Data & Automation Leader | AI-Powered Workflows

Energy Trust of Oregon

Portland (ME)

Hybrid

USD 133,000 - 213,000

Full time

14 days+

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Benefits offered by this job

Health/dental/vision insurance

401(k) with company contribution

Paid time off

TriMet pass

Work from home laptop

Job summary

Energy Trust of Oregon is seeking a Data and Automation Manager to design and implement enterprise-wide data management, automation, and analytics solutions. You’ll lead a team, define roadmaps, and partner with IT and business units to drive efficiency and data quality.

The role focuses on data warehouses, ETL, low-code/no-code apps, AI-driven tools, and governance to ensure secure, scalable platforms. Portland-based with flexible work options and a commitment to pay equity.

Qualifications

Bachelor’s degree in information technology or related field, or equivalent professional experience.
10 years of experience in data management, automation, or related technical domains, including responsibility for enterprise or cross-functional solutions.
3 years of demonstrated leadership in job or functional role, including people management or technical leadership.
Demonstrated experience in managing data engineering, ETL, process automation, business intelligence, or enterprise reporting platforms.
Experience managing governance for self‑service user‑facing tools like reporting, low code no code, or AI.
Experience managing or leading technical teams.
Experience with tools such as SQL, SSIS, ETL platforms, BI/reporting tools, automation tools, Power Platform, or similar tools.
Experience with modern data and applications platforms such as Microsoft Dataverse, Fabric, or equivalent enterprise platforms.
Familiarity with AI tools, including Microsoft Copilot or comparable AI solutions.
Familiarity with governance frameworks and best practices.
Experience in triaging requests for priority, establishing criteria.
Experience tracking metrics or KPIs.
Leadership and mentoring in data, automation, and reporting best practices.
Ability to work effectively in a collaborative, team‑based environment, and the ability to document work for easy understanding for both technical and non‑technical users.

Responsibilities

Lead, mentor, and supervise a team of data, automation, and reporting technologists, fostering collaboration and continuous improvement.
Set team goals; assign and prioritize work, manage workloads; conduct performance evaluations.
Partner with Infrastructure, Business Systems, and Enterprise Architect to align platforms and delivery approaches.
Develop and communicate a roadmap for data, reporting, automation, low/no-code apps, and AI initiatives.
Lead staff in partnering with business units to identify and deliver processes improvement and automation opportunities.
Oversee design and maintenance of data warehouse systems, ETL processes, and data structures for analytics.
Oversee development and management of low code/no code applications, workflows, and integrations.
Oversee AI-enabled automations and AI agents with governance and oversight.
Collaborate with IT leadership and users to establish AI/governance that meets business needs.
Provide vision for governance of enterprise reporting and analytics platforms.
Create guidance on platforms for automation and communications for data staff.
Contribute to Energy Trust’s Data Strategy and related initiatives.
Perform all functions of the job safely.