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Senior Director - Fleet Telemetry Engineer

TriSource
3 days ago
Full-time
On-site
Mount Pleasant Township, PA, United States
Direct

Senior Director – Fleet Telemetry Engineering Solar & Renewable Energy We are seeking a highly strategic and technically strong Senior Director – Fleet Telemetry Engineering to lead the strategy, architecture, engineering, and management of data generated across our commercial and residential solar and renewable energy fleet This is a senior-level data leadership position for a true data person wh
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o understands how to take large, complex streams of telemetry and operational data and turn them into reliable, actionable intelligence.
The Senior
Director will own the end-to-end data ecosystem supporting our distributed energy assets, including solar systems, inverters, batteries, monitoring platforms, connected devices, sensors, and other field equipment. This leader will bring together data from the commercial and residential businesses to create a unified, scalable, and trusted data environment. The successful candidate will bridge data engineering, telemetry, IoT, renewable energy operations, analytics, and business strategy , enabling the organization to better understand asset performance, identify issues, optimize energy production, reduce operating costs, and improve customer outcomes.
Enterprise
Fleet & Telemetry Data Strategy Own the overall strategy for telemetry and operational data across the company's commercial and residential renewable energy assets. Establish a unified data strategy across solar installations, inverters, batteries, meters, monitoring systems, IoT devices, and other connected equipment. Take enterprise ownership of the organization's fleet and asset data, ensuring commercial and residential data can be accessed, analyzed, and leveraged consistently.
Develop the long-term roadmap for telemetry, data infrastructure, analytics, and intelligent asset management. Identify opportunities to turn existing operational data into new business and operational capabilities. Data Engineering & Architecture Lead the architecture and development of scalable data platforms capable of handling high-volume, real-time telemetry.
Design and oversee data pipelines for collecting, processing, transforming, storing, and distributing asset and energy data. Integrate data from multiple monitoring platforms, inverter manufacturers, battery systems, IoT devices, APIs, enterprise applications, and third-party data providers. Establish common data models and standards across commercial and residential systems.
Build reliable infrastructure for both real-time operational monitoring and historical analytics. Reduce data fragmentation and eliminate siloed information across business units and technology platforms.
Renewable Energy Asset Intelligence
Develop the data foundation necessary to monitor the health and performance of distributed renewable energy assets. Enable visibility into system production, availability, efficiency, outages, equipment performance, alarms, and operational trends. Leverage telemetry to identify performance anomalies and potential equipment failures.
Develop capabilities to identify underperforming solar assets and determine the underlying causes. Enable optimization of energy production, asset utilization, maintenance, and field-service operations. Commercial & Residential Data Integration Establish a common data strategy spanning commercial and residential solar operations Create consistent definitions, metrics, and data standards across both business segments.
Develop a unified view of asset, customer, energy-production, maintenance, and operational data. Understand the differences between commercial and residential systems while creating an architecture that supports both. Partner with business leaders to identify opportunities to leverage data across the organization.
Partner with Data Science, Analytics, Product, Engineering, and Operations teams to turn telemetry into actionable insights. Build the infrastructure necessary to support advanced analytics, machine learning, and AI applications.

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