Head - Platform & Analytics

Description :

Role Outcomes :

- Launch scalable fleet management platform (Pilot ? General Availability within 12 months).

- Deliver customer deployments demonstrating measurable productivity improvement (2030% uplift).

- Achieve SaaS/Analytics revenue contribution ?15% of MR Business Unit revenue within 24 months.

Key Responsibilities :

- Lead architecture, design, and rollout of the company Fleet & Enterprise Platform supporting multi-robot and multi-site deployments.

- Define and own the data architecture enabling telemetry ingestion, storage, visualization, and actionable analytics.

- Collaborate with Product, Robotics, and Cloud teams to ensure seamless integration of robot, edge, and enterprise data pipelines.

- Drive productization of analytics features (dashboards, predictive maintenance, utilization insights, energy optimization, etc.).

- Oversee SaaS platform security, scalability, and performance compliance with enterprise standards.

- Establish CI/CD frameworks for continuous feature enhancement and system reliability.

- Develop pricing, licensing, and go-to-market strategy for analytics and SaaS offerings in coordination with business teams.

- Implement monitoring and reporting mechanisms to measure customer ROI and platform adoption metrics.

- Lead a cross-functional team of cloud, data, and software engineers to deliver robust, production-grade enterprise software solutions.

- Stay ahead of emerging technologies in fleet management, cloud analytics, and AI-driven operations.

Key Interfaces :

Internal :

- Robotics Software, Cloud Infrastructure, Product Management, Data Science, Business Development, and Customer Success teams.

External :

- SaaS/Cloud Platform Partners, Enterprise Clients, and Research Collaborators.

Required Skills & Experience :

- 12 to 15 years of experience in enterprise software or analytics platform development with 8+ years in leadership roles.

- Strong understanding of cloud architecture (AWS/Azure/GCP), data pipelines, and distributed systems.

- Experience with IoT/Telemetry data, microservices, and large-scale analytics solutions.

- Proficiency in Python, SQL, and data visualization tools (Grafana, Power BI, or similar).

- Track record of launching and scaling SaaS or enterprise analytics platforms.

- Knowledge of mobile robotics ecosystem, fleet management, and API-based integrations preferred.

- Proven ability to manage cross-functional engineering teams and deliver against aggressive timelines.

- Strong commercial and product mindset to align technical delivery with business outcomes.

Educational Qualification :

- B.Tech / M.Tech / MBA in Computer Science, Data Engineering, or related technical discipline.