Data & AI Engineering Lead

Understand IG’s current data sources, pipelines, dashboards, models, reports, economic calculations, and knowledge systems

Map key data flows across telemetry, dispatch, settlements, customer bill savings, operations, and customer reporting

Identify priority gaps in data quality, retrieval quality, economic visibility, and agent readiness

Define a practical data and AI roadmap for POWR:Suite

Own selected production data pipelines and retrieval systems

Improve data quality, lineage, observability, and documentation

Establish evaluation patterns for RAG and agent outputs

Build or improve agents that support analysis, settlement, reporting, customer value proof, operations, or engineering workflows

Lead the data and AI engineering function for POWR:Suite

Build a reusable data and knowledge foundation

Improve confidence in settlement, performance, operational intelligence, bill savings analysis, and customer reporting

Mature agent-assisted workflows that help teams work faster with better control

8+ years in data engineering, ML engineering, AI engineering, analytics engineering, or technical data product leadership

Experience leading technical work across teams or mentoring engineers

Strong GCP data platform experience, especially BigQuery, Pub/Sub, Dataflow, Cloud Storage, Vertex AI, or equivalent cloud-native services

Strong Python experience

Experience building production data pipelines and data platforms

Experience with RAG, LLM integration, vector search, retrieval evaluation, or AI-assisted knowledge systems

Ability to connect data architecture to business decisions, economic outcomes, and user workflows

Hands-on experience using AI tools as part of technical work