Pseg Jobs

Job Summary

                                         At this time, only current PSEG employees are being considered. 

The Analytics Solution Architect is responsible for defining, designing, and governing end-to-end data and analytics solutions across the enterprise. This role ensures scalable, reusable, and supportable solutions that align with business processes, enterprise architecture standards, data and analytics strategy, and established technology best practices.

The architect leads solution architecture and design across data, analytics, reporting, and related technologies, looking across applications, infrastructure, technology components, and data. The role partners closely with business stakeholders, data and analytics teams, technical teams, implementation partners, and Enterprise Architecture to translate business needs into effective solutions and remains engaged through delivery to guide implementation and conformance to the intended architecture.
This position reports to the Director, Analytics, Automation, and AI Architecture and Solutions.

Job Responsibilities

• Analytics Platform Architecture: 
  Partner with the Analytics Enterprise Architect and other technology teams to define and evolve the architecture of enterprise data and analytics platforms to serve business needs and enhance governance. Provide solution-level input to platform roadmaps and ensure solutions align with enterprise architecture, security, integration, and technology strategies. Stay current with developments in data and analytics technologies, architectural approaches, and vendor offerings; evaluate technology options and recommend or help select products and vendors based on business value, capability, fit, risk, and cost.
• Architecture and Design Standards: 
  Establish and maintain practical architecture and design standards, patterns, and reusable components for data and analytics solutions, including data modeling, data integration, storage, transformation, business logic, analytics, and reporting. Promote consistent application of these standards across delivery teams and contribute to governance standards and practices, including those supporting data quality, metadata, lineage, data ownership, security, and appropriate use of enterprise data.
• Solution and Project Architecture: 
  Lead architecture and design for data and analytics projects, translating business and functional requirements into implementable end-to-end solutions. Develop conceptual and detailed designs, including data models, data flows, technology components, interfaces, security requirements, and non-functional requirements. Evaluate alternatives and provide estimates of technology infrastructure, licensing, cloud consumption, and other ongoing operating costs where applicable.
• Solution Implementation: 
  Remain actively engaged through project implementation to ensure solutions are delivered in accordance with the approved architecture and design. Work directly with internal and external delivery teams and, as needed, contribute hands-on to detailed data modeling, transformation and business-logic design, design reviews, testing, troubleshooting, and resolution of complex implementation issues.
• Compliance with the Department of Energy’s regulation 10 CFR 810 is required.

Job Specific Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, Mathematics, or related disciplines.
• 10 or more years of experience in technology solution engineering, architecture, data engineering, analytics, application development, or relevant experience. Demonstrated experience designing and delivering enterprise-scale data and analytics solutions and working with implementation teams through the delivery lifecycle.
• Strong ability to translate business and technical requirements into scalable, secure, supportable, and cost-effective solution architectures and detailed designs. Experience with data architecture and modeling, integration patterns, solution trade-off analysis, non-functional requirements, architecture standards, and reusable design patterns.
• Strong knowledge of modern data and analytics architectures and technologies, including data warehouses, data lakes/lakehouses, cloud data platforms, databases, ETL/ELT and data integration, business intelligence, and reporting. Strong data modeling skills and understanding of data quality, metadata, lineage, security, and related data-management concepts.
• Ability to work directly with business stakeholders to understand business processes, objectives, data needs, and functional requirements; identify gaps and dependencies; evaluate solution alternatives; and translate business needs into clear technical requirements and designs.
• Strong written, verbal, facilitation, and presentation skills, with the ability to explain complex architecture and technical concepts to both business and technology audiences, document architecture decisions clearly, reconcile differing perspectives, and influence stakeholders and delivery teams without direct authority
• Understanding of data architecture and data management requirements needed to support AI and advanced analytics, including data quality, accessibility, integration, and governance considerations.
  
  

Desired

• Experience working in a regulated industry, preferably utilities or energy, and with large-scale enterprise transformation programs.
• Knowledge of enterprise architecture frameworks, architecture repositories/modeling tools, or formal architecture governance practices.