Onsite Lead Program Management & Digital Engineering at San Diego, CA

Job Description Onsite Lead (Program Management & Digital Engineering)

Location:

Experience: 12 15 Years

Must Have : Strong background working with Aerospace clients (MRO, engineering workflows, or operations).

1. Position Overview

We are seeking an experienced Onsite Lead / Program Management & Digital Engineering Specialist to be based at our client's location San Diego, CA / Hybrid. The role requires strong client-facing experience, end-to-end coordination with customer stakeholders, and the ability to translate business requirements into actionable tasks for offshore engineering and development teams.

The candidate will support a strategic Aerospace MRO program focused on building an advanced MRO Work Order Scheduling solution using Generative AI, Operations Research algorithms, and modern cloud & data engineering technologies. The role requires strong understanding of project/program management, cross-functional collaboration, and engineering domain awareness.

2. Key Responsibilities

Client & Stakeholder Management

• Serve as the primary onsite point of contact for all client interactions.
• Engage with business, engineering, and IT stakeholders to understand goals, timelines, dependencies, and constraints.
• Manage expectations, clarify open points, and ensure consistent communication across teams.

Program & Project Management

• Drive project planning, tracking, and reporting in alignment with PMI knowledge areas (Scope, Time, Cost, Quality, Risk, Communication, and Stakeholder Management).
• Coordinate with offshore teams for timely delivery, issue resolution, and status reporting.
• Facilitate requirement workshops, sprint planning, risk assessments, and milestone reviews.
• Ensure alignment with the client's governance processes, compliance requirements, and quality standards.

Technical Coordination

• Understand and translate client requirements related to:
  • MRO processes and work order management
  • Generative AI-based scheduling solutions
  • Operations Research algorithms such as Critical Path Method (CPM), Critical Chain Method (CCM), heuristic scheduling, and optimization approaches
• Collaborate with technical teams in Data Science, Data Engineering, Cloud Engineering, and Software Engineering.
• Review functional and technical deliverables to ensure business alignment.

Requirements Management

• Capture, document, and validate functional and non-functional requirements.
• Convert high-level problem statements into well-structured requirements and user stories.
• Proactively identify gaps, dependencies, constraints, and integration points.

Delivery Oversight

• Monitor progress across all workstreams and ensure smooth interaction between onsite and offshore teams.
• Track deliverables, quality KPIs, and timelines and escalate risks or issues appropriately.
• Support UAT planning, execution, and feedback integration.

3. Mandatory Skills & Qualifications

Experience

• 12 15 years of total professional experience in Project/Program Management, Digital Engineering, or IT Services.
• At least 5+ years in client-facing onsite roles, preferably in the USA.
• Strong background working with Aerospace clients (MRO, engineering workflows, or operations).

Technical Knowledge

• Working knowledge of:
  • Data Science concepts (predictive models, optimization, ML workflows)
  • Data Engineering (ETL pipelines, data models, SQL, cloud data platforms)
  • Cloud platforms (Azure/AWS/Google Cloud Platform fundamentals)
  • Software Engineering basics

AI & Optimization Awareness

• Exposure to:
  • Generative AI solutions
  • Operations Research methods (CPM, CCM, heuristics, optimization models)
  • Scheduling or planning systems

Project/Program Management

• Strong understanding of PMI frameworks, artifacts, and governance.
• Experience in managing multi-location delivery teams.
• Excellent communication, presentation, and stakeholder management skills.

4. Nice-to-Have Skills

• PMI certifications: PMP / PgMP / PMI-ACP
• Understanding of aviation standards or MRO-specific workflows
• Exposure to MCP (Model Context Protocol), AI agent-based systems, or analytics platforms
• Experience working in engineering service environments similar to Cyient, Tata Elxsi, LTTS, Infosys Engineering, etc.
• Familiarity with scheduling tools and enterprise workflow systems
• Ability to build BRDs, FRDs, and solution documentation

5. Behavioral Competencies

• Strong executive presence and ability to engage senior stakeholders.
• Proactive, self-driven, and capable of working with minimal supervision.
• Excellent problem-solving and analytical thinking skills.
• High accountability with a collaborative approach across teams.

6. Education

• Bachelor's degree in Engineering, Computer Science, or related field (Master's preferred).
• Certifications in project management or cloud technologies are an advantage.