Forward Deployed AI-Enabled Analyst

Core Responsibilities

• Partner with product leadership and embedded client stakeholders to shape the analytics product roadmap for each engagement.
• Co-develop the value narrative for analytics products targeted at payers, providers, adjusters, and internal leadership audiences.
• Identify the high-impact clinical and operational metrics that anchor each product, including outcomes benchmarking, utilization trends, authorization efficiency, denial root cause, referral leakage, and network performance.
• Translate ambiguous business and clinical questions into product hypotheses, measurable KPIs, and prioritized backlog items.
• Conduct discovery with client and internal stakeholders to surface data gaps, unmet reporting needs, and emerging insight opportunities.
• Prioritize product initiatives using a structured framework aligned to platform roadmap and the client's strategic objectives.

Requirements Translation and Technical Specification

• Partner with product leadership to refine business requirements gathered from client engagements into actionable technical artifacts.
• Translate high-level requirements and metrics from PRDs into detailed technical specifications that engineering can build against on first review.
• Research and interpret requirements from regulatory bodies, including CMS, AHRQ, NCQA, and specialty registries, and embed them accurately into product builds.
• Document technical requirements with the precision that engineering teams need to estimate, build, test, and ship without ambiguity.
• Maintain requirements traceability from client problem statement through PRD, spec, build, and validation.

Data Modeling and Engineering Collaboration

• Produce data product specifications that data engineering can build directly against, including entity definitions, grain, lineage, and business rules.
• Collaborate with data engineering to validate model design, identify source system mappings, and define data quality requirements.
• Define...