Role

• The Enterprise Data Architect proactively leads and supports software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
• This role will be responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams in alignment with architectural governance and standards
• The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy
• Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system
• 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
• Ability to analyze and optimize cloud costs.

Key Responsibilities

• Strategic Data Leadership: Define and drive the data architecture and AI strategy in alignment with organizational goals, focusing on data-driven decision-making and improving operational efficiency.
• Architecture Design: Lead the design and implementation of scalable and efficient data architectures that support advanced analytics, reporting, and machine learning applications.
• Integration Solutions: Oversee the development of data integration strategies, enabling seamless data flow across various healthcare systems, including RCMs, EHRs, Claims, Policy Admin and Billing systems, and analytics platforms.
• 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.
• 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 healthcare data architecture and analytics capabilities.
• Performance Metrics: Establish key performance indicators (KPIs) and metrics to evaluate product success and drive continuous improvement based on user feedback and data analysis.
• 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 engineers, fostering a culture of continuous learning and innovation within the data team.

Qualifications

• 15+ years of experience in data architecture, with a minimum of 3+ years in the healthcare domain.
• Must have 5+ years of experience in any AWS/Azure/GCP cloud technology.
• Expertise in data engineering frameworks and tools
• Must have 5+ years of experience in Databricks, with the ability to architect, implement, and scale workloads.