Joshua Roberts

Strategic and outcomes-driven data architecture and technical program leader with 20+ years of experience designing enterprise-scale data models and driving analytics, governance, and modernization programs. Proven expertise in developing logical and conceptual data models, defining metadata and taxonomy frameworks, and aligning data principles across complex domains such as instruments, transactions, positions, and accounts. Skilled in facilitating cross-functional stakeholder workshops, engaging governance bodies, and translating business objectives into actionable architectural blueprints. Deep technical knowledge of data lake/lakehouse platforms, BI stacks, and data flow documentation using tools such as Snowflake, dbt, SQL, and Tableau across asset management, SaaS, and healthcare ecosystems.

• Led a cloud cost optimization initiative at Indeed that resulted in $20M+ annualized savings, consolidating petabyte-scale storage and optimizing compute usage across business units.
• Directed the migration of 150+ petabytes of data and dozens of applications into Snowflake using dbt, Airflow, and AWS, modernizing the analytics stack and reducing pipeline complexity by 40%.
• Managed a team of data engineers and analysts supporting CMS, HEDIS, and NCQA-compliant reporting, using SQL, SAS, and Python to drive accurate regulatory submissions.
• Orchestrated enterprise-wide reporting modernization at MaineHealth, integrating claims, EHR, and care management data to support population health and quality outcomes.
• Spearheaded the development of an internal chargeback model at WeSalute, providing real-time Snowflake and compute cost visibility.
• Partnered with ML engineers to integrate SageMaker-deployed models into enterprise data pipelines, improving experimentation cycle times by 30% and enabling real-time inference at scale.
• Developed governance workflows for AI model deployment, including drift detection, bias monitoring, and model versioning, ensuring compliance with HIPAA and GDPR.
• Drove the launch of a multi-tenant Snowflake data access platform, enabling self-serve analytics for over 200 stakeholders while reducing ad hoc engineering support by 60%.
• Collaborated with product, design, and compliance teams to deliver a data permissions management framework that balanced usability, regulatory compliance, and internal governance across business units.

• PMI Institute
• Kappa Sigma Fraternity
• MIT Alumni
• AI Champions at Indeed
• Student Bar Association at Purdue