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.