Delivery Head- Geospatial & HD Mapping

Tech Mahindra; Hyderabad; On-site; INR 5,000,000 - 9,000,000; Full time

Job summary

Tech Mahindra is seeking a Delivery Head for Managed Services in HD Mapping Operations. You will own end-to-end delivery, leading large, multi-site teams to ensure on-time, on-quality performance for ADAS/Autonomous Driving programs.

The role requires 20+ years in operations, with expertise in geospatial/data operations, quality frameworks, and P&L ownership. Strong stakeholder management and automation focus are essential for success.

Qualifications

• 20+ years in operations / delivery leadership within managed services.
• Experience managing large-scale, multi-site delivery teams.
• Strong exposure to geospatial, mapping, annotation, or data operations.
• Proven track record in quality-driven, metrics-heavy environments.
• Experience owning client relationships and executive governance.
• Strong financial acumen with P&L ownership.

Responsibilities

• Own end-to-end delivery of HD map production programs.
• Lead large-scale global teams across multiple locations.
• Ensure SLAs, quality targets, and throughput commitments are met.
• Establish robust quality frameworks and drive root-cause fixes.
• Act as primary delivery leader for strategic clients and governance.
• Drive productivity via automation and AI-enabled workflows.
• Own delivery P&L, cost management, and margin improvement.
• Develop leadership across Ops, Quality, and Tech Ops.

Skills

Operations leadership

Large-scale delivery

Geospatial domain

Quality-driven delivery

Executive governance

P&L ownership

Automation & transformation

Job description

Job Title: Delivery Head Managed Services (BPO), HD Mapping Operations

Experience: 20+ years (with 5+ years leading large-scale managed services delivery)

Role Summary

The Delivery Head will be responsible for end-to-end delivery of HD Mapping managed services supporting ADAS and Autonomous Driving programs. This role owns operations, quality, cost, scale, and client satisfaction across large, multi-site teams delivering complex geospatial and annotation workflows.

The role requires a strong blend of operations leadership, HD map domain understanding, quality rigor, and automation-driven productivity.

Key Responsibilities

1. End-to-End Delivery Ownership

• Own delivery of HD map production programs.
• Lead large-scale global teams (hundreds to thousands of FTEs) across multiple locations.
• Ensure consistent achievement of SLAs, quality targets, and throughput commitments.
• Drive predictable delivery in long-running, high-volume production programs.

2. Quality & Risk Management

• Establish and enforce robust quality frameworks, including:
• Defect taxonomy
• Quality gates
• Calibration and golden data
• Drive root-cause analysis and systemic fixes for recurring defects.
• Manage safety-critical quality standards aligned to ADAS/AV use cases.
• Own audit readiness, compliance, and data security governance.

3. Client & Stakeholder Management

• Act as the primary delivery leader for strategic clients.
• Lead executive reviews, QBRs, and roadmap discussions.
• Proactively manage changing specifications, scope evolution, and ambiguity.
• Partner with clients to balance speed, cost, and quality trade-offs.
• Support renewals, expansions, and change requests with strong data-backed narratives.

4. Productivity, Automation & Transformation

• Drive continuous productivity improvement through:
  • Automation
  • Human-in-the-loop AI
  • Smart sampling and auto-QA
• Partner with technology and tooling teams to scale automation in production.
• Define and track productivity metrics at task, cohort, and site levels.
• Reduce manual dependency and rework through process and tool optimization.

5. Financial & Commercial Ownership

• Own delivery P&L, cost management, and margin improvement.
• Understand and manage unit economics (e.g., cost per km, cost per feature).
• Model financial impact of spec changes, quality thresholds, and automation investments.
• Support commercial negotiations with delivery feasibility and cost models.

6. Talent & Leadership Development

• Build strong multi-layer leadership teams (Ops, Quality, Tech Ops).
• Develop specialist capability tracks for complex mapping scenarios.
• Drive engagement, retention, and skill progression in high-precision roles.
• Create a culture of accountability, precision, and continuous improvement.

7. Change & Scale Management

• Lead large-scale transitions including:
  • New tools and platforms
  • New schemas and specifications
  • New geographies or delivery models
• Manage scale-up and scale-down scenarios without compromising quality.
• Anticipate and mitigate operational risks and single points of failure.

Required Qualifications & Experience

Must-Have

• 20+ years in operations / delivery leadership in managed services.
• Experience managing large-scale, multi-site delivery teams.
• Strong exposure to geospatial, mapping, annotation, or data operations.
• Proven track record in quality-driven, metrics-heavy delivery environments.
• Experience owning client relationships and executive-level governance.
• Strong financial acumen with P&L ownership.

Nice-to-Have

• Experience supporting ADAS / Autonomous Vehicle programs.
• Familiarity with HD map concepts: LiDAR, point clouds, lane models, topology.
• Experience driving automation in human-in-the-loop workflows.

Key Competencies

• Operational excellence & scale leadership
• Quality-first, safety-critical mindset
• Client trust and executive communication
• Automation and transformation orientation
• Data-driven decision making
• Change leadership under ambiguity

Success Metrics

• SLA and quality compliance
• Cost and margin performance
• Productivity improvement
• Client satisfaction and renewals
• Team stability and leadership bench strength