VP / AVP AV/ADAS Delivery

As a VP/AVP AV/ADAS Delivery at iMerit, you will be leading the delivery organization supporting autonomous vehicle and ADAS clients. Your role will involve ensuring delivery excellence across a portfolio of enterprise clients by maintaining consistent quality, scalability, and efficiency of operations. Here is a breakdown of your key responsibilities: - **Delivery Leadership & Client Management:** - Own delivery for a portfolio of enterprise clients in AV/ADAS programs. - Drive robust delivery governance including QBRs, client health reviews, RCA/CPA, and CSAT improvement plans. - Establish SLA frameworks and ensure adherence across clusters. - Act as a strategic escalation point and lead issue resolution. - **Multi-Account Oversight:** - Supervise concurrent delivery across 36 large enterprise accounts. - Ensure optimization of resource allocation, schedule adherence, productivity, and profitability across all accounts. - Maintain a balance between portfolio-wide visibility and periodic account-level immersion. - **Operational Excellence:** - Define and drive KPIs for quality, turnaround time, throughput, and cost of delivery. - Collaborate with WFM, L&D, Tech, and QA for integrated delivery planning and optimization. - Cultivate a culture of continuous improvement, automation, and reuse of delivery accelerators. - **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, enable succession planning, and career progression. - Align team structure with business demand cycles and client commitments. - **Solutioning and Innovation Enablement:** - Work with Solutions and Pre-sales teams on client RFPs, PoCs, and pilots. - Stay updated on trends in multi-sensor data annotation, synthetic data, and ML-assisted labeling. - Drive pilot-to-production transitions and institutionalize best practices. In terms of qualifications, the key requirements for this role include: - 15+ years in AI/ML Data Services/Digital Operations, with 5+ years in AV/ADAS delivery. - Previous experience managing multiple concurrent enterprise accounts. - Deep understanding of annotation workflows, tools, and quality frameworks. - Proven experience in managing large-scale teams with a cluster or business unit structure. - Strong client-facing presence with stakeholder management experience. Additionally, exposure to Generative AI applications in AV/ADAS, experience with automation-led delivery transformation, and familiarity with security standards like ISO27001 and SOC2 would be advantageous. Your success in this role will be measured by metrics such as Client Satisfaction (CSAT > 95%), Delivery Quality (Accuracy %, Rework %, SLA Adherence), Financial Metrics (Utilization %, Margin %, Revenue per FTE), People Metrics (Attrition %, Internal Mobility %, Bench %), and Operational Efficiency (Automation %, Productivity Index).,