Senior Business Analyst, AI & Automation
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BabylistE-commerce
Babylist is remote-first with team members across the U.S. and CanadaFull-TimeSenior
Salary147,325 - 176,790 USD per year
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Job Details
- Experience
- 8+ years in business analysis, process improvement, or systems design
- Required Skills
- Artificial IntelligenceBusiness AnalysisProcess improvementPrompt Engineering
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
- Understand 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
- 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 you 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
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