Director – Data Platforms

Role Overview

• Lead the architecture, optimization, and scaling of the Snowflake data platform supporting Member Experience and Transparency solutions.
• Drive modernization initiatives, including migration from legacy data environments to Snowflake.
• Conduct architecture reviews and influence technical direction through strong engineering conversations.
• Establish best practices for performance tuning, workload management, cost optimization, and resiliency.
• Ensure scalable ELT frameworks and modern data engineering standards.
• Drive BI transformation initiatives, including Sigma migration and modernization.
• Improve performance, usability, and reliability of reporting solutions that power member-facing transparency insights.
• Partner with analytics and product teams to evolve BI capabilities aligned to business needs.
• Architect AI-ready data infrastructure that supports advanced analytics and emerging AI use cases.
• Enable AI-driven productivity within engineering and analytics teams.
• Design data foundations that support agentic AI systems driving workflow automation and intelligent decision-making.
• Establish governance guardrails to ensure responsible, secure AI deployment.
• Partner with product and engineering leaders to embed AI capabilities within transparency and member experience solutions.
• Ensure secure, compliant Snowflake environments aligned to healthcare and regulatory standards (including HIPAA).
• Implement robust RBAC models, data masking, lineage tracking, and auditing capabilities in line with the enterprise Infosec guidelines.
• Partner with Cloud and Security teams to align data platform strategy with enterprise cloud architecture.
• Lead cost governance and resource optimization across ME&T BU Snowflake environments.
• Serve as a strategic technical partner across Product, Engineering, Security, and Business stakeholders.
• Translate business priorities into scalable platform capabilities.
• Influence platform direction through architectural rigor and strong technical communication.
• Align platform evolution with Member Experience and Transparency objectives.

Requirements

• 10+ years in data engineering, analytics engineering, or data platform architecture
• 5+ years hands-on experience leading Snowflake environments at scale
• Proven experience leading Snowflake migrations and modernization initiatives
• Experience modernizing BI platforms, including Sigma migration
• Deep expertise in Snowflake performance optimization and architecture design
• Cloud-native data platforms (AWS, Azure, or GCP)
• ELT orchestration, data modeling, and CI/CD practices
• Governance, lineage, and security frameworks
• Experience enabling AI/ML data workflows and supporting AI transformation initiatives
• Strong understanding of scalable architecture for AI-enabled and agentic systems
• Demonstrated ability to influence through technical depth and cross-functional collaboration
• Experience in healthcare fintech or regulated environments preferred.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform

Benefits

• 401k plan with employer match
• Flexible paid time off
• Holidays
• Parental leaves
• Life and disability insurance
• Health benefits including medical, dental, vision, and prescription drug coverage