Job Description:
• Lead the design and delivery of modern healthcare data platforms that enable trusted analytics and advanced analytics use cases.
• 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.
• 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).
• 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.
• 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.
• 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).
Requirements:
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or a related field.
• 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.
Benefits:
• 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