Required Skills

CDMP Cloud Data Architect Cloud AI Solutions Architect Snowflake architect

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 18th Oct 2024

JOB DETAIL

  • Strategic Data Leadership: Developing and implementing an overall organizational data strategy that is in line with business processes (healthcare and specifically in PBM and Pharmacy) Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system
  • Architecture Design: Lead the design and implementation of scalable and efficient data architectures that support advanced analytics, reporting, and machine learning applications. Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution
  • Collaboration with Stakeholders: Partner with executive leadership, enterprise architects, data scientists, analysts, and IT teams to understand data needs, provide architectural guidance, and ensure successful project execution.
  • Emerging Technology Assessment: Evaluate and recommend emerging technologies and tools that can enhance data architecture and analytics capabilities in healthcare.
  • Performance Metrics: Establish key performance indicators (KPIs) and metrics to evaluate product success and drive continuous improvement based on user feedback and data analysis.
  • Data Governance & Compliance: Establish and maintain data governance frameworks, ensuring compliance with regulations such as HIPAA, FedRAMP and HITRUST, while promoting data integrity, security, and quality.
  • Documentation and Standards: Develop comprehensive documentation of data architecture standards, best practices, and processes for internal teams.
  • Mentorship and Team Development: Mentor and guide data architects and data engineers, fostering a culture of continuous learning and innovation within the data team.

Company Information