GenBI Data Analytics Consultant

Title: GenBI Data Analytics Consultant

Location: Remote

Length: Long term

Restriction: W2 or C2C

Description:

*** Webcam interview long term project initial PO for 3 years with multiyear extensions Need 3 verfiable references ***

Key capabilities and benefits of GenBI that CalSTRS seeks to attain, but are not limited to the following:

Self-service Analytics for Democratized Data Access

Enable users to ask the GenBI tools, in plain language, to conduct advanced analytics and build reports without the need to learn special programming languages specific to a traditional data analytics tool.

Empower users at all levels within CalSTRS to access and interpret data, without the need to rely on technical developers to transform data and build charts from scratch.

Automation for Improved Efficiency

Automate repetitive tasks to reduce the need for manual data analysis and interpretation, allowing business stakeholders to focus on essential/ strategic work, instead of cleansing/transforming data.

Auto-generate insights and recommendations, revealing meaningful patterns or insights leading to faster decision-making.

Advanced Analytics for Predictive Capabilities

Leverage machine learning and artificial intelligence to generate predictive insights to anticipate future trends and opportunities.

Process larger volumes of complex data, enabling analysis of previously inaccessible insights.

Data Decoupling for Increased Data Security

Decouple data from public-facing AI solutions like ChatGPT to protect privacy and mitigate data security concerns with sharing sensitive confidential data with a public Large Language Model (LLM).

Avoid challenges associated with uploading large amounts organizational data to a public LLM. CalSTRS envisions this engagement to have five tracks (or logical groupings) of efforts. CalSTRS is open to suggestions about the best timing of performing these five tracks, e.g., serially, concurrently, or with some overlapping among one or more tracks.

A set of high-impact GenBI use cases.

A detailed architecture/design of an enterprise-level GenBI platform.

A gap analysis of existing BI platform (As-Is) and a GenBI platform (To-Be).

A data governance framework for Enterprise Data Analytics that can support and sustain a GenBI platform.

Implementation(s) of one or more high-impact and architecturally significant GenBI use case within the proposed GenBI platform. (Optional track)

Minimum Technical Qualifications for the Respondent’s Proposed Team

As of the Offer due date, the Respondent’s proposed personnel must individually or collectively1 meet the following qualifications as evidenced by Attachment II, Proposed Project Person Skill Summary Sheet and resume(s):

The Respondents team must have successfully delivered at least one (1) BI&DW system with AI capabilities.

The Respondents team must have at least ten (10) years of experience identifying BI use cases and creating Return on Investment (ROI) analyses, risk analysis, prioritization matrix, and implementation roadmaps.

The Respondents team must have at least five (5) years of experience developing Data Governance framework, policies, standards, and the implementation plans.

The Respondent’s team must have at least three (3) years of experience of designing & implementing AI or ML use cases.