Architecture Principal – Data & Analytics - HIH - Evernorth

Overview

Define and advance the enterprise data and analytics architecture strategy, target states and multi-year roadmaps, serving as a recognized architecture authority for modern data platforms, analytics and AI-enabled capabilities. Band 5 Senior Contributor with no direct reports.

What you'll do

• Define and evolve enterprise data and 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.
• 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.
• 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.
• 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.
• 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.
• 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).
• Serve as a mentor and thought leader across the architecture and data community.
• Drive adoption of best practices, patterns and architectural discipline.

What you'll need

• 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).
• Expertise in cloud ecosystems (Azure, AWS, GCP).
• Expertise in APIs, event-driven architecture and streaming.
• Expertise in data governance, security and privacy frameworks.
• Expertise in AI/ML and advanced analytics platforms.

Details

• Location: Hyderabad, India.
• Band 5 Senior Contributor role.