Forward Deployed Engineer, Data Studio Revenue Cycle - Innovation_Delivery_Transformation

The Team

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

As a Forward Deployed Engineer within Converge for Healthcare, you will work directly with clients, Deloitte Consulting's broader Health Care consulting practice, and Converge for Healthcare's product and engineering teams. Together, you'll build out Data Studio's agentic use cases - starting from Deloitte's agentic and analytics platform and its unified healthcare data foundation - into production-scale capabilities in each client's environment, with a focus on revenue cycle: patient access, coding, billing, claims, denials, and accounts receivable.

This is a techno-functional role: it requires both deep technical skill and deep healthcare domain knowledge, brought together to adapt agentic capabilities to the specific workflows, data, and nuances of each client. You'll operate at the intersection of client delivery, applied engineering, and product feedback: engaging with clients and Health Care consulting teams both pre- and post-sale, and partnering with Converge for Healthcare's product and engineering teams to translate field learnings into reusable capabilities.

While revenue cycle is the primary focus, the role also draws on adjacent healthcare operations and payer dynamics as engagements require.

Recruiting for this position ends on 9/30/26.

• Presales & solution shaping. Partner with Health Care consulting teams and Converge for Healthcare's account and product teams during the sales cycle - running technical discovery, demonstrations, and use-case fit assessments - such as denial prevention, prior authorization automation, or AR follow-up - that qualify client needs and shape a credible path to production value.
• Agentic use case development. Work hand-in-hand with clients to build out agentic use cases on Data Studio - sometimes adapting and extending Deloitte's library of proven use cases, other times building greenfield to solve a client-specific problem - such as automating denial appeals or accelerating cash application - engineering toward durable, production-scale capabilities rather than one-off demonstrations.
• Data readiness for agentic use cases. Define the data and context each agentic use case depends on to perform reliably, confirm the unified data foundation can support it, and partner with data engineering and client teams to close any gaps - owning what the use case needs to work, not the underlying pipelines that feed the foundation.
• Client enablement & value realization. Support client training, onboarding, and adoption activities, and stay engaged post-launch to help identify expansion opportunities grounded in real usage.
• Field-to-product feedback. Capture recurring client needs, data patterns, and delivery learnings, and translate them into concrete agentic capability requests and reusable extensions for product and engineering teams.

The successful candidate would possess these skills:

• Genuine techno-functional profile - deep technical capability paired with deep healthcare domain fluency, applying both together to adapt agentic solutions to real client workflows
• Strong revenue cycle domain knowledge - spanning patient access, charge capture, coding, claims submission, denials management, and accounts receivable - with an understanding of how RCM performance drives provider financial outcomes
• Strong hands-on engineering skills, including proficiency in Python and SQL and comfort working with APIs, data integration patterns, and cloud-based services (e.g., AWS) to build and deploy production-grade capabilities in client environments
• Hands-on experience designing, adapting, or hardening agentic workflows - multi-agent coordination, tool invocation, memory/state management - using modern agent frameworks, with the judgment to take a working use case to a production-grade client deployment
• Working knowledge of the…