Client Solutions Analyst
Bridge enterprise clients and technical teams to power FactualIQ’s Decision Engine. Model decision processes, define measurable success criteria, and translate complex business workflows into AI-enabled solutions that accelerate enterprise decision-making.
About the Role
As a Client Solutions Analyst, you are FactualIQ’s hands-on builder during the proof-of-concept phase. You work directly with clients to model their decision processes, define success criteria, and develop working prototypes that prove technical and business feasibility. During the POC phase, you own the build end-to-end: taxonomy design, prompt design, RAG architecture, data assessment, and solution evaluation. You also support a strong client relationship — explaining what you’re building, managing expectations, schedules, communication, and translating client feedback into the next iteration.
You’ll work alongside our Product Manager and AI/ML engineers on production hardening once a prototype is validated, and you’ll contribute to building FactualIQ’s reusable delivery patterns as we scale our engagement portfolio.
What You’ll Do
Decision Discovery & Analysis
- Drive decision discovery with clients: document decision processes, constraints, data inputs, and objectives. Then build. Design and iterate LLM-based prototypes — including RAG workflows using tools like Claude Code, Python, and SQL. You’ll assess data quality and availability, structure retrieval, engineer and refine prompts, evaluate outputs, and iterate against real client data.
Requirements & Solution Support
- Translate decision requirements into conceptual solution designs, user stories, and measurable acceptance criteria. Support business QA and user acceptance testing at handoff. Track solution performance against defined success metrics through early adoption, providing structured analysis back to the client and the internal team.
Client Communication & Cross-Team Collaboration
- Serve as the client-facing partner from kickoff through prototype delivery. Provide clear, honest progress updates, manage scope expectations, and surface blockers early. Collaborate with solutions engineers and practice leaders during production hardening. Capture solution patterns, decision models, and lessons learned to build FactualIQ’s delivery knowledge base and strengthen our operating model.
What You’ll Bring
- 2+ years delivering AI or analytics engagements at a consulting firm, technology implementation practice, or AI/ML professional services organization — with direct accountability for client outcomes, not just requirements capture.
- Demonstrated ability to develop LLM or RAG-based prototypes independently, including prompt design, retrieval setup, and evaluation against real-world data.
- Proficiency in Python, comfort querying and wrangling structured and semi-structured data as a routine part of the work.
- Familiarity with enterprise AI tooling — Claude Code, OpenAI APIs, LangChain, vector databases, or equivalent.
- Experience translating ambiguous business problems into clear functional requirements and measurable success criteria.
- Direct client-facing experience in enterprise environments, including managing stakeholder communication and navigating complex organizational structures.
- Strong written and verbal communication skills across both technical and executive audiences.
What You Might Bring
- Background in management consulting, technology implementation, or an analytics-driven professional services organization, with experience owning client-facing delivery from kickoff through handoff.
- Experience with structured and unstructured data across construction, architecture and engineering, real estate, affordable housing, financial services, healthcare, or other enterprise verticals.
- Exposure to decision intelligence concepts such as decision modeling, confidence scoring, traceability from input data to recommendation.
- Horizontal industry range with the ability to recognize cross-sector decision patterns and adapt delivery approaches.
What WE VALUE
- A growth mindset, building on the recognition that a good professional is always learning.
- Creative, entrepreneurial flexibility to try innovative approaches to solving problems, coupled with the resilience to recognize mistakes quickly, adapt and correct course as needed to achieve success.
- Speed to solutions, with rapid, well-planned iterations.
- Design-forward approaches to building technology products, coupled with a test-heavy technique to ensure that both the problem to be solved and the solution context are clear and optimal before development begins.
- Transparent, frequent and constructive communication skills and practices.
- Low-ego collaboration, where feedback is valued, everyone’s voice is heard, debates and disagreements are used for the team’s benefit, and commitment matters.
- Mission alignment and care for delivering highest-standard quality to support our clients’ success.
Location
This is a fully remote role. We are hiring candidates based in Vancouver BC, Seattle, Chicago, Denver, or Dallas. Our team is established in Vancouver BC, Seattle, and Chicago, and we are expanding our footprint in Denver and Dallas. We value the ability to frequently come together in person for collaborative work sessions, and being in one of these markets keeps that easy.
TRAVEL REQUIREMENTS
This role may require periodic travel within the United States and Canada based on client needs and project phases, typically less than 25% annually.
Reporting
The role currently reports to FactualIQ’s Chief Strategy Officer. As we build out our client solutions team, the role will ultimately report to a Director of Client Solutions or Senior Product Manager.
Career progression from this role leads to a Senior Analyst or Product Manager, Client Solutions position