Manager, Enterprise Data and Integrations

Invenergy is North America’s largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future. This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window. Job Description The Manager, Data & Integrations is responsible for overseeing the enterprise integration program and the operational management of data pipelines, analytics platforms, and integration workflows. This role manages the technology stack spanning Azure, Databricks, Synapse, SQL Server, and Boomi, ensuring secure, reliable, and high‑performing data and integration operations. The manager will develop program roadmaps, govern standards, lead cross‑functional collaboration, and ensure seamless flow of data across applications, systems, and business processes. This role provides technical leadership, operational oversight, and strategic direction to a team of analysts and integration specialists, as well as [... source excerpt omitted ...] siness teams to understand data and analytics needs, supports data exploration, and ensures governance, compliance, and efficient operations across the enterprise data ecosystem. Responsibilities Program Leadership & Strategy Lead the enterprise application integration and data operations program, including roadmap development, governance, standards, and strategic planning. Provide regular updates to IT and business leadership regarding program progress, performance, risks, and planned improvements. Drive continuous improvement of integration and data platform operations through process optimization, automation, and adoption of industry best practices. Platform & Data Pipeline O [... source excerpt omitted ...] ernance practices, including metadata management, lineage documentation, and catalog upkeep. Ensure integrations and data pipelines adhere to governance, security, and compliance requirements. Support data quality practices by identifying data anomalies, coordinating remediation efforts, and implementing automated validation checks. Cross‑Functional Partnership & Business Enablement Collaborate with business teams to understand analytics and reporting needs, supporting data exploration and enabling self-service usage of enterprise data. Partner with application teams, enterprise architecture, and functional IT groups to ensure integrations align with application roadmaps and bus