Technical Lead

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Objective

We are seeking a Technical Lead to drive the end-to-end delivery of advanced data and AI-driven solutions by bridging Data Engineering Data Science and business stakeholders. This role will lead complex technical initiatives involving large-scale structural GIS and time-series data ensuring scalable data architectures high data quality and accurate analytical outputs. The Technical Lead will provide hands-on leadership mentor junior team members and serve as a key technical liaison to ensure solutions align with business objectives and deliver measurable value.

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 the demand forecasting and grid impact assessment modules using both backend interfaces and front-end UI controls to align with clients specific needs.
Design and implement rigorous validation frameworks to confirm the accuracy and business value of the platforms outputs.
Provide technical guidance mentorship and support to junior data scientists and engineers fostering their growth and ensuring high-quality deliverables.
Serve as a key technical liaison effectively communicating project status technical complexities and results to internal stakeholders and the product team.

Must-Haves:

Proven experience leading technical projects with significant Data Engineering and Data Science components.
Demonstrated experience providing technical guidance and mentorship to junior team members.
Hands-on project leadership experience working with large complex datasets including structural data (e.g. asset records) geospatial (GIS) data and time-series data (e.g. smart meter readings).
Excellent stakeholder communication and presentation skills with the ability to articulate technical details to both technical and non-technical audiences.
Working knowledge of core AWS (or other cloud based) services relevant to data processing and MLOps.

Nice-to-Haves:

Domain knowledge in the utility power systems or broader energy sector.
Previous experience working closely with a product team to implement and configure a vendor platform or product.
Experience establishing data quality frameworks and governance processes.
Experience acting as the technical point-of-contact for third-party software vendors.

Objective We are seeking a Technical Lead to drive the end-to-end delivery of advanced data and AI-driven solutions by bridging Data Engineering Data Science and business stakeholders. This role will lead complex technical initiatives involving large-scale structural GIS and time-series data ensurin...

Objective

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 the demand forecasting and grid impact assessment modules using both backend interfaces and front-end UI controls to align with clients specific needs.
Design and implement rigorous validation frameworks to confirm the accuracy and business value of the platforms outputs.
Provide technical guidance mentorship and support to junior data scientists and engineers fostering their growth and ensuring high-quality deliverables.
Serve as a key technical liaison effectively communicating project status technical complexities and results to internal stakeholders and the product team.

Must-Haves:

Proven experience leading technical projects with significant Data Engineering and Data Science components.
Demonstrated experience providing technical guidance and mentorship to junior team members.
Hands-on project leadership experience working with large complex datasets including structural data (e.g. asset records) geospatial (GIS) data and time-series data (e.g. smart meter readings).
Excellent stakeholder communication and presentation skills with the ability to articulate technical details to both technical and non-technical audiences.
Working knowledge of core AWS (or other cloud based) services relevant to data processing and MLOps.

Nice-to-Haves:

Domain knowledge in the utility power systems or broader energy sector.
Previous experience working closely with a product team to implement and configure a vendor platform or product.
Experience establishing data quality frameworks and governance processes.
Experience acting as the technical point-of-contact for third-party software vendors.