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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata modelingdata product designSQLETLELTcloud data platformscloud data warehousingdata ingestiondata transformation

Soft Skills

leadershipcommunicationcollaborationmentoringclient engagementrequirement gatheringtechnical documentationsolutioningbusiness developmentorganizational skills

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in EngineeringBachelor’s degree in Analytics