Forward Deployed Domain Practitioners (FDDPs) – Healthcare Domain - Product Manager II

Forward Deployed Domain Practitioners (FDDPs) – Healthcare Domain

About the Role

The Team

This role sits within Converge for Healthcare, Deloitte's industry-focused asset studio for healthcare, part of Deloitte Consulting's Innovation & Delivery Transformation (I&DT) practice. I&DT brings an engineering- and innovation-led mindset to how Deloitte builds, delivers, and scales technology-enabled solutions.

Data Studio is Converge for Healthcare's foundational platform—combining agentic AI and analytics capabilities atop a unified healthcare data foundation to turn healthcare data into decision-ready insight and automated action across the Converge for Healthcare product portfolio.

Forward Deployed Domain Practitioners are the business and domain half of Converge for Healthcare's Forward Deployed model. Where Product Forward Deployed Engineers (pFDEs) cover product and technology, FDDPs cover business and domain—partnering with pFDEs, client account teams, and product teams to define the real client problem, prove measurable value, and identify where the platform can deliver more, feeding real-world domain learnings back into the platform roadmap.

Position Summary

As a Forward Deployed Domain Practitioner within Converge for Healthcare, you will work directly with clients, Deloitte Consulting's broader Health Care consulting practice, and Converge Health's product and engineering teams. Paired with a pFDE on each engagement, you'll bring the client-domain fluency that shapes what gets built on Data Studio and why—defining the business problem and success criteria, aligning client stakeholders on what value means, and translating real operational workflows into the requirements, rules, and edge cases the pFDE builds against.

This is a domain-led, business-facing role grounded in production reality rather than abstract requirements. You'll work alongside real users, real workflows, and real data, on engagements that are scoped, time-boxed, and exit-oriented—leaving behind documented domain artifacts and reusable patterns so that each deployment makes the next one materially faster.

The role draws on healthcare breadth rather than a single specialty, spanning provider and payer domains—from revenue cycle, utilization management, and clinical operations to network strategy, risk adjustment, actuarial, and beyond.

Key Responsibilities

Work You'll Do

•       Presales & opportunity shaping: Partner with Health Care consulting teams, account teams, and pFDEs during the sales cycle—leading business discovery, mapping current-state workflows, and building the value hypothesis and business case, while the pFDE leads technical discovery and demonstrations, to qualify client needs into Product fit or out to Services as custom scope.

•       Business problem definition & success criteria: Frame each use case around a concrete operational problem, establish baseline performance, and define measurable outcomes the client and Deloitte agree on (e.g., denial rates, days in A/R, prior authorization turnaround, coding accuracy, care-gap closure).

•       Domain-to-build translation: Translate business needs into the workflow logic, decision rules, policy references, exceptions, and acceptance criteria the pFDE builds against—and contribute domain-accurate, labelled test cases to the use case's evaluation set so agent outputs are judged against how the work is actually done.

•       Use case discovery beyond the original ask: Surface adjacent, domain-specific use cases grounded in what you observe in the client's workflows and data, size their value, and route them through engagement governance and the product roadmap—never through informal commitments on features or timelines.

•       Stakeholder alignment & adoption: Build alignment among client executives, operational leaders, and front-line users on what value means for the engagement, and lead the process change, training, and adoption activities that turn a working capability into one people actually use.

•       Value realization & measurement: Stay engaged post-launch to track outcomes against the agreed baseline, diagnose where value is or isn't landing, and develop the evidence and client value stories that support adoption, renewal, and platform growth.

•       Field-to-product feedback & reusable domain assets: Capture recurring domain patterns, workflow variations, and policy or regulatory shifts, translate them into concrete use-case and capability requests for Product Managers, and codify them into reusable domain playbooks, value frameworks, and use-case definitions for the next client.

Qualifications

Required

•       8+ years of experience in healthcare consulting, provider or payer operations, or a domain-specialist role in healthcare technology

•       4+ years of client-facing experience leading business discovery, process redesign, or business case development

•       Comfortable client-facing, including product demos and discovery with senior stakeholders

•       Based in India, able to work virtually with US stakeholders on US-market direction and its nuances

Preferred

•       Master's degree in Healthcare Administration, Business, Public Health, Health Informatics, Nursing or another clinical discipline, such as an MBA, MHA, or MPH, or another relevant advanced degree

•       Relevant professional credentials (e.g., HFMA CRCR or CHFP, AAPC or AHIMA coding certifications, clinical licensure such as RN, or SOA actuarial credentials)

•       Experience with AI, automation, or advanced analytics implementations in a healthcare setting

•       Experience in product- or platform-based delivery models, as distinct from purely services-based delivery

Core Competencies

•       Domain-first profile—deep healthcare business and operational expertise paired with enough technical fluency to partner credibly with engineers on agentic AI and data solutions

•       Strong healthcare domain knowledge spanning provider and/or payer domains—such as revenue cycle, utilization management, care management, clinical operations, network strategy, risk adjustment, or actuarial—with the versatility to apply it across multiple areas rather than a single specialty

•       Proven ability to diagnose operational workflows, quantify improvement opportunities, and build credible business cases and ROI models that client executives act on

•       Practical understanding of what agentic AI can and cannot do reliably—human-in-the-loop design, accuracy-versus-automation trade-offs, and how to judge agent outputs for domain correctness—without needing to write code

•       Working knowledge of healthcare data and data standards (e.g., claims, remittances, EMR data, X12 EDI, HL7, FHIR) at a business level—what the data means, where it breaks, and how data quality affects business outcomes

•       Fluency in the regulatory and policy landscape that shapes healthcare workflows—such as CMS rules, payer medical and reimbursement policies, coding standards (ICD-10, CPT, HCPCS), prior authorization requirements, and HIPAA

•       Strong requirements and process skills—process mapping, decision tables, use-case definition, and acceptance criteria that engineers can build and test against

•       Judgment to size each engagement—recognizing when a client problem maps to a proven use case, when it needs meaningful extension, and when it is custom scope better served by Services

•       Commercial instinct grounded in client value—spotting where the platform can do more for a client and framing it in outcome terms, while respecting engagement governance and the product roadmap

•       Change management and adoption experience, including redesigning roles and workflows around automation and bringing front-line teams along

•       Intellectual curiosity about how AI is changing the way healthcare work gets done, and a strong pull toward rethinking workflows rather than automating them as they are

•       Executive presence and client-facing credibility to lead business conversations with senior stakeholders while working fluidly with engineering and product teams in the same engagement

•       Ability to build trust and durable working relationships quickly with client stakeholders and account teams in predominantly virtual and distributed delivery environments

•       Excellent written and verbal communication skills, including the ability to develop client-facing materials and business cases, lead discovery workshops, and work effectively across distributed teams and international time zones