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.Key Skills
Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture
Employment Type : Full Time
Experience : years
Vacancy : 1