Team Lead, Data Services and Infrastructure

AES Clean Energy (CE) is seeking a Team Lead Data Services and Infrastructure to support the Operations and Maintenance (O&M) Engineering team by leading the development management and scaling of data systems that underpin the CE portfolios analytics capabilities. This individual will play a critical role in ensuring the reliability scalability and accessibility of data across AES CEs growing fleet of Solar Wind and Battery Energy Storage System (BESS) assets.

This roleis responsible foroverseeing both data infrastructure and data services functions including data pipelinesarchitecturedataquality and reporting systems. The Team Lead will build and manage a small high-impact team while also owning the tools and platforms that enable the broader Data Analytics organization. The ideal candidate will bring a balance of technicalexpertise leadership capability and strategic thinking to support a rapidly growing and evolving data environment.

At AES we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every dayinour small global teams. Apply here to start an extraordinary career today.

AESs mission is to improve lives by accelerating a safer and greener energy future.We are a global agile cohesive organization with an employee engagement level akin to a startup company.AES businesses throughout the world are often recognized asgreat placesto work.Our people share a passion to help meet the worlds current and increasing energy needs whileprovidingcommunities andcountriesthe opportunity for economic growth due to the availability of reliable affordable electric power.

A day in the life of an AESCETeam Lead Data Services and Infrastructurewill include but is not limited to:

Leading and developing a team responsible for data pipelines architecture data quality and reporting services

Designing managing andoptimizingdata infrastructure supporting Solar Wind and BESS analytics use casesas part of the Clean Energy Data Analytics and Reporting (CEDAR) platform

Owning and administrating core data engineering and analytics platforms used by the Data Analytics team

Ensuring high data quality reliability and availability acrossCEDAR and otheroperational and reporting systems

Collaborating with Analytics Engineering O&M Engineering and Digital teams to deliver scalable data solutions

The Team Lead Data Services and Infrastructuresupportsa larger O&M and Data Analytics organization and serves as the primary owner of data platform performance and reliability. This requires strong experience with data architecture pipeline development cloud platforms and operational data systems (e.g. SCADA/DAS) as well as the ability to lead teams and influence cross-functional stakeholders. Excellent communication prioritization and strategic planning skills are essential.

The position may include up to5-10% travel to partner officesand project locations.

Key Responsibilities

Operations

• Oversee the design development and maintenance of data pipelines and architecture supportingthe Clean Energy Data Analytics and Reporting (CEDAR) platform

• Ensure scalable reliable ingestion and processing of operational data from SCADA DAS and other external data sourcesto the GCP data lake

• Build and lead a team of data engineering and data architecture professionals (initially 2 roles) to support growing data needs

• Oversee the Data Services function ensuringhigh standardsfor data quality integrity and reportingreliability

• Own and administratecore data engineering and analytics tools for the broader Data Analytics team

• Establish andmonitordata quality frameworks validation processes and system performance metrics

• Drive standardization of data models pipelines and architecture to support long-term scalability

• Participatein Job Safety Assessments and Safety Walks toidentifyjob-site hazards when traveling to sites

Collaboration

• Collaborate with the Analytics Engineering team to ensure data products are built on scalable reliable infrastructure

• Partner with O&M Engineering to align data systems with operational analytics needs and priorities

• Together with the CE Operations Technologyand Digitalteamsworkto deliver successful data pipelines from DAS providers tothe GCP data lake

• Leadintegration engineeringefforts to improve data systems and workflows across teams

• Serve as a key liaison between data platform teams and end users ensuring data accessibility and usability

• As a subject matter expert advise otherteam membersacross the organizationon best practices for data-relatedprojects

Growth and Leadership

• Build mentor and develop a high-performing team fostering a culture of accountability innovation and continuous improvement

• Define and prioritize the data infrastructure roadmap in alignment with organizational goals and portfolio growth

• Identifyopportunities to improve efficiency scalability and reliability of data systems and processes

• Lead adoption of new tools technologies and best practices in data engineering andanalytics

• Contribute to strategic planning efforts related to data analytics and digital transformation across AES CE

• Promote strong data governance practices including documentation standards and consistency across teams

• Improve and develop processes forutilizingdata to ensuretheoperationof safequalityand high-performance projects

• Willingness to continue to learn and grow your skills constantly evaluating how AES CE operations can be improved

• This roleparticipatesin:

• Budget meetings

• Meetings with O&M Leaders

• Meetings with Regional Leaders

• Meetings with COOs and Executives

• Participates in the budgeting process with O&M leaders FP&A Portfolio Asset Management and Commercial team

Skills and Qualifications

Primary Qualifications

• Undergraduatedegree in Engineering Computer ScienceDataScienceor equivalent technical field

• 5 years of experience in data engineering data architecture or related roles

• AdvancedproficiencywithSQL and Python

• Experience designing andmaintainingscalable data pipelines (ETL/ELT)

• Experience with cloud-based data platforms (e.g.GCPAzureorAWS)

• Experience working with large-scale time-series datasets (e.g.fromSCADA/DASsystems)

• Strong understanding of data modeling data architecture and system design principles

• Experience with data governance frameworks and best practices

• Successful experience workingand managing projectsacross teamsespeciallywith agile methodologies

• Strong analytical thinking and problem-solving skills

• Excellent written and verbal communication skills

• High degree of commitment to a quality safety culture and an incident-free work environment

• Personal values consistent with those ofthe AESCorporation

Plus Qualifications

• Masters degree in Engineering Computer Science Data Science or equivalent

• Experience with the technical/electrical aspects of Solar PV Wind andBatteryEnergy Storage Systems(BESS)

• Experience supporting or building analytics/reporting environments (Power BI Tableau etc.)

• Familiarity with orchestration and workflow tools (e.g.PrefectAirflow)

• Experience with Artificial Intelligence and Machine Learning

• Spanish language skills

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgroundsdifferencesand perspectives enables us to improve the lives of our people customers suppliers contractors and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex sexual orientation gender gender identity and/or expression race national origin ethnicity age religion marital status physical or mental disability pregnancy childbirth or related medical condition military or veteran status or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary the Department ofHomeland Security (DHS) with information from each new employees I-9 to confirm work authorization