Title: Business Analyst, AI Strategy & Architecture
Location: Remote - EST time-zone
Client Industry: Healthcare– Integrated Delivery Network/Health-System
Compensation: $65/hr. - $85/hr.
We have partnered with our client in their search for a Business Analyst, AI Strategy & Architecture. In this role, you will be the hands-on engine of a high-visibility assessment that must uncover $200M in technology savings within 10 weeks. You will independently create the artifacts that power executive decisions—current-state inventories, build-vs-buy scorecards, use-case heat maps, and slide decks—while keeping pace with an agile, ambiguity-heavy environment.
Responsibilities
- Produce high-quality deliverables: data/AI asset inventories, gap analyses, use-case scoring matrices, build-vs-buy vendor scorecards, and polished slide decks.
- Support the use-case prioritization process—gather inputs, calculate value/complexity scores, validate data-ingestion assumptions.
- Draft sections of the future-state blueprint & roadmap, including information-architecture updates and landing-zone components.
- Conduct initial build-vs-buy analyses of AI vendors; document cost, timeline, and capability trade-offs.
- Assist workshop prep and post-read creation; capture insights and integrate them into living documents.
- Collaborate closely with Manager and Director while owning independent workstreams and deadlines.
Skills Required
- Proven ability to create client-ready deliverables (slides, diagrams, scorecards) with minimal oversight.
- Working knowledge of GenAI implementation concepts (LLMs, vector DBs, RAG, guardrails).
- Familiarity with information-architecture principles and data/governance considerations.
- Experience building or assessing AI Landing Zones on AWS/Azure/GCP or similar custom patterns.
- Strong analytical and communication skills; comfortable distilling technical findings for business audiences.
- Self-starter mindset—proactively identifies issues and proposes solutions rather than waiting for instructions.
Education & Work Experience
- Bachelor’s in Computer Science, Engineering, Information Systems, Data/Analytics, or related field.
- 3+ years in technology strategy, solution architecture, or advanced-analytics consulting with exposure to GenAI or AI/ML projects.
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