Architect - AI Products
About The Position
As the Senior Advisor II, Architect - AI Products, you will shape the architecture for data-driven products that improve business decision-making, operational efficiency, and performance. The role connects business needs with practical product delivery and partners with traders, analysts, engineers, data scientists, and enterprise technology teams to design products that bring together market, operational, financial, and trading data. You will build on the Enterprise Analytics Data-as-a-Service platform, focusing on the data models, integrations, workflows, and product capabilities needed by the business. The position defines product and solution architecture for data, analytics, and AI products across enterprise and business functions, including Commercial. It translates business problems into scalable product designs, roadmaps, data models, and integration patterns, and guides products through design, development, integration, testing, deployment, and production support. The role also helps establish consistent architecture, engineering, and governance standards in partnership with Enterprise Analytics. Success means delivering reliable products that combine data from multiple sources, reduce manual work, and support reporting, analytics, automation, and practical AI use cases. Products and pipelines should be reusable, documented, observable, scalable, and designed to address data quality and integrity. The role requires travel up to 5% of the time.
Requirements
- Legally authorized to work in the job posting country.
- Bachelor’s degree in Information Technology, Computer Science, Engineering, Business, or a related field.
- At least 7 years of experience designing and delivering data-intensive products, integrations, or enterprise applications.
- Advanced proficiency in data engineering, data modeling, APIs, system integration, and batch or event-driven pipelines.
- Advanced proficiency in front-end and full-stack development using React, Node.js, and C#.
- Advanced proficiency in translating business requirements into product and solution architecture.
- Advanced proficiency in working across the full product lifecycle, including design, development, testing, deployment, and support.
Nice To Haves
- Experience working effectively with business stakeholders, engineers, data scientists, and enterprise platform teams.
- Experience with commodities, energy, power, gas scheduling, trading, refining, logistics, or physical operations.
- Experience with trading or scheduling platforms such as ENDUR or RightAngle.
- Experience with market and energy data sources.
- Experience with Databricks, Data Factory, cloud platforms, data lakes, or enterprise data services.
- Experience building common data models for curves, deals, nominations, positions, or physical assets.
- Experience developing decision-support products that improve data integrity, standardization, reporting, or workflow automation.
- Experience applying ML or AI to operational, scheduling, forecasting, or business use cases.
- Familiarity with enterprise AI code assistant development and the product, security, governance, and integration considerations involved.
- Experience managing and coordinating onshore and offshore delivery teams in an Agile environment.
- Familiarity with data quality, lineage, observability, and governance practices.
Responsibilities
- Define product and solution architecture for data, analytics, and AI products supporting enterprise and business functions, including Commercial.
- Translate business problems into scalable product designs, roadmaps, data models, and integration patterns.
- Design data pipelines and integrations across market data, trading systems, operational systems, external sources, and enterprise platforms.
- Establish reusable data models and transformation patterns for energy data, curves, deals, nominations, positions, assets, vessels, locations, and other business entities.
- Improve data quality, standardization, lineage, and reporting so users can make decisions with confidence.
- Help replace manual spreadsheet-based processes with reliable decision-support products and automated workflows.
- Identify opportunities to apply ML and AI to improve forecasting, optimization, automation, or user experience.
- Partner with Enterprise Analytics as the delivery engine and help teams apply consistent architecture, engineering, and governance standards.
- Guide product teams through design, development, integration, testing, deployment, and production support.
- Communicate effectively with technical teams, business stakeholders, and leaders.
- Travel up to 5% of the time.
Benefits
- Annual Variable Cash Incentive Program (VCIP) bonus.
- 8% 401k company match.
- Cash Balance Account pension.
- Medical, dental, and vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP.
- Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
