Description
:
Key Responsibilities
* Lead and contribute to technical research projects focused on data management, interoperability, and grid model management
* Support the adoption and extension of IEC-CIM/CGMES standards for grid model management, working closely with utility partners and research consortia
* Develop and implement data management plans for EU Horizon Europe projects, addressing challenges in AI, regulatory compliance, and energy system modeling
* Contribute to the design and implementation of enterprise data architectures that support AI-driven applications and advanced analytics for electric utilities (e.g. grid operations, forecasting, and asset management)
* Develop data integration strategies for enterprise systems, enabling machine learning models and predictive analytics, and ensuring compliance with relevant standards and interoperability frameworks
* Design and deliver simplified data cataloging tools for organizations of varying sizes, focusing on governance, quality, and lineage
* Collaborate with EPRI members, internal technical teams, and subcontractors to develop leading practices and guidance
* Participate in multiple concurrent projects as an individual contributor, including the development of interoperability maturity models and assessment tools
* Author and present research findings, white papers, and technical guidance on interoperability, data architecture, and maturity models
* Engage with global experts and stakeholders to transfer knowledge and shape best practices in the energy sector
Focus Areas
* Data Management Frameworks: DMBOK, DCAM, FAIR principles
* Systems Integration & Protocols: Data exchange protocols, semantic standards, systems integrator experience (OpenAPI, Apache Avro, SQL, Kafka, Hadoop)
* Data Architecture: Master data management, data modeling, data quality measurement and correction, decus
* entralized architectures, data mesh
* Modeling Languages: UML, Archimate
* Digital Strategy: Digital transformation, capability maturity models, regulatory frameworks (EU AI Act)
* Industry Standards: IEC Common Information Model (CIM), CGMES, W3C, ISO, OGC
* Interoperability: Development and assessment of interoperability maturity models, focus groups, and best practices
Education:
* Bachelor’s Degree in a technical field or equivalent experience required
Qualifications
* 2–3 years of engineering or comparable work/educational experience
* Certified Data Management Professional (CDMP) or equivalent is a plus
* Experience as a Data Architect, Data Modeler, or Application Engineer (e.g., Siemens, GE) is highly desirable
* Experience in decentralized data architecture, information modeling, and standardization (IEC, W3C, ISO, OGC) is preferred
* Familiarity with RDBMS/SQL, NoSQL, APIs, business architecture, and software development
* Strong verbal and written communication skills; ability to present research externally and engage with international stakeholders
* Ability to work independently and collaboratively across cross-functional technical domains
Ideal Candidate Profile
* Demonstrates initiative and collaborates effectively to drive results.
* Able to build productive relationships and communicate effectively with stakeholders across regions and cultures.
* Motivated to contribute to advancing a secure and affordable energy landscape.
* Shows strong interest in emerging technologies and thrives in environments that emphasize research, innovation, and cross‑industry collaboration.
EPRI is committed to complying with the regulatory framework governing export control, consisting of international treaties, U.S. laws, regulations and trade sanctions, and where applicable, foreign laws governing export control. These include the International Traffic in Arms Regulations (ITAR), Part 810 nuclear export regulations, and the Export Administration Regulations (EAR). It is a critical requirement of this role that the successful candidate will have to work with export-controlled technology / information. As a result, prior to applying for this role, please ensure you satisfy yourself as to your ability to access such export-controlled technology / information without further authorization from government.