Senior Business Analyst, AI & Automation

Babylist is the leading registry, e-commerce, and content platform for growing families. They are seeking a Senior Business Analyst, AI & Automation to help define operational workflows and evolve them through AI and intelligent automation, focusing on understanding and structuring real-world processes for AI readiness.

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

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
• Experience working 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
• Ability to 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