GenBI data analytics consultant - onsite

Hi All,

we have an urgent Requirement for GenBI Data Analytics Consultant

Location; Hybrid (2 3 days/week on-site in West Sacramento, CA)
Duration; 12 months with a possible 12-month extension

Required Skills;
The GenBI Data Analytics Consultant will support in modernizing the Business Intelligence
(BI) and Data Warehouse (DW) platforms by integrating Generative BI (GenBI) and agentic
AI capabilities. The role is part of a strategic initiative to advance client's analytics maturity
through AI/ML and generative tools, data governance, and automation.
The consultant will work closely with stakeholders to identify high-impact GenBI use cases,
assess and enhance data governance frameworks, and help design and implement a
scalable enterprise-level GenBI/agentic AI platform. This role requires both strategic
foresight and hands-on experience with data analytics, architecture, and AI tools.

Key Responsibilities:
Collaborate with business units to evaluate and document at least five high-impact
GenBI use cases
Conduct ROI, feasibility, and risk assessments to prioritize BI/GenBI initiatives
Develop requirement documents including goals, data inputs, outcomes, and
acceptance criteria
Perform architecture review of existing BI/DW platforms and define a roadmap to a
GenBI-enabled platform
Design and document enterprise-level GenBI and agentic AI architecture
Implement foundational components of GenBI use cases and platform features
Review and recommend enhancements to current BI/DW data governance
framework, standards, and tools
Work with compliance, information security, and IT governance teams to assess and
mitigate risks
Deliver comprehensive reports, RACI matrices, and technical documentation
Participate in stakeholder meetings, status reviews, and knowledge transfer
sessions

Minimum Required Qualifications:
At least one (1) completed BI or DW engagement with a total project budget of $20M
or more
Minimum five (5) years of experience in:
Identifying BI use cases
Creating KPIs, risk analyses, prioritization matrices, and implementation
roadmaps
Experience in successful development and implementation of enterprise-wide data
governance frameworks, policies, and standards
Minimum three (3) years of experience designing and implementing AI or ML use
cases

Desirable Qualifications:
At least five (5) years of experience consulting with California state agencies,
adhering to state-specific SDLC, IT policies, and the California Department of
Technology's SIMM guidelines
Technical certifications in:
Cloud platform architecture (AWS, Azure)
GenAI or GenBI solutions
Proven experience in designing and building an agentic AI platform architecture for
BI or GenBI
Familiarity with project management standards (e.g., PMI PMBOK) and Scaled Agile
Framework (SAFe)
Availability to work hybrid (on-site 2 3 days/week at West Sacramento HQ)
Required Skills and Tools:
Enterprise BI & Data Warehousing tools (e.g., Power BI, Tableau, SAP BI, Informatica)
Machine Learning & AI platforms (e.g., Azure ML, AWS SageMaker, Databricks,
OpenAI APIs)
Data modeling and governance tools (e.g., Collibra, Alation, Talend, Informatica
Axon)
Strong understanding of GenAI, LLMs, and prompt engineering
Excellent communication and stakeholder management skills
Experience with security, privacy, and compliance for sensitive data analytics in
public sector environments

Soft Skills:
Strategic thinker with strong analytical and problem-solving skills
Ability to lead collaborative workshops and facilitate consensus among crossfunctional stakeholders
Commitment to documentation and knowledge transfer
High attention to detail, professionalism, and adaptability in a hybrid public sector
environment