AI Deployment Lead (Business Analyst, Enterprise)

Due diligence is still run on spreadsheets, PDFs and late nights. Dobs.AI is changing that with an end-to-end AI platform for financial due diligence. Our enterprise workstream is already live, and we're looking for a hands-on deployment lead to own it from week one. Own our enterprise client deployments: sit with client teams, understand how they work, turn that into structured specifications our build team can ship, and get the client using Dobs on live engagements. Key responsibilities: Own the day-to-day relationship with enterprise client teams on the current workstream Run discovery: map client workflows, report templates, and pain points Translate business needs into structured specifications: requirements, acceptance criteria, test cases, priority Configure and deploy AI workflows for clients and get them running on real engagements Track adoption and usage; turn client feedback into backlog items Work daily with the engineering team: unblock, test, sign off on releases Run client training sessions and demos What success looks like in the first 6 to 12 months: The client runs Dobs on live engagements with minimal hand-holding from our team Specifications are clear enough that engineers build without rework A repeatable deployment playbook exists for the next enterprise client The client's partners see this person as their trusted point of contact Required experience and skills: 3+ years in top-tier management consulting (Associate or Senior Associate level) or equivalent experience in transaction advisory or product roles Works standalone: takes an ambiguous problem, structures it, and drives it to an answer without supervision Strong client presence with senior stakeholders (partners, Chief Financial Officers) Structured writer: turns a messy conversation into a clean specification Proficient in Excel and comfortable with financial statements Heavy, practical user of AI models: has built workflows, prompts, or agents for real work, rather than just asking what to wear tomorrow or how many r's are in "strawberry" Considered a plus: Exposure to finance, accounting, or due diligence Some technical depth: SQL, Python, APIs, or no-code automation tools Product management or implementation experience in business software Reporting to: HeadofProduct (CEO+1) Additionalcontext: The enterprise workstream is already live, so this person needs to be productive from week one The role combines the work of a consultant, a product manager, and a deployment engineer #J-18808-Ljbffr Dobs AI, Inc.