Role Purpose 

The Senior/Lead Project Engineer provides advanced engineering leadership for the Connected Worker & Autonomous Operations portfolio. The role focuses on solving complex operational challenges by delivering real-time insights, digital workflows, and connected technologies that improve safety, productivity, and decision-making for Operations & Maintenance (O&M) and engineering teams. 

This role leads early-stage innovation through problem definition, solution scoping, business value estimation, and technology maturation, transitioning validated pilots to Technology Deployment Engineers for large-scale, multi-site production deployments. 

Key Responsibilities 

Technical & Innovation Leadership 

• Solve complex technical and operational problems by integrating:  

• Connected Worker platforms 

• IIoT and edge technologies 

• Digital Twin and Digital Core capabilities 

• OT and IT platforms 

• Partner closely with Digital Twin, Digital Core, IIoT, OT, IT Platforms, external vendors, and business stakeholders. 

• Lead R&D initiatives from concept through pilot execution. 

• Define technical architectures, integration patterns, and non-functional requirements (scalability, availability, cybersecurity). 

• Mature technologies through proof of concept and pilot stages. 

Project & Program Management  

• Act as technical project manager / delivery lead for complex digital and IIoT initiatives, owning scope, schedule, cost, and quality. 

• Develop and manage integrated project plans, milestones, dependencies, and risk registers for multi-stream work programs. 

• Coordinate cross-functional teams including engineering, IT, OT, cybersecurity, operations, vendors, and system integrators. 

• Drive governance routines such as design reviews, steering updates, risk escalations, and decision tracking. 

• Manage vendor delivery, contracts, and performance against agreed SLAs and outcomes. 

Large-Scale Deployment & Rollout  

• Lead transition from pilot to large-scale, multi-site production deployment, ensuring repeatability and standardization. 

• Define deployment strategies, rollout waves, site readiness criteria, and cutover plans. 

• Support handover to Technology Deployment Engineers with complete technical, operational, and support documentation. 

• Provide early-life support during hypercare and stabilization phases post go-live. 

• Ensure solutions are production-ready, scalable, and supportable across multiple assets and geographies. 

Business & Stakeholder Engagement 

• Develop business cases including value estimation, risk reduction, and operational impact. 

• Align deployments with business priorities, change management needs, and user adoption strategies. 

• Communicate effectively with senior stakeholders on progress, risks, and value realization. 

Compliance & Standards 

• Ensure solutions align with cybersecurity, data, safety, and enterprise engineering standards. 

• Identify and scope opportunities for autonomy, robotics, and remote operations aligned with FOF goals. 

Required Qualifications 

Education & Experience 

• Bachelor’s degree in engineering or related technical discipline. 

• 10+ years of industry experience in operations, digital, OT, IIoT, or engineering environments, including field instruments, control systems (PLC, DCS, SCADA), interfaces, and industrial communication protocols. 

Project & Delivery Experience 

• Proven experience acting as Project Manager or Technical Delivery Lead for medium to large-scale industrial digital programs. 

• Demonstrated success delivering enterprise or multi-site deployments, moving solutions from pilot to production scale. 

• Experience managing budgets, schedules, risks, and vendor deliverables in complex programs. 

• Familiarity with project management methodologies (Agile, Hybrid, or Waterfall) in industrial or OT environments. 

Technical & Domain Skills 

• Strong understanding of industrial operations and O&M workflows. 

• Experience with plant operations, mobility solutions, or digital field tools. 

• Experience with Digital Twin, advanced analytics, or real-time operational systems. 

• Exposure to upstream, downstream, or complex industrial facilities. 

• Familiarity with AI-enabled control, optimization, or predictive systems. 

Leadership & Communication 

• Proven ability to lead cross-functional technical initiatives. 

• Strong stakeholder engagement and communication skills, including articulation of platforms, architectures, and design decisions. 

• Experience working with external technology partners and vendors.