AI Solutions Manager

ABOUT THE COMPANY

Digital Divide Data (DDD) delivers end-to-end ML Data Operations and Training Data Solutions for Large Language Models (LLMs) and Computer Vision systems. Trusted by Fortune 500 enterprises and global innovators in Physical AI, Gen AI, and Data Services, we combine human expertise with advanced workflows to ensure model safety, precision, and performance.

JOB SUMMARY

About the Company Digital Divide Data (DDD) delivers end-to-end ML Data Operations and Training Data Solutions for Large Language Models (LLMs) and Computer Vision systems. Trusted by Fortune 500 enterprises and global innovators in Physical AI, Gen AI, and Data Services, they combine human expertise with advanced workflows to ensure model safety, precision, and performance.About the RoleThe AI Solutions Manager supports the design and delivery of AI/ML, Computer Vision, and Autonomous Systems data programs. The role focuses on solutioning, workflow design support, client communication, and performance management for assigned programs.This position serves as a technical and operational liaison between clients and internal delivery teams, ensuring quality, efficiency, and continuous improvement.

RESPONSIBILITIES

Client Partnership & Applied Solutioning Support client discovery sessions to understand dataset needs, workflow rules, and ML goals.Translate client requirements into operational workflows, guidelines, and quality frameworks.Provide clients with delivery updates, performance insights, and workflow recommendations.Participate in solution scoping discussions Identify operational improvements or small-scale expansion opportunities within current programs.Program Delivery Management Oversee day-to-day execution of assigned AI/ML/CV/AV/ADAS workflows.Ensure SLAs/KPIs for accuracy, throughput, quality, and timelines are met.Manage onboarding, calibrations, updates to guidelines and workflow transitions.Work with Delivery Leads to ensure staffing, training support, and production readiness.Maintain documentation and workflow consistency across teams.Performance Analytics, Quality Management & Root-Cause InsightsBuild dashboards and reports to track accuracy, IAA, error trends, productivity, and latency.Conduct RCA for quality issues and collaborate with QA & Training to implement fixes.Provide actionable insights that improve data output and overall model inputs.Communicate analytics to clients and internal technical stakeholders.Cross-Functional Collaboration Support pilot setup, workflow testing, and guideline refinement.Ensure teams follow updated instructions, schemas, and ontology changesContinuous Improvement & Innovation Recommend workflow optimizations based on data trends and team feedback.Promote automation opportunities such as pre-labeling, AI-assisted tools, and QC automation.Improve sampling methods, audit frameworks, and annotation consistency.Commercial & Pre-Sales Support Provide technical inputs for proposals, pricing models, and SOW components.Participate in RFI/RFP responses by providing workflow or technical details.Support Business Development with demos and clarifications during client evaluations.AI/ML Workflow KnowledgeStrong understanding of annotation workflows for 2D/3D CV, NLP, LiDAR/RADAR, AV/ADAS datasets.Understanding of how data quality impacts ML model performance.Tools & Workflow DesignExperience with platforms like Label box, Super Annotate, Scale, CVAT.Ability to create guidelines, workflows, taxonomies, and quality processes.Data & AnalyticsStrong Excel skills; SQL/Python familiarity preferred.Experience with PowerBI/Tableau/Looker for reporting.Ability to interpret ML metrics and connect them to data quality outputs.Client & Team LeadershipStrong communication, technical storytelling, and stakeholder management abilities.Experience managing escalations and coaching delivery teams.QualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, Data/AI, or related field.5 years of hands on experience in AI/ML operations, technical solutioning, or program delivery.Experience with annotation workflows, AV/ADAS, robotics, or computer vision preferred.Experience working within KPI-driven technical environments.

REQUIRED SKILLS

Project management, Machine Learning (ML), Quality management, Big data and data analytics, Project implementation, Stakeholder communication, Artificial intelligence (AI), Team leadership, Reporting, Data analysis

REQUIRED EDUCATION

Bachelor's degree