Principal Data Architect

Job Description

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 include defining the vision, target state, roadmap, and governance associated with the management and use of data assets across the enterprise. In addition, this role serves as a thought leader and is responsible for enabling advanced analytics and AI/ML technologies, as appropriate, across the company.

• 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. The Data strategy verbalizes the data capabilities that we intend to create within our enterprise and the roadmap to realize it.
• Own Enterprise Data Architecture:
  By partnering with Data architecture and Enterprise architecture team and other business leaders, develop, evangelize, and govern the evolution of Data architecture within Enterprise.
• Enable Advanced analytics and AI/ML use cases:
  Provide thought leadership and specific technology expertise as it relates to successful application of advanced analytics and data science techniques within the enterprise.
• Enable effective data and analytics governance:
  Enable policy‑driven and context‑aware governance, ensuring architecture alignment to the Data strategy and overall technology strategy, principles.
• Enhance decision making:
  Use tools such as business information models to provide the organization with a future‑state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies.
• Consult on business information modeling:
  Thought leadership and support for creating and managing business information models in all their forms.
• Secure data and analytic assets:
  Aid in the analysis of data and analytics security requirements and solutions.
• Data program planning:
  Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.

• 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.
• Experience in the healthcare and/or insurance domain 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 supporting infrastructure, including cloud and cybersecurity technologies.
• 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.
• 3 to 5 years of experience as a data analyst is highly desirable.
• Strong experience with AI/ML ecosystems, including model lifecycle management.
• Experience with data science concepts, MDM, business intelligence, and data warehouse design and implementation.
• Experience with distributed data management and analytics in cloud and hybrid environments.
• 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 ability to communicate, influence, and collaborate effectively with executives.
• Demonstrated leadership,…