GIS Technical Lead

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Proven experience leading technical projects with significant Data Engineering and Data Science components.
Demonstrated experience mentoring and providing technical leadership to junior team members.
Hands-on experience working with large complex datasets including:
- Structural data (e.g. asset records)
- Geospatial (GIS) data
- Time-series data (e.g. smart meter readings)
Strong stakeholder communication and presentation skills with the ability to translate technical concepts for non-technical audiences.
Working knowledge of AWS (or other cloud-based services) relevant to data processing and MLOps.

Nice-to-Have Qualifications

Domain experience in utilities power systems or the broader energy sector.
Experience collaborating closely with product teams to implement and configure vendor platforms.
Experience establishing data quality frameworks and governance processes.
Experience acting as the technical point-of-contact for third-party software vendors.

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 stake...

Role Overview

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

Proven experience leading technical projects with significant Data Engineering and Data Science components.
Demonstrated experience mentoring and providing technical leadership to junior team members.
Hands-on experience working with large complex datasets including:
- Structural data (e.g. asset records)
- Geospatial (GIS) data
- Time-series data (e.g. smart meter readings)
Strong stakeholder communication and presentation skills with the ability to translate technical concepts for non-technical audiences.
Working knowledge of AWS (or other cloud-based services) relevant to data processing and MLOps.

Nice-to-Have Qualifications

Domain experience in utilities power systems or the broader energy sector.
Experience collaborating closely with product teams to implement and configure vendor platforms.
Experience establishing data quality frameworks and governance processes.
Experience acting as the technical point-of-contact for third-party software vendors.