Senior Business Analyst, AI & Automation

Babylist

18h • Remote

About The Position

Babylist is looking for a Senior Business Analyst, AI & Automation to help define how we operate today — and how we evolve through AI agents, LLM-powered workflows, and intelligent automation. This is a true 0→1 role at a company leaning fully into what AI makes possible. Every team already uses tools like Claude daily, and this role helps turn that into durable, system-level workflows.

Your focus is understanding how work actually gets done. Where decisions happen. Where things break down. Where time is spent on work that shouldn’t require human effort. You’ll take messy, real-world processes and turn them into structured, AI-ready specifications — the kind that LLM-powered systems and agents can reliably execute.

This is not a role where you inherit clean systems or operate at a distance. You’ll be dropped into ambiguous workflows across the business and expected to create clarity from scratch. If you prefer working from existing documentation or staying at a high level, this will be a tough fit. If you like asking hard questions, mapping reality (not theory), and turning it into something buildable, you’ll thrive here.

Requirements

• 8+ years in business analysis, process improvement, or systems design, with a track record of leading end-to-end process discovery across multiple business functions
• Deep experience translating ambiguous, real-world workflows into structured artifacts (BRDs, process maps, or equivalent) that both business stakeholders and technical teams can act on
• Worked on AI or automation-driven initiatives, with a clear understanding of where LLMs are effective, where they break, and how to design around those constraints
• Hands-on experience with LLM platforms or AI tools (Claude, OpenAI, Gemini, or similar) and understand how to use them to explore, test, and refine workflows
• Familiarity with prompt engineering concepts, including structuring inputs, controlling outputs, and designing for consistency in LLM behavior
• Understanding of how AI systems operate in production, including RAG (retrieval-augmented generation), tool/function calling, or multi-agent workflows, at a practical level
• Experience defining decision logic, exception handling, and edge cases in a way that holds up beyond ideal scenarios
• Written or contributed to evaluation frameworks (evals) for AI-powered workflows, including defining what “good” looks like and how to measure model performance
• Strong cross-functional partner, comfortable going deep with business teams to understand how they actually work and translating that into clear, buildable specifications
• Communicate with clarity and structure, producing artifacts that drive decisions — not just documentation that sits unused
• Comfortable operating in ambiguous, fast-moving environments, where you’re expected to create structure rather than follow it
• Genuinely excited about what AI can do — and actively use it in your work to explore problems, test ideas, and improve how workflows are designed

Responsibilities

• Lead end-to-end process discovery across key business areas, uncovering how work actually happens and where AI-driven automation creates the most leverage
• Design and document current- and future-state workflows that clearly define intent, decision points, and system behavior in formats both humans and AI agents can act on
• Identify and prioritize AI and automation opportunities based on business impact, data availability, and operational constraints
• Define AI-ready process specifications, including intents, decision logic, context design, tool definitions, retrieval strategies, human-in-the-loop steps, escalation paths, and guardrails
• Translate process insights into clear, structured artifacts (process flows, BRDs, prompt specs, analysis summaries) that stakeholders can align on and engineering can build from
• Partner closely with the AI enablement team and engineering to align process design with system architecture, model constraints, and data quality requirements
• Establish success metrics for AI-powered workflows, including evaluation frameworks, observability requirements, and Responsible AI considerations
• Support UAT readiness and rollout, ensuring workflows account for real-world edge cases, failure modes, and user behavior
• Drive continuous improvement by incorporating operational feedback, user corrections, and model performance signals to refine workflows and prompts over time

Benefits

• Competitive pay and meaningful opportunities for career advancement
• Competitive salary with equity and bonus opportunities
• Company-paid medical, dental, and vision insurance
• Retirement savings plan with company matching and flexible spending accounts
• Generous paid parental leave and PTO
• Remote work stipend to set up your office
• Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed