Vice President Enterprise Data Architecture
Vice President Enterprise Data Architecture
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Job Description
Alignment Health is breaking the mold in conventional health care committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fastgrowing company you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters not only changing lives but saving them. Together.
The VP Enterprise Data Architecture designs and implements our AVA data strategy and architecture ensuring data is accessible reliable (quality) and aligned with business needs focusing on data integration governance and compliance. Enterprise data architect provides expert support across the AVA enterprise information data model; data intake data transformation data quality metadata and master data management data virtualization data services and consumption.Enterprise Data Strategy & Architecture
- Develop maintainand scaleAVAs enterprise data architecture strategy aligning with longterm business objectives regulatory environments and innovation priorities.
- Establish blueprints for hybrid data ecosystems that span operational systems enterprise data warehouses cloudnative platforms and edge compute environments.
- Define reference architectures and reusable design patterns that support both legacy and cloudnative data application.
- Develop and implement enterprisewide data architecture standards policies and best practices.
AI & Machine Learning Enablement
- Architect AI/MLready data pipelines including realtime streaming feature engineering and data annotation processes.
- Collaborate with AI/ML teams to ensure model readiness scalability and complianceincluding support for supervised unsupervised and generative learning systemsto improve data accessibility usability and adoption.
- Design systems to support domainspecific LLMs chatbased AI assistants and intelligent document processing tools.
- Define data architectures that support synthetic data generation model validation and the use of thirdparty foundation models via secure APIs.
Generative AI & Intelligent Automation
- Identify opportunities to embed generative AI into clinical operational and memberfacing workflows including summarization copiloting and content generation.
- Guide adoption of lowcode/nocode tools that empower business users to use data build logic or cocreate automation with minimal technical friction.
- Collaborate with HR Ops and L&D leaders to design systems that support knowledge management intelligent upskilling and augmented workforce tools.
Data Modeling Integration & Virtualization
- Lead the design and implementation of data models (conceptual logical physical) supporting operational reporting advanced analytics and AI initiatives.
- Oversee the integration of structured and unstructured data from internal systems APIs EHRs claims devices and external sources.
- Champion data virtualization where appropriate to reduce redundancy and accelerate access to timely insights.
- Drive adoption of modern cloudbased data solutions ensuring performance security and compliance.
Governance Quality and Compliance
- Develop and enforce enterprise data governance frameworks in coordination with compliance security and risk teams.
- Build data stewardship programs and implement tools to maintain high standards in data lineage accuracy completeness and freshness.
- Ensure that data used for AI is explainable secure and aligned with enterprise ethical AI standards including privacy and fairness.
Collaboration & CrossFunctional Leadership
- Serve as a senior data thought partner to leaders across clinical operations population health product innovation finance and compliance.
- Work closely with business leaders IT teams and stakeholders to align data initiatives with business goals.
- Partner with the Chief Data & Analytics Officer (CDAO) VP of AI/ML and Product Engineering to define enterprisewide AI adoption roadmaps.
- Mentor junior architects and analysts in modern data architecture principles engineering best practices and AI design patterns.
Experience Requirements:
- Minimum10 yearsof progressive experience in data architecture enterprise data integration and database design.
- Minimum2 yearsof experience working in ahealth plan payer or healthcare delivery system including familiarity with claims data EHRs HEDIS CMS and HIPAA.
- Demonstrated experience leadingAI or MLfocused architecture initiatives ideally in healthcare fintech or another regulated environment.
Educational Requirements:
- Required:Bachelors degree in Computer Science Engineering Data Science Statistics Mathematics or a related field.
- Preferred:Masters degree MBA or Ph.D. in the above areas with specialization in data strategy AI/ML or systems design.
Specialized Technical Skills:
Advanced knowledge of:
- Data modeling tools and methodologies (e.g. Kimball Inmon Data Vault)
- Cloud data platforms (e.g. Snowflake BigQuery Redshift Databricks)
- Data integration and orchestration (e.g. Informatica Talend dbt Airflow)
- ML and LLMenabling infrastructure (e.g. MLflow Feature Store HuggingFace LangChain vector DBs)
- Handson experience with:
- Generative AI APIs (e.g. OpenAI Anthropic Cohere) and model hosting
- NLP embeddings and prompt engineering strategies
- Secure API design and federated learning concepts
- Certifications such as TOGAF DAMACDMP AWS Certified Data Analytics or similar are preferred.
Core Competencies:
- Visionary thinker with strong systems design intuition.
- Confident communicator with the ability to bridge technical depth and executivelevel influence.
- Values innovation inclusion and ethical technology design.
- Proven ability to lead through ambiguity in fastpaced environments.
Licensure/Certifications (Preferred):
- TOGAF DAMA AWS Certified Big Data/Analytics Google Cloud Professional Data Engineer ITIL SAP CEA or MDM certifications.
Physical Requirements:
- Regularly required to sit stand walk speak and use a computer.
- Must be able to lift or move items up to 10 pounds.
- Specific vision requirements include close vision and the ability to adjust focus.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability age protected veteran status gender identity or sexual orientation.
*DISCLAIMER:Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employmentrelated offers in exchange for money or other sensitive personal be advised that Alignment Health and its subsidiaries will never ask you for a credit card send you a check or ask you for any type of payment as part of consideration for employment with our you feel that you have been the victim of a scam such as this please report the incident to the Federal Trade Commission at If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Healths talent acquisition team please email.
Required Experience:
Chief
Employment Type
Full-Time
