Principal Data Architect

About the role

The Principal Data Architect is a leadership position responsible for developing the vision for AI-enabled data ecosystems, defining the Enterprise Data Strategy, and establishing the Data Architecture needed to realize business strategy and outcomes. This role ensures alignment of data across operational and analytical systems, enabling consistency from transaction capture through intelligent decision-making.

Responsibilities

• Own developing, documenting the Data Strategy
• Own the development and documentation of Enterprise Data Strategy by collaborating with Data Architecture, Data COE and other functional data leaders
• Develop, evangelize, and govern the evolution of Data architecture within Enterprise
• Enable Advanced analytics and AI/ML use cases
• Establish a vision for AI-enabled Data ecosystems, including semantic understanding and knowledge-driven architectures
• Enable effective data and analytics governance
• Aid in the analysis of data and analytics security requirements and solutions
• Data program planning

Qualifications

• A minimum of 12 years of professional experience in IT, including at least 5 years specializing in information and data architecture
• Significant experience serving as a Data/Information Architect within a complex enterprise environment, with demonstrated success delivering scalable, enterprise-grade data solutions
• Experience in the healthcare and/or insurance domain, particularly within payer organizations (e.g., insurance carriers), is highly preferred
• Hands-on experience with modern data and AI platforms such as Snowflake, Databricks, Azure, GCP, and/or AWS
• Deep understanding of data technologies and the supporting infrastructure, including cloud and cybersecurity technologies, required to deliver enterprise data capabilities
• Proven experience using data science and advanced analytics tools and technologies to solve complex enterprise problems
• Extensive experience designing and implementing information and data solutions
• Hands-on experience implementing data and analytics governance or management programs is preferred
• 3 to 5 years of experience as a data analyst is highly desirable, particularly experience focused on front-end data consumption, analytics, and business-facing insights
• Experience with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation
• Experience with distributed data management and analytics in cloud and hybrid environments, including an understanding of multiple data access and analytics approaches (e.g., microservices and event-driven architectures)
• System integration experience, including interface design and familiarity with web-oriented architecture patterns
• Expertise in enterprise-level data modeling and information classification
• Understanding of common information architecture frameworks and enterprise information models
• Knowledge of problem analysis, structured analysis and design, and programming techniques
• Strong business acumen with the ability to communicate, influence, and collaborate effectively with executives, business stakeholders, and technical teams
• Demonstrated leadership, influence, presentation, facilitation, and team-oriented problem-solving skills across multiple levels of the organization
• Ability to translate information architecture concepts and contributions into clear, business-focused outcomes and briefings for diverse data and analytics stakeholders
• Organizationally savvy, with the ability to navigate, influence, and persuade within complex enterprise environments
• Ability to think strategically and tactically, balancing long-term vision with near-term execution
• Ability to assess rapidly evolving technologies and apply them effectively to business needs
• Track record of remaining unbiased toward specific technologies or vendors