VP / AVP – AV/ADAS Delivery

VP / AVP – AV/ADAS Delivery

Location: Kolkata | Reports To: Chief Delivery Officer

Type: Full-Time | Experience: 15+ Years in AI/ML/Data Services (5+ Years in AV/ADAS)

About iMerit

iMerit is a leading AI data solutions company specializing in providing high-quality data for machine learning and AI applications. iMerit provides data annotation services, which involve labeling and enriching data to train and improve AI models. We also offer model evaluation capabilities and advanced annotation platforms to refine model outputs. iMerit's Ango Hub is a technology platform that streamlines machine learning data pipelines, offering automation, annotation tools, and analytics. It integrates pre-labeling and auto-labeling for ML-assisted annotations and validation, supporting multiple annotation types and automation features. iMerit's solutions are used across various industries, including autonomous vehicles, healthcare, banking, retail, and more

Role Summary:

We are seeking a dynamic and experienced VP/AVP – AV/ADAS Delivery to lead our delivery organization supporting autonomous vehicle and ADAS clients. This leader will be responsible for driving delivery excellence across a portfolio of enterprise clients, ensuring consistent quality, scalability, and efficiency of operations. The role demands strong cross-functional leadership, multi-client governance, and domain familiarity with AV/ADAS data services including annotation, model validation, and automation.

Key Responsibilities:

1. Delivery Leadership & Client Management

• Own delivery for a portfolio of enterprise clients across AV/ADAS programs.
• Set up and drive robust delivery governance including QBRs, client health reviews, RCA/CPA, and CSAT improvement plans.
• Establish SLA frameworks and ensure adherence across clusters.
• Serve as a strategic escalation point and own issue resolution.

2. Multi-Account Oversight

• Oversee concurrent delivery across 3–6 large enterprise accounts.
• Ensure resource allocation, schedule adherence, productivity, and profitability are optimized across all accounts.
• Balance breadth (portfolio-wide visibility) with depth (periodic account-level immersion).

3. Operational Excellence

• Define and drive KPIs for quality, turnaround time, throughput, and cost of delivery.
• Partner with WFM, L&D, Tech, and QA for integrated delivery planning and optimization.
• Foster a culture of continuous improvement, automation, and reuse of delivery accelerators.

4. Team Leadership & Talent Development

• Lead a matrixed team of 300–800 labelers, reviewers, specialists, and managers through Cluster/Sub-cluster heads.
• Identify high-potential leaders and enable succession planning and career progression.
• Align team structure to business demand cycles and client commitments.

5. Solutioning and Innovation Enablement

• Collaborate with Solutions and Pre-sales teams on client RFPs, PoCs, and pilots.
• Stay current on trends in multi-sensor data annotation, synthetic data, and ML-assisted labeling.
• Drive pilot-to-production transitions and institutionalize best practices.

Key Requirements:

Must Have:

• 15+ years in AI/ML Data Services / Digital Operations, with 5+ years in AV/ADAS delivery.
• Proven experience in handling multiple concurrent enterprise accounts.
• Deep understanding of annotation workflows, tools, and quality frameworks (e.g., for LiDAR, video, sensor fusion).
• Prior experience managing large-scale teams (500+) with cluster or business unit structure.
• Strong client-facing presence with experience in stakeholder management, executive reviews, and QBRs.

Nice to Have:

• Exposure to Generative AI applications in AV/ADAS (e.g., synthetic data validation, prompt-based model QA).
• Experience with automation-led delivery transformation (e.g., scriptable QA, predictive QA, semi-auto labeling).
• Familiarity with ISO27001, SOC2, or similar security standards.

Key Competencies:

• Strategic Thinking & Execution
• Delivery Governance & SLA Management
• Cross-functional Collaboration
• Data-Driven Decision Making
• People Leadership & Influence
• Client Relationship Management
• Domain Adaptability (Mobility/ADAS/AV)

KPIs & Success Metrics:

• Client Satisfaction (CSAT > 95%)
• Delivery Quality (Accuracy %, Rework %, SLA Adherence)
• Financial Metrics (Utilization %, Margin %, Revenue per FTE)
• People Metrics (Attrition %, Internal Mobility %, Bench %)
• Operational Efficiency (Automation %, Productivity Index)