Description

Job Description

Must-Have Technical / Functional Skills

• Strong experience leading large, complex, cross-functional technical programs involving multiple teams and parallel

workstreams.

• Working knowledge of Python, SQL, R, Power BI, or equivalent tools.

• Experience working with Databricks and similar data platforms.

• Fluency with GenAI tools, copilots, prompt engineering, and AI-assisted workflows.

• Demonstrated industry experience across AI/ML, robotics, manufacturing technology, technical program management,

product management, consulting, or digital transformation, with experience leading complex cross-functional initiatives.

• Experience with modern project and delivery tools such as Jira.

• Exposure to low-code/no-code platforms such as Power Apps or AppSheet.

• Knowledge of ROS/ROS 2, NVIDIA Omniverse, Isaac Sim, simulation platforms, digital twins, synthetic data, or sim-to-real

workflows.

Roles & Responsibilities

• Client strategy and advisory: Engage client executives, engineering leaders, and plant operations to define Robotics AI

strategies and transformation priorities.

• Lead discovery workshops, translate operational challenges into use cases, and create roadmaps from experimentation

through enterprise deployment.

• Program-manage multi-team AI and robotics initiatives, establishing clear milestones, ownership, dependencies, risks, and

success metrics.

• Collaborate across AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, Data Engineering, and

AI Product Management.

• Analyze program and operational data using SQL, Python, or R.

• Develop dashboards using tools such as Power BI or Looker to monitor program KPIs, model/system performance, factory

deployment health, and operating metrics.

• Work with platform and data engineering teams using Databricks and related data infrastructure.

• Design and orchestrate GenAI workflows and AI agents to automate appropriate analysis, reporting, and operational

activities.

• Ensure data collection, labeling, evaluation, and deployment workstreams remain aligned with program objectives.

• Proactively identify program risks, remove blockers, communicate decisions, and maintain stakeholder alignment.

Generic Managerial Skills

• Large cross-functional program leadership

• Stakeholder management and influence

• Executive communication and storytelling

• Program planning and roadmap management

• Risk and dependency management

Key Skills

Education

Any Graduate