Investment Data Warehouse Technical Resources Services
Overview
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SUMMARY
KEY REQUIREMENTS
CONTRACT DURATION
TIMELINE
Written Question Submittal Due Date: August 24th, 2026
Offer Due Date: August 28th, 2026
Estimated Start Work Date: November 2026
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
California State Teachers' Retirement System
DESCRIPTION
A government authority in California seeks technical resources to maintain, enhance, and advance its investment data warehouse architecture and platform. The platform is intended to support generative business intelligence, artificial intelligence, and machine learning capabilities that deliver deeper insights, predictive analytics, and automated decision-making.
The selected vendor will provide full-stack development, GenBI and GenAI capabilities, AI/ML support, and ongoing maintenance and operations. Responsibilities include applying user interface and user experience design principles to analytics dashboards using technologies such as Chainlit, Streamlit, and React; operating CI/CD pipelines for machine learning and data workflows; performing data integration, cleaning, and transformation; and conducting continuous prompt engineering to guide and fine-tune system behavior.
The work also includes creating interactive reporting and data storytelling using data visualization best practices and human-centered design. Questions must be submitted by August 24, 2026, and proposals are due by August 28, 2026.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due August 28, 2026. Questions must be submitted by August 24, 2026.
- Who issued this RFP?
- It was issued by California State Teachers' Retirement System. The work is located in West Sacramento, California, United States.
- Who is a good fit for this opportunity?
- Data engineering and analytics firm with investment or financial data warehouse experience
- Proven expertise in GenAI, AI/ML, predictive analytics, and generative business intelligence
- Full-stack development capabilities using React, Streamlit, and Chainlit
- Experience operating CI/CD pipelines and production data or machine learning workflows
- Strong background in prompt engineering, data visualization, UX design, and interactive reporting
- Ability to provide ongoing technical maintenance and operations support for government or enterprise platforms
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.