GIS Technical Lead

Role Overview

We are seeking an experienced Technical Lead to drive complex, data-intensive projects combining Data Engineering and Data Science within the utilities and energy domain. This role requires hands-on leadership across large-scale datasets (including GIS and time-series data), strong stakeholder engagement skills, and experience delivering integrated AI-driven solutions.

The successful candidate will act as a technical liaison across business stakeholders, product teams, and engineering teams, ensuring high-quality, scalable, and business-aligned data solutions.

Key Responsibilities

• Lead technical requirements gathering sessions with business stakeholders and subject matter experts to translate business needs into detailed technical specifications and data models.
• Lead the technical execution of projects involving both Data Science and Data Engineering teams to deliver integrated AI solutions.
• Oversee the end-to-end data lifecycle, including data contextualization, mapping, and ingestion of large-scale structural, GIS, and time-series (e.g., AMI) data into the product.
• Configure and customize demand forecasting and grid impact assessment modules using backend interfaces and front-end UI controls to align with client requirements.
• Design and implement rigorous validation frameworks to ensure the accuracy, reliability, and business value of platform outputs.
• Provide technical guidance, mentorship, and support to junior data scientists and engineers.
• Serve as a key technical liaison, communicating project status, risks, technical complexities, and outcomes to internal stakeholders and product teams.

Required Experience & Skills

Structural data (e.g., asset records)

Nice-to-Have Qualifications