Cross-Domain Alignment: Act as a unifying architecture leader across Digital, Data, AI, Security, and Business domains to ensure alignment on key investment and design decisions.
Key Responsibilities
Strategy & Architecture Leadership
Define and evolve enterprise data & analytics architecture strategy, capability maps, and target-state designs.
Develop and maintain multi-year roadmaps aligned to business outcomes, cost optimization, and innovation priorities.
Establish a data-as-a-product and platform-based operating model.
Data Platform & Analytics Architecture
Architect modern data platforms (cloud data lakehouse, streaming, real-time pipelines, semantic/ontology layers).
Define patterns for data ingestion, transformation, storage, access, and consumption.
Enable self-service analytics, BI, and advanced analytics capabilities across the enterprise.
Lead architecture for AI/ML platforms, feature stores, and model lifecycle integration.
Data Governance, Privacy & Compliance
Embed data governance, quality, lineage, metadata, and stewardship frameworks into architecture design.
Ensure architectures support regulatory, privacy, and security requirements by design.
Establish patterns for trusted, secure, and compliant data usage.
Innovation & Emerging Capabilities
Drive innovation in AI/ML, GenAI, agentic analytics, and intelligent automation.
Evaluate and guide adoption of emerging technologies (e.g., knowledge graphs, semantic models, real-time decisioning).
Lead proof-of-concepts and pilot initiatives for next-generation analytics capabilities.
Governance & Decision Enablement
Provide architecture leadership for high-impact data and analytics initiatives.
Establish reference architectures, reusable patterns, and standards for enterprise adoption.
Drive alignment across portfolios to reduce duplication and optimize investments.
Delivery Partnership & Enablement
Partner with engineering, product, and data teams to ensure architectures are executable, scalable, and cost-efficient.
Enable adoption of modern engineering practices (DataOps, MLOps, CI/CD for data).
Support vendor/platform strategy (e.g., lakehouse, cloud, third-party integrations).
Talent & Community Leadership
Serve as a mentor and thought leader across the architecture and data community.
Drive adoption of best practices, patterns, and architectural discipline.
Qualifications
Required Skills & Experience
Bachelor’s degree in computer science, Engineering, or related field.
18+ years of experience in enterprise architecture, data engineering, or analytics platforms.
Proven success defining data/analytics architecture strategies, target states, and roadmaps.
Deep experience in large-scale, regulated enterprise environments (e.g., healthcare, financial services).
Strong ability to influence senior stakeholders without direct authority.
Expertise in
Modern data platforms (Lakehouse, Data Mesh, Data Fabric)
Cloud ecosystems (Azure, AWS, GCP)
APIs, event-driven architecture, and streaming
Data governance, security, and privacy frameworks
AI/ML and advanced analytics platforms
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
