Managing Director, Client Data Engineering

Evolent

9d•$175,000 - $185,000•Remote

About The Position

The Managing Director of Client Data Engineering leads the engineering organization responsible for client data ingestion, transformation, validation, exchange, and extraction capabilities that support Evolent’s client implementations, production operations, and strategic platform evolution. This role leads distributed engineering teams across domains such as provider, member, authorization, claims, and EAS-related client data flows, while partnering closely with Product, Implementation, Operations, Architecture, and business stakeholders to deliver reliable, scalable, and client-centered solutions. This leader is accountable for ensuring client implementations are delivered on time, production support remains strong, and client satisfaction stays high. The role requires close partnership with Product and direct engagement with clients to refine requirements, clarify scope, identify risks early, and ensure support requests are sized and prioritized appropriately. The Managing Director also helps shape the transition from legacy integration patterns toward more modern, standardized, and scalable data exchange platforms.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field; 15+ years of experience in software engineering, data engineering, or healthcare data integration, including 7+ years in senior leadership roles managing distributed engineering organizations.
Demonstrated success leading large-scale client-facing engineering or data integration organizations responsible for implementations, production support, and strategic platform evolution.
Strong technical background in healthcare data integration, data pipelines, interface design, and enterprise software delivery, including experience with modern cloud platforms such as Azure, AWS, or GCP.
Deep experience working with healthcare data exchange patterns and technologies, including file-based integrations, EDI/X12 transaction flows, and related operational support models; familiarity with FHIR and modern interoperability approaches is strongly preferred.
Proven ability to partner effectively with Product and business stakeholders to improve requirements, prioritize investments, manage tradeoffs, and translate business needs into executable engineering plans.
Experience working directly with clients or client-facing teams to refine requirements, manage delivery expectations, resolve escalations, and maintain strong customer satisfaction.
Demonstrated success improving implementation delivery, operational stability, and engineering maturity through better processes, metrics, quality practices, and organizational clarity.
Strong leadership experience developing managers and senior technical leaders while building high-performing, accountable, and collaborative teams.
Excellent communication and interpersonal skills, with the ability to influence executives, collaborate across organizations, and represent engineering effectively with both internal and external stakeholders.
Strong business acumen with the ability to balance strategic modernization goals with near-term client commitments, operational needs, and delivery timelines.

Nice To Haves

Familiarity with FHIR and modern interoperability approaches is strongly preferred.

Responsibilities

Develop and execute the strategic vision for Client Data Engineering, aligning technical investments and delivery priorities with business goals, client commitments, and product strategy.
Lead the engineering teams responsible for client data ingestion, outbound data delivery, interface development, implementation support, and production support across provider, member, authorization, claims, and related client data domains.
Partner closely with Product leadership to refine business and client requirements, improve requirement quality, and ensure engineering teams receive clear, actionable, and appropriately scoped work.
Work directly with clients, implementation teams, and internal stakeholders to clarify technical requirements, identify risks and dependencies early, and scope client support requests so implementations happen on time and client satisfaction remains high.
Drive successful client implementations by improving data readiness, validation practices, delivery predictability, and coordination across engineering, product, implementation, and operations teams.
Establish clear ownership, operating models, and engagement patterns for Client Data Engineering teams so internal partners know how to engage the organization effectively and critical work is routed to the right teams.
Lead the modernization of client data exchange capabilities, including migration of legacy interfaces and EDI-related workflows to more standardized, maintainable, and scalable platforms and patterns.
Provide strategic direction for healthcare data integration capabilities, including EDI/X12 transactions, client-specific file interfaces, data movement across operational platforms, and evolving interoperability approaches such as FHIR-enabled architectures where appropriate.
Ensure strong governance of software engineering and data engineering practices across the organization, including design, testing, release management, production readiness, support processes, and operational accountability.
Monitor and improve delivery, quality, and operational performance through the use of metrics, service health indicators, implementation outcomes, and continuous improvement practices.
Build strong cross-functional relationships with Product, Client Delivery, Implementation, Operations, Architecture, Infrastructure, and other Engineering teams to resolve issues quickly and deliver value-driven solutions.
Lead and mentor directors, senior directors, managers, and technical leaders within Client Data Engineering, building a culture of accountability, collaboration, technical excellence, and customer focus.
Drive organizational planning, staffing, and talent development for a geographically distributed team, including contractor and vendor strategy where needed to support business priorities.
Represent Client Data Engineering in executive discussions and broader organizational planning, communicating priorities, risks, dependencies, progress, and strategic recommendations effectively.