Technical Product Manager – AI Platform, Interoperability & & Revenue Cycle Data

Overview

Technical Product Manager to drive the development of core capabilities for an AI-first healthcare data platform, covering clinical and revenue cycle data ingestion, canonical modeling, temporal processing and AI-ready pipelines.

What you'll do

• Define and deliver scalable ingestion pipelines for clinical and administrative data: HL7 v2, X12 EDI transactions (837, 835, 270/271, 276/277, 278), claims and remittance feeds, flat files, and FHIR R4 APIs where applicable.
• Drive integration with interoperability platforms (e.g., Redox, Mirth) and with EHR, practice management, and clearinghouse systems.
• Ensure high data quality, schema validation, and fault-tolerant ingestion.
• Own the platform capabilities that support RCM workflows across patient access, mid-cycle, and back end: eligibility and benefits, prior authorization, charge capture, coding, claims submission, denials, and payment posting.
• Link clinical documentation and encounters to charges, claims, and remittances to create a complete view from encounter to payment.
• Enable data foundations for AI use cases such as denial prediction and prevention, coding and documentation gap detection, under-payment identification, and prior authorization automation.
• Partner with RCM operations, coding, and finance stakeholders to turn revenue cycle pain points into platform requirements.
• Own the design and evolution of a canonical data model across clinical domains (encounters, medications, labs, notes) and financial domains (charges, claims, remittances, payers, contracts).
• Define mapping frameworks for clinical and billing terminologies and coding systems (ICD-10-CM/PCS, CPT, HCPCS, DRG, CARC/RARC, SNOMED, LOINC, RxNorm).
• Ensure consistent representation of structured and semi-structured data, aligned with industry standards (including FHIR resources where appropriate).
• Define systems for event-driven and batch data processing pipelines.
• Drive temporal alignment of clinical and financial events to support longitudinal patient views and claim lifecycle tracking.
• Partner with engineering to implement scalable workflows using orchestration frameworks (e.g., Temporal).
• Define APIs for data ingestion and transformation, access to normalized patient, encounter, and claims data, and downstream consumption for analytics, RCM applications, and AI use cases.
• Ensure high performance, scalability, and reliability of platform services.
• Enable data pipelines that support clinical decision support, patient summaries, recommendation systems, and revenue cycle automation and financial insights.
• Collaborate with AI/ML teams to ensure data is structured, contextualized, and usable for model development.
• Translate platform vision into a clear product backlog (epics, user stories, acceptance criteria).
• Prioritize and sequence work across ingestion, processing, RCM data capabilities, and platform services.
• Drive execution with engineering teams from 0 → 1 → scale.
• Track success through platform reliability, performance, and downstream clinical and financial impact.

What you'll need

• 5–8+ years of product management experience in a technical domain.
• Strong experience building platforms, APIs, or data infrastructure products.
• Ability to work deeply with engineers on architecture, system design, and trade-offs.
• Proven track record of delivering scalable systems from concept to production.
• Hands-on experience building products or data platforms for healthcare RCM (provider, payer, or RCM vendor side).
• Solid understanding of the end-to-end revenue cycle: registration and eligibility, prior authorization, charge capture, coding, claims, denials management, and payment posting.
• Working knowledge of X12 EDI transactions (837, 835, 270/271, 276/277) and clearinghouse workflows.
• Familiarity with billing code sets and payer concepts (CPT, HCPCS, ICD-10, DRG, CARC/RARC, payer contracts, and fee schedules).
• Strong understanding of data modeling and schema design, ETL / ELT pipelines, and batch and streaming architectures.
• Experience working with PostgreSQL or similar relational databases.
• Builder mindset: AI-first, AI-fast approach to product development, strong ownership and bias for execution, comfortable operating in ambiguity, deep curiosity and willingness to engage at technical depth, outcome-driven mindset.

Nice to have

• Experience with HL7 v2 messaging and healthcare data exchange.
• Working knowledge of FHIR R4 resources and APIs, including financial resources such as Claim, Explanation of Benefit, and Coverage (deep FHIR implementation expertise is a plus, not a requirement).
• Familiarity with interoperability engines (e.g., Redox, Mirth, Rhapsody).
• Understanding of clinical data domains and how clinical documentation drives billing and reimbursement.
• Experience with workflow orchestration frameworks (e.g., Temporal).
• Graph databases (e.g., Neo4j, Amazon Neptune).
• Cloud platforms (Azure preferred, AWS acceptable).
• Distributed systems and event-driven architectures.
• Exposure to AI/ML or LLM-based systems, and understanding of structured and unstructured data pipelines, retrieval-augmented generation (RAG), and clinical summarization, recommendation systems, or RCM automation (e.g., denial prediction, autonomous coding).

Details

• Location: Bengaluru, Karnataka, India.