Forward Deployed Engineer, Data Studio Revenue Cycle - Innovation_Delivery_Transformation

The 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.

About the role

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 requiring both deep technical skill and deep healthcare domain knowledge 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.

Responsibilities

• 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 (e.g., denial prevention, prior authorization automation, or AR follow-up) to 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, adapting and extending Deloitte's library of proven use cases or building greenfield solutions for client-specific problems (e.g., automating denial appeals or accelerating cash application), engineering toward durable, production-scale capabilities.
• Data readiness for agentic use cases: Define the data and context each agentic use case depends on, confirm the unified data foundation can support it, and partner with data engineering and client teams to close gaps—owning what the use case needs to work.
• Client enablement & value realization: Support client training, onboarding, and adoption activities, and stay engaged post-launch to 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.

Skills

• Genuine techno-functional profile: deep technical capability paired with deep healthcare domain fluency 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 judgment to take a working use case to production-grade deployment.
• Working knowledge of the retrieval and knowledge layer behind agentic systems—RAG pipelines, embeddings and vector stores, and knowledge graphs—including grounding use cases in large volumes of unstructured healthcare data (e.g., clinical notes, payer policies, contracts) alongside structured sources.
• Intellectual curiosity and a strong pull toward emerging trends, actively following how agentic frameworks, tooling, and techniques evolve, and quick to adopt new approaches.
• Client-facing credibility to translate technical tradeoffs and constraints into clear business decisions, carrying both technical and executive conversations within the same engagement.
• Judgment to size each engagement, recognizing when an agentic use case can be reused with light configuration, when it needs substantial extension, or when a client problem calls for building greenfield.
• Solid understanding of healthcare data and data standards relevant to revenue cycle (e.g., 837/835 claim and remittance transactions, denial and adjustment codes such as CARC/RARC, and DRG/CPT/HCPCS coding), with the ability to reason through data quality and business context.
• Comfort supporting commercial and sales-adjacent activities such as demos, use-case fit assessments, and solution qualification, alongside post-sale delivery and value realization work.
• 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 developing client-facing materials, leading technical discovery conversations, and working effectively across distributed teams and international time zones.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Health Informatics, or a related technical discipline.
• 4+ years of experience in software engineering, solution deployment, data engineering, or client-facing technical delivery roles.
• 2+ years of experience with SQL and/or Python.
• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred: Master's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.

Pay

The wage range for this role takes into account factors such as skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for geographic differentials. A reasonable estimate of the current range is $105,400–$207,800. You may also be eligible to participate in a discretionary annual incentive program, subject to program rules, where awards depend on individual and organizational performance.