Business Analyst / Consultant

Responsibilities

• Strategy & Advisory
• Partner with business and technology leaders to shape the automation and agentic AI strategy and roadmap.
• Advise on where automation, AI, and data agents create the most value, and how to sequence investments for impact.
• Bring an outside-in, tool-agnostic perspective on emerging capabilities and how they apply to the business.
• Discovery & Pipeline Ownership
• Lead end-to-end discovery sessions with SMEs across diverse business units.
• Procure and maintain a high-quality automation pipeline for RPA, low-code, reporting, AI solutions, etc.
• Evaluate process complexity, feasibility, and ROI for each opportunity.
• Identify, assess, and document automation opportunities aligned to business goals.
• Process Improvement
• Analyze and map current-state processes through interviews, walkthroughs, and documentation review.
• Identify process inefficiencies and propose optimization or standardization improvements.
• Challenge outdated assumptions and guide teams toward leaner, more scalable processes.
• Stakeholder Engagement & Communication
• Clearly explain what automation is, when it should be applied, and which technologies are best suited.
• Facilitate workshops, interviews, and alignment sessions with business and technical partners.
• Communicate findings, recommendations, and next steps in a simple, structured, and compelling way.
• Requirements Gathering & Hand-Off
• Translate optimized processes into clear business requirements.
• Partner closely with delivery leads and developers to ensure smooth transition into definition and design.
• Support creation of documentation such as PDDs, opportunity assessments, and prioritization artifacts.

Qualifications & Experience

• 2+ years of experience in Strategy, Business analysis or Project management
• Background in Agentic AI, automation, RPA, low-code, consulting, or systems/process analysis
• Strong understanding of automation concepts, capabilities, and solution types
• Ability to think through process logic, decision points, and exceptions
• Comfortable identifying feasibility constraints and key risk areas
• Strong business analysis skills — able to gather requirements, structure ambiguity, and drive alignment
• Comfortable identifying feasibility constraints and key risk areas
• Tool-agnostic mindset
• Consulting or client-facing advisory experience
• Nice to have:
• Experience with UiPath, Blue Prism, or similar RPA technologies
• Hands-on exposure to agentic data platforms such as Microsoft AI Foundry, Snowflake Cortex, or Databricks Agent Builder (or comparable data/agentic AI technologies)
• Understanding of how data agents, RAG, and LLM-based solutions are designed, governed, and deployed in an enterprise setting
• Experience assessing opportunities for AI agents and intelligent automation, not just traditional RPA