Senior Director, Data and AI Architecture Leader

Role Summary

This position can be 100% remote, but must be located in the United States. We are seeking an experienced Senior Director of Data and AI Architecture to lead our strategic data architecture initiatives across the enterprise, focusing on Data and AI enablement and digital transformation, and to play a key role in our cloud migration initiative.

Responsibilities

• Central accountability to implement responsible Data and AI practices that comply with evolving regulations and organizational ethical principles.
• Lead efforts to streamline data processes, improve data quality and consistency, and enable more efficient analytical capabilities across the organization.
• Build an AI-ready data foundation to leverage machine learning and AI to enhance business decision-making across all domains.
• Advise the Data and AI Committee on AI solutions, investments and benefit analysis (e.g. ROI).
• Collaborate across business and IT, demonstrating excellent communication and stakeholder management skills.
• Help improve data and AI literacy across the organization.

Qualifications

• Bachelor’s degree in computer science, engineering, or related technical field. Master’s degree preferred.
• 8+ years of experience in enterprise data architecture or systems design.
• Strong knowledge of AI operating model and data governance, lineage, and metadata management principles.
• Ability/experience to establish data governance councils, stewardship, and quality frameworks.
• Proven experience with large-scale data migration projects and cloud transformation.
• Deep understanding of enterprise architecture frameworks and methodologies.
• Familiarity with data operability standards (HL7/FHIR; CDISC; OMOP).
• Strong technical background in database platforms (Databricks; Snowflake; Amazon Redshift).
• Understanding of cloud architecture principles (AWS preferred).
• Enterprise systems architecture.
• AWS and cloud technologies.
• Data modeling and design.
• Data lineage and governance tools.
• ETL/ELT processes.
• Big data and analytics platforms.
• Financial risk systems and methodologies.
• Programming knowledge (Python, SQL, etc.).
• DevOps and CI/CD principles.
• Knowledge graph and semantic web technologies.
• Machine learning operations (MLOps).
• AI-focused data catalog tools.
• Schema registry and metadata management systems.
• Feature store architecture for machine learning.
• Ability to influence executives and translate complex technical concepts for non-technical stakeholders.
• Ability to sit for prolonged periods; reach with arms and hands; lift and move small objects; use hands to keyboard and perform other office related tasks including repetitive movement of the wrists, hands and/or fingers.
• Occasional travel required, as needed.

Skills

• Life Sciences/Pharma/Biotech experience preferred (desirable).
• Cloud platform certifications (e.g., AWS Certified Solutions Architect).
• Enterprise Architecture certifications (TOGAF, Zachman).
• Data Management certifications (CDMP, DAMA).
• Project/Program Management certifications (PMP, Prince2, Agile/Scrum).
• AI/ML certifications or specialized training.
• Familiarity with GDPR, NIS2, EU AI Act.

Education

• As listed in Qualifications (Bachelor’s required; Master’s preferred).