Manager, Operations (Machine Learning, Autonomous Vehicles & ADAS)
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Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Lead the Future of AI Autonomous Systems and High-Performance Data Delivery
Digital Divide Data (DDD) is a global leader in powering Machine Learning and Autonomous Systems with high-quality large-scale data. We are seeking an Operations Manager (ML AV & ADAS) who will own delivery excellence elevate operational performance and drive client success across cutting-edge AI programs.
If you excel at orchestrating teams managing complex workflows solving operational challenges and communicating confidently with clients this role is your runway to impact the future of autonomous intelligence.
Your Mission What Youll Lead
Client Relationship & Communication Excellence
- Build trusted relationships with ML AV and ADAS clients to ensure seamless service delivery.
- Understand and articulate project scope deliverables timelines and ownership.
- Serve as the primary liaison for all client requests updates and issue resolution.
- Track manage and close client requests with clarity urgency and professionalism.
- Ensure workflows and outputs fully align with client expectations and technical guidelines.
Operational Delivery Ownership
- Oversee day-to-day execution of annotation QA audits and reporting activities.
- Translate technical guidelines into clear actionable workflows for delivery teams.
- Monitor team adherence to SLAs/KPIs: accuracy throughput productivity and latency.
- Lead real-time issue resolution and ensure teams maintain context and operational readiness.
- Maintain strict version control of instructions guidelines and workflow updates.
Performance Tracking & Continuous Improvement
- Track performance trends across ML/AV/ADAS datasets using scorecards and dashboards.
- Diagnose quality or productivity gaps and implement root-cause fixes.
- Partner with QA and Training teams to refine workflows conduct refreshers and clarify instructions.
- Lead performance reporting to clients highlighting insights actions and operational improvements.
Team Leadership & Talent Development
- Mentor and develop teams handling AI CV 3D or LiDAR datasets.
- Build a culture of feedback technical excellence and continuous learning.
- Support team decision-making on ambiguous complex or escalated annotation scenarios.
- Advise on capacity planning calibration cycles and training needs.
Risk Management & Issue Mitigation
- Identify risks related to workflow complexity guideline ambiguity tooling inefficiencies or data quality concerns.
- Develop mitigation strategies to ensure delivery continuity and client satisfaction.
- Support Business Continuity Plans (BCP) and drive readiness for activation.
- Escalate advanced risks to senior leaders and product teams for resolution.
Qualifications :
What Youll Bring
Education & Experience
- Bachelors degree in Data/AI Computer Science Engineering Information Systems or related fields.
- A minimum of 2.5 years of experience in AI/ML operations project management or technical workflow coordination.
- Hands-on exposure to annotation workflows: 2D/3D CV LiDAR ADAS or AV datasets.
- Strong track record managing projects in KPI-driven environments.
- Must have worked in a BPO
Additional Information :
- Familiarity with annotation tools such as CVAT SuperAnnotate and Labelbox.
- Understanding of ML metrics data quality principles and AV/ADAS ecosystems.
Remote Work :
No
Employment Type :
Contract
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Digital Divide Data (DDD) is a US-based , mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies ... View more
