Project Manager

Payor ( strong expertise is needed), Clinical, Claims, Member, Provider, EHR data models. Ability to self-direct, collaborate with analysts, scientists, IT, business leaders and develop solutions.

Hello ,
We need the profile for below request .
As requested, please find below the demand summary and skill grid for your review. Kindly modify or update as needed.
Ideal Candidate Profile:
The ideal
Data Architect
candidate will have
deep expertise in the healthcare payer domain , with strong knowledge of
interoperability standards
(FHIR, HL7, USCDI-US Core) and
cloud-native data architecture . Hands-on proficiency in
Databricks, Azure , and
data modeling (especially dimensional modeling)
is essential.
The candidate should be able to work
independently , collaborate effectively with
business teams and senior data architects , and develop scalable solutions.
Working mode:
This role follows a
hybrid model , requiring
3 days onsite in the Philadelphia (PHL) area .
Number of positions:
The initial requirement is for
two positions , with additional positions to be opened later.
Skill Grid:
Mandatory (must-have) skills are highlighted in yellow. The others are related areas and considered good-to-have tool skills.
Skill Area
JD Requirement
Details
Core Experience
Data Architecture
10+ years, preferably in healthcare; end-to-end data processing.
Healthcare Domain
Healthcare data expertise
Payor ( strong expertise is needed), Clinical, Claims, Member, Provider, EHR data models
Interoperability Standards
FHIR, HL7, USCDI-US Core
Experience with HEDIS, CMS interoperability, CCDs, HIE
Cloud Platforms
Azure
, AWS, GCP,
Databricks , Snowflake
5+ years designing/solutioning cloud data platforms.
Hands on Azure and Databricks are mandatory
Data Modeling
Dimensional modeling
Tools like Erwin; healthcare-specific requirements
Leadership
Collaboration
Independent thought leader
Ability to self-direct, collaborate with analysts, scientists, IT, business leaders and develop solutions.
Databases
SQL
NoSQL
Proficiency in SQL, NoSQL, PySpark, Python
Integration Tools
ADF, Databricks, Kafka, Informatica, IBM Datastage
Hands-on experience with modern ETL/ELT tools
Governance
Compliance
HIPAA, GDPR, Data Governance
Policies for integrity, quality, security, compliance
BI
Analytics
BI platforms
Understanding of BI/analytics platforms
Preferred Qualifications
Healthcare systems
large-scale data
5+ years managing large-scale healthcare data systems; Epic/Cerner experience is a plus