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 GuidehouseGuidehouse 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.
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