Guidehouse

Compensation

Full Description

Job Family: Technology Consulting Travel Required: Up to 50% Clearance Required: None 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 Responsibilities Data Architecture & Solution Design • Translate 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 Enablement • Lead 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 & Trust • Lead 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 & Collaboration • Lead 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 Building • Support 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: Education • Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or a related field. Experience • 7-10 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 design • SQL 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 Requirements • Travel up to 25-50% based on client and project needs What 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 responsible AI and governance principles, including transparency, explainability, and appropriate use in regulated environments (e.g., healthcare). The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: • Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Position may be eligible for a discretionary variable incentive bonus • Parental Leave and Adoption Assistance • 401(k) Retirement Plan • Basic Life & Supplemental Life • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts • Short-Term & Long-Term Disability • Student Loan PayDown • Tuition Reimbursement, Personal Development & Learning Opportunities • Skills Development & Certifications • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Emergency Back-Up Childcare Program • Mobility Stipend