Position Overview
Key Responsibilities:
- Lead workshops with stakeholders to document processes, pain points, user stories, functional specs, acceptance criteria.
- Perform feasibility analysis for AI/ML, automation, decisioning, workflow optimization.
- Develop process maps (BPMN), system flows, data lineage, integration docs.
- Translate business requirements into technical specs: APIs, data flows, validation rules, model inputs/outputs.
- Analyze apps, databases, integrations, AWS environments for solution design.
- Collaborate with architects, developers, data scientists, engineers on requirements interpretation.
- Define data needs, metrics, rules, validation logic, AI/ML model behavior with teams.
- Lead AI pilots/POCs: define metrics, track outcomes, document lessons for scale-up.
- Conduct root cause analysis; recommend improvements for accuracy, efficiency, co...