Data Architect for High-Quality Operations
3 days ago
Senior Architect for Mobility Data OperationsThis role is responsible for designing the architecture of iMerit's Mobility DataOps ecosystem.The Solutions Architect plays a critical part in turning complex client requirements into clear and scalable workflows that power high-quality annotation, training, and delivery operations.You are responsible for mapping how data moves, how tools should be configured, and how teams will execute. You transform ambiguity into executable workflows that Training Managers, Delivery Leads, and cross-functional partners can operationalize with confidence.Main Responsibilities:Translate client requirements and technical specifications into detailed workflows, schemas, annotation guidelines, and tool configurations.Partner with Training Managers and Delivery Managers to ensure project setup aligns with human performance realities, throughput expectations, and scalable training models.Validate tools, data pipelines, and configuration logic pre-launch to eliminate blockers and ensure operational readiness.Create clear and comprehensive documentation, workflow maps, SOPs, and technical enablement materials.Monitor workflow performance, identify gaps, and propose continuous improvements to optimize quality, efficiency, and scalability.Closely collaborate with the Sr. Manager of DataOps and Enablement on strategic scaling, new system design, and ecosystem innovation.Requirements:3–5 years of experience in Data Operations, Solutions Architecture, Technical Program Management, or similar technical/operational roles.Experience with data annotation, ML/AV workflows, or complex multi-step operational processes.Ability to translate technical requirements into structured, scalable operational workflows.Excellent documentation, workflow design, and system-mapping skills.Proven experience collaborating with cross-functional teams (Product, Engineering, QA, Training, Delivery).Strong problem-solving skills with the ability to anticipate blockers and define preventive solutions.Preferred Qualifications:Experience in autonomous vehicles, perception systems, Triage, LiDAR/camera data, or related ML data pipelines.Familiarity with annotation tools, schema creation, ontology design, or pipeline validation.Ability to interpret operational analytics (throughput, TPT, FPA, QC/Audit layers, error categories, workforce distribution).Experience improving workflows or systems at scale across global operations.Strong systems-thinking mindset with a focus on clarity, efficiency, and operational quality.Success Metrics:Workflows launch smoothly with minimal defects, misalignment, or technical blockers.Training and Delivery teams clearly understand project requirements, schemas, and tool behaviors.Tool configurations and pipelines match client expectations and scale effectively.You proactively identify workflow gaps, propose solutions, and drive continuous improvement.Weekly performance improves due to clearer, more efficient workflow design and documentation.You help shape the Mobility DataOps ecosystem into a more streamlined, predictable, and scalable system.Role Essence:You design the system before the work begins.You ensure clarity where ambiguity exists.You architect the workflows that power high-quality operations.
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