Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: Lead technical delivery for complex healthcare data and analytics initiatives, providing day-to-day direction to data engineers, analysts, and other technical team members. Manage technical workplans, priorities, dependencies, risks, and deliverables to keep workstreams on schedule and aligned with project objectives. Serve as a bridge between business and technical teams, translating business requirements and data needs into actionable technical requirements and solutions. Lead the ingestion, mapping, transformation, validation, and integration of complex healthcare data, including claims, eligibility, enrollment, payment, and other administrative data, from multiple sources. Guide the design and development of scalable data pipelines and analytics solutions using Databricks, Python, SQL, and modern data engineering practices. Work directly with client and external stakeholders to understand data structures, business rules, data-quality issues, and technical constraints and drive issues through resolution. Oversee data validation and quality-control processes to assess completeness, accuracy, consistency, and readiness for downstream analytics. Lead technical requirements and solutioning discussions and communicate technical approaches, risks, issues, and recommendations clearly to technical and non-technical audiences. Provide hands-on troubleshooting and technical guidance when needed while maintaining ownership of overall team delivery. Identify opportunities to improve data engineering processes, automation, maintainability, and scalability. What You Will Need: Bachelor’s degree (Relevant experience may be substituted for formal education or advanced degree) Minimum of FIVE (5) years of experience, preferably within healthcare or the public sector. Experience working with large, complex datasets and translating business requirements into technical solutions. Excellent written and verbal communication skills, including experience working directly with clients and communicating complex technical concepts to non-technical audiences. Strong problem-solving skills and demonstrated ability to lead teams through complex technical and data issues. Ability to manage multiple priorities, stakeholders, dependencies, and deadlines in a fast-paced environment. Experience working with healthcare data, health IT, or healthcare analytics. What Would Be Nice To Have: Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field, or equivalent relevant experience. Previous experience supporting Centers for Medicare & Medicaid Services (CMS) programs, systems, or data. 7+ years of experience delivering data, analytics, technology, or related technical solutions, preferably within healthcare or the public sector. 3+ years of experience leading technical teams or technical delivery, including responsibility for work planning, delivery management, issue resolution, and coordination across multiple stakeholders. Demonstrated technical project management experience delivering complex data, analytics, or technology initiatives. Strong experience with data engineering, including data ingestion, ETL/ELT, transformation, data mapping, data validation, and data quality. Hands-on experience with Databricks, Python, and SQL, or demonstrated experience leading teams delivering solutions using these technologies. Experience working with state government health programs, including Medicaid, State-based Exchanges (SBE), or other health and human services programs. Experience with healthcare claims, eligibility, enrollment, payment, or other administrative healthcare data. Experience designing or delivering solutions using Databricks Lakehouse/Medallion architecture, Delta Lake, or comparable cloud data platforms. Experience modernizing legacy data or analytics environments, including migration from SAS or other legacy technologies to Python, SQL, or Databricks. Understanding of data normalization, automated validation, configurable business rules, and data-quality frameworks. Experience working in Agile delivery environments and coordinating across engineering, analytics, functional, and project management teams. Experience supporting federal technology or data programs with security, privacy, and data-governance requirements. The annual salary range for this position is $130,000.00-$216,000.00. 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 About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com

Health Data Engineering Lead.

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