
  • Recommend process optimizations using data trends and team feedback.
  • Promote adoption of automation tools: pre-labeling, AI-assisted annotation, QC automation.
  • Improve sampling, auditing, and annotation consistency frameworks.
• Commercial & Pre-Sales Support
  • Provide technical inputs for proposals, pricing, and Statements of Work (SOWs).
  • Support RFI/RFP submissions with workflow and technical expertise.
  • Participate in demos and client evaluations alongside Business Development.

Who We’re Looking For

Technical Expertise

• Strong understanding of annotation workflows for 2D/3D CV, NLP, LiDAR/RADAR, AV/ADAS datasets.
• Proficiency with tools like Labelbox, SuperAnnotate, Scale AI, CVAT.
• Experience designing workflows, taxonomies, guidelines, and quality processes.
• Solid analytics skills: Excel mastery; SQL/Python familiarity; experience with PowerBI/Tableau/Looker.

Leadership & Client Management

• Excellent communication, technical storytelling, and stakeholder management.
• Experience managing escalations, coaching teams, and leading in KPI-driven environments.

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Data/AI, or related fields.
• 5+ years in AI/ML operations, technical solutioning, or program delivery.
• Experience with annotation workflows, robotics, AV/ADAS, or computer vision is a plus.