Systems Manager - Google Cloud Platform, Enterprise Data & Analytics - CECONY

The Systems Manager, Google Cloud Platform, Enterprise Data & Analytics, leads the strategy, delivery, and operational excellence of Con Edisons enterprise data platform on Google Cloud. This role provides end-to-end ownership of data ingestion, governance, and platform performance to ensure that enterprise data is reliable, secure, and ready to support analytics, regulatory reporting, and advanced AI/ML initiatives.

The Systems Manager oversees the engineering, architecture, and operations of Google BigQuery, Vertex AI / Agent Platform, Dataplex / Knowledge Catalog and associated data intake services, ensuring adherence to enterprise standards for reliability, scalability, and cost efficiency. This includes managing the full data lifecycle from intake and transformation to consumption while maintaining strong controls around data quality, security, and privacy. Partnering with Data Governance, Analytics, AI/ML, and Application teams, this role translates enterprise data strategy into production-grade solutions that power business insights and grid modernization. The position also manages internal staff and external vendors to deliver continuous improvement and operational resilience across Con Edisons data ecosystem.

This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.

• Own and manage the Google enterprise data platform, including datasets, schemas, environments, and supporting services (e.g. BigQuery, Vertex AI / Agent Platform, Dataplex / Knowledge Catalog)
• Lead and oversee enterprise data intake and establish standardized data onboarding patterns, including batch and streaming ingestion pipelines, ensuring reliability, scalability, and timeliness
• Define and enforce platform standards for data modeling, partitioning, clustering, transformation patterns, and development best practices
• Enable analytics, reporting, and data engineering teams to develop and deploy data products efficiently within BigQuery
• Ensure day-to-day operational excellence of the BigQuery platform, including monitoring, alerting, incident response, and root cause analysis
• Partner with Data Governance and Security teams to enforce data access controls, privacy requirements, retention policies, and auditability within Dataplex / Knowledge Catalog
• Ensure data quality controls and validation processes are embedded within ingestion and transformation workflows
• Manage, lead and develop platform engineering and operations staff supporting BigQuery and data intake services through coaching, performance management, and effective work assignment
• Execute the enterprise data platform roadmap by operationalizing approved standards and architectural decisions