The Director of Data and AI Architecture will drive the evolution of our hybrid data strategy and AI architecture to enhance our industry leading SaaS healthcare payer products and corporate data management products.
Requirements
- Strong expertise in cloud and hybrid data architectures (AWS, Azure, or Google Cloud)
- Hands-on experience with AI/ML model deployment, data governance, and responsible AI practices
- Proven ability to define and execute a hybrid data strategy and investment plan in a commercial SaaS environment
- Experience developing multi-customer, scalable data architectures for SaaS products and platform models
- Familiarity with US Healthcare payer analytics use cases (e.g., risk stratification, claims analytics, provider network optimization)
- Certifications in cloud technologies (AWS Certified ML Engineer, Data Engineer, Azure Data Engineer, etc.)
- 5 years of experience with technical product lifecycle approaches and technologies
Responsibilities
- Manages governance for AI implementation including ethics, model management and explainability, bias mitigation, and compliance with evolving regulations
- Reviews and gains approval of data and AI driven technical solutions through the architecture governance process.
- Develops and refines the enterprise hybrid data strategy and roadmap, optimizing cloud and on-premise data assets for scalability, security, compliance, and performance
- Actively leads the effort to architect highly scalable, multi-customer data solutions that support AI-driven analytics within a SaaS environment while driving the modernization of data platforms, data lakes, and data streaming architectures for advanced insights and automation
- Provides actionable guidance for data pipeline patterns and industry standard data models to ensure interoperability with healthcare payer ecosystems
- Defines and enforces data security, privacy, and governance policies aligned with industry standards.
- Defines and implement responsible AI standards, data-driven patterns and best practices to ensure fairness, transparency, and compliance in AI-enabled SaaS products
Other
- Awareness of the U.S. healthcare payer market, regulatory requirements, and industry standards (HIPAA, HITrust, CMS, FHIR, HL7, EDI)
- Effective communication skills, both verbal and written, including the ability to communicate appropriately across all levels of an organization
- Ability to be innovative, adaptable, positive, and motivating during difficult situations, projects and/or corporate and client landscape changes
- Effective change management skills
- Effective financial management skills
