Managing Consultant – Data Architect (Commercial Health)

Job Family:Technology ConsultingTravel Required:Up to 50%Clearance Required:NoneGuidehouse’s Health IT Solutions team works with clients to measurably improve their technology outcomes through a mix of IT strategies, improvement in IT operations, and adoption of technology initiatives. By leveraging a deep understanding of health system IT operational best practices supported by data, Guidehouse propels IT operational improvement and technology adoption across departments and service lines at client organizations. What You Will Do:We are seeking a Data Architect to lead the design and delivery of modern healthcare data platforms that enable trusted analytics and advanced analytics use cases. This role is suited for a candidate with a data science background and proven data architecture and technical delivery leadership who is able to guide client and internal teams from problem framing through scalable implementation.Key ResponsibilitiesData Architecture & Solution DesignTranslate business and analytics requirements into implementable architecture designs in partnership with engineers, analysts, and data scientists.Design and deliver modern healthcare data architectures (e.g., data lake, lakehouse, cloud data warehouse) to support analytics, reporting, and AI/ML use cases.Develop data models supporting clinical, claims, operational, and financial analytics.Work in Azure and AWS environments to develop pipelines, data flows, data lakes and data lakehouses.Data Integration, Analytics & Advanced Analytics EnablementLead design and implementation of data ingestion and transformation pipelines, including batch and near‑real‑time integrations from EHRs, claims systems, and third‑party sources.Partner with analytics engineers and data scientists to ensure platforms support advanced analytics and machine learning workflows.Drive adoption of scalable, repeatable delivery patterns (e.g., curated datasets, shared metrics layers, standardized pipelines).Data Governance, Quality & TrustLead implementation of data governance capabilities, including metadata, lineage, classification, and access controls.Define and oversee data quality and certification approaches to ensure datasets are trusted and reusable.Ensure solutions align with healthcare privacy and compliance requirements, including HIPAA‑aligned handling and auditability.Client Engagement & CollaborationLead client workshops to gather requirements, review designs, and communicate technical concepts clearly.Develop client‑facing deliverables, including architecture diagrams, technical documentation, and implementation roadmaps.Collaborate across clinical, operational, and technical stakeholders.Practice BuildingSupport proposal development and business development activities (solutioning, estimating, content development, reusable assets).Build and maintain internal accelerators and templates (e.g., reference architectures, governance playbooks, data product patterns).Support development of data integration, interoperability, and data modernization solutions for Guidehouse leadership.Develop points of view in the space of data modernization and interoperability to support sales and delivery growth.What You Will Need:EducationBachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or a related field.Experience7-10 years of experience in data, analytics, or solution architecture roles, including experience in healthcare environments (payer, provider, life sciences, or health associations).Demonstrated experience leading technical delivery for data architecture or analytics programs in healthcare.Strong hands‑on knowledge of:Data architecture patterns (lakehouse/warehouse), data modeling, and data product designSQL and data transformation approaches (ETL/ELT)Cloud data platforms (Azure and/or AWS) and cloud data warehousing (e.g., Snowflake or equivalent)Ability to translate client objectives into clear, implementable technical approaches.Experience leading workstreams and mentoring team members in a consulting environment.Strong written and verbal communication skills.Travel RequirementsTravel up to 25–50% based on client and project needsWhat Would Be Nice To Have:Familiarity with healthcare interoperability standards (FHIR/HL7) and/or common healthcare data models (e.g., OMOP).Familiarity with emerging AI approaches and the ability to assess appropriate use based on client maturity.Experience leading or contributing to applied machine learning (ML) or advanced analytics solutions, including segmentation, prediction, forecasting, or pattern detection.Strong understanding of how ML and AI capabilities are enabled by modern data architectures, including curated data layers, feature readiness, and governance.Familiarity with the ML model development lifecycle, including problem framing, data preparation, model selection, validation, and performance monitoring (hands‑on model development a plus, but not required).Experience applying responsib