Ai Business Analyst
hace 4 días
- Business Partnership & Discovery - Partner with Business Unit leaders and end users to understand workflows, pain points, and opportunities for AI agents and automation. · Facilitate discovery sessions to define success criteria, value hypotheses, functional requirements, and adoption plans. · Translate business needs into clear user stories, process maps, and solution designs.
- Agent & Automation Development (Glean + Workato) · Configure and implement AI agents in Glean, including intents, knowledge sources, guardrails, escalation paths, and user experiences. · Build, test, and maintain Workato recipes to automate business processes and orchestrate integrations across systems. · Develop reusable components (templates, standards, connectors, patterns) to accelerate delivery and ensure consistency. · Implement error handling, monitoring, logging, and alerting for reliability and operational support.
- Data, Knowledge, and Enablement · Partner with system owners and content stewards to improve knowledge quality, data accessibility, and source-of-truth alignment for agent performance. · Support content curation and indexing strategies to improve retrieval quality and reduce hallucinations or incorrect actions. · Create user documentation, runbooks, and enablement materials to drive adoption and self-service where appropriate.
- Governance, Security, and Compliance · Collaborate with IT & Infosec to implement role-based access, data handling standards, and secure-by-design practices for agents and automations. · Ensure solutions adhere to company policies for privacy, security, auditability, and change management. · Assist with risk reviews and participate in testing/validation of agent behaviors, including safe actions and escalation for sensitive tasks.
- Measurement & Continuous Improvement · Define and track KPIs such as time saved, cycle-time reduction, error-rate reduction, agent containment, and user satisfaction. · Analyze performance and usage data to recommend improvements and prioritize enhancements. · Maintain a backlog of opportunities and continuously identify additional high-impact use cases.
- 2+ years of experience in business process analysis, operations analysis, IT systems analysis, or automation delivery.
- Demonstrated experience delivering workflow automations and/or integrations (iPaaS experience strongly preferred).
- Strong requirements gathering, documentation, and stakeholder management skills, with the ability to communicate across technical and non-technical audiences.
- Working knowledge of APIs, SaaS systems, data flows, and integration concepts (auth, webhooks, JSON, error handling).
- Practical understanding of LLM/AI concepts (prompting, retrieval, grounding, guardrails, evaluation) and how they apply to business workflows.
- High attention to detail, strong judgment, and an ownership mindset.
- PREFERRED QUALIFICATIONS
· Experience with Workato (recipes, connectors, triggers/actions, environments, deployment practices).
· Experience with Glean (knowledge sources, search/assistant experiences, agents, governance).
· Familiarity with enterprise SaaS commonly used in business operations (ERP, HRIS, ITSM, CRM, Finance systems).
· Experience with change management, training, and adoption strategies for new tools/processes.
· Exposure to security and compliance practices for automation (least privilege, audit logging, data classification).
Core Competencies - · Process thinking: ability to map workflows, identify bottlenecks, and design improvements.
- · Systems thinking: ability to understand end-to-end integrations and downstream impacts.
- · Customer orientation: strong empathy for end users and focus on measurable value.
- · Analytical rigor: ability to evaluate outcomes, monitor performance, and iterate.
- · Clear communication: concise documentation and structured updates to stakeholders. Working Relationships
- · Business Unit Leaders and SMEs (Finance, HR, Sales, Marketing, Customer Success, Product, etc.)
- · IT & Infosec (governance, access controls, risk review, change management)
- · Application Owners / System Administrators (source systems, data quality, integrations)
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