Revenue Solution Architect

Role Overview

The Revenue Solution Architect role is positioned within the Energy division as a technical delivery leader who bridges customers with internal teams and product development groups. This role is distinct from commercial pre-sales as it carries no sales targets but centers on delivering AI solutions, integration designs, and technology enablement both externally and internally.

Key Responsibilities

• Guide customers on exploring energy business workflows using AI and data solutions by shifting dialogue from raw data feeds to actionable, repeatable workflows.
• Translate client goals into feasible solutions using approved products, data sets, and integrations, creating precise technical designs that lower delivery risks.
• Understand available data endpoints and use cases to recommend existing or develop new workflows and AI prompts.
• Support prototyping and proofs of concept by assessing feasibility and documenting outcomes and reusable design patterns.
• Partner with customers to clarify technical requirements and shape solutions around energy market use cases, facilitating data exploration via AI tools and datasets.
• Address technical challenges and adoption barriers with evidence-based insights derived from platform capabilities and prior experiences.
• Lead internal AI training efforts to elevate AI knowledge and practical skills across the Energy division, contributing to playbooks and training materials.
• Standardize technical documentation, including discovery and architecture records, ensuring consistent formats.
• Collaborate across Business Line SMEs, Commercial, Technology, and Product teams to guarantee solutions are deployable, maintainable, and comply with current standards.
• Provide structured feedback to product development based on customer and delivery insights to influence the product roadmap.
• Manage multiple stakeholder inputs in a matrix environment to meet fast-paced deadlines.
• Employ the Databricks ecosystem to integrate data from various sources using techniques such as Lakehouse Federation and Unity Catalog governance, implementing AI proof-of-concepts for semantic data querying.
• Design and develop modular, reusable AI workflow components encapsulating domain-specific logic.
• Enable Model Context Protocol (MCP) integrations to expand AI tool capabilities, enabling secure access to diverse data endpoints and APIs.
• Troubleshoot delivery stack issues, including API performance, cloud infrastructure, authentication, and pipeline stability, while instrumenting observability for SLA adherence.
• Architect strategies for token management and context optimization to ensure AI solutions operate efficiently, scale well, and control costs.

Candidate Profile

• At least 5 years’ experience in solution architecture, technical enablement, or technology delivery-related roles.
• Keen familiarity with energy markets and enthusiasm to explore key themes through data.
• Working knowledge of cloud platforms and AI tools including Snowflake, Databricks, Google Cloud Platform (GCP), Claude, Copilot, and Gemini.
• Understanding of AI frameworks and orchestration for agentic systems with the ability to develop deployable client solutions.
• Proficiency in creating and reviewing technical documents such as architecture diagrams, integration flows, and non-functional requirements related to performance, security, and availability.
• Effective communication skills for engaging both technical and business stakeholders, including preparation of concise written materials.
• Strong collaboration and interpersonal abilities.
• A bachelor’s degree in Business, Computer Science, Engineering, or a related discipline.

About the Company

S&P Global Energy offers in-depth global energy and commodity market insights enabling customers to make informed and sustainable decisions. Their offerings include news, pricing, research, advisory services, and industry events. The organization is known for advancing essential intelligence, partnering with over 35,000 global professionals committed to innovation, sustainability, and integrity.

Benefits and Culture

• Comprehensive health and wellness programs targeting both physical and mental health.
• Flexible and generous time off to maintain work-life balance.
• Access to continuous learning opportunities for career development and skill growth.
• Financial security programs including competitive salaries, retirement planning, education support with matched student loan repayments, and financial wellness initiatives.
• Family-oriented perks designed to support employees’ partners and children.
• Additional perks such as retail discounts and referral rewards to enhance employee experience.

Equal Opportunity Employment and Recruitment Disclaimer

The company promotes an inclusive hiring process focused on merit, ensuring opportunities are available regardless of race, gender identity, age, disability, or any legally protected status. Applicants requiring accommodation due to disability can request assistance via email. The employer strongly advises vigilance against recruitment fraud and provides clear guidelines to identify and report scams.