Enterprise Architecture Principal – Data & Analytics

The Enterprise Architecture Principal Data & Analytics is a senior technology leader responsible for defining the future enterprise data and analytics architecture strategy target states and multi-year roadmaps. This role recognized architecture authority architecture strategies establishes technology standards and creates multi-year roadmaps that support business goals and setting the northstar visionfor modern data platforms analytics and AI-enabled capabilitiestranslatingbusiness priorities into pragmatic scalable and future-ready architectures. The individual will be operating with high enterprise influence and no direct reports this role requires strong executive presence the ability to influence without authority and a relentless focus on enabling data-driven decision making hyper-personalizationand AI-first innovation.

Key Outcomes

• Enterprise Data & Analytics Vision:Define and publish a business-aligned data and analytics architecture strategywith a clear 35 year roadmapcovering data platforms governance analytics AI/ML and integration layers.
• Scalable & Reusable Data Foundations:Establish modern modular data architecturesthat reduce fragmentation promote reuse and enable enterprise-scale analytics and AI.
• Decision Velocity through Architecture Governance:Implement architecture principles guardrails and decision frameworks to improve speed consistency and quality of analytics and data platform decisions.
• AI-Ready & Insights-Driven Enterprise:Enable analytics-ready data semantic layers and AI capabilitiesthat accelerate insights automation and intelligent decisioning.
• Cross-Domain Alignment:Act as a unifying architecture leader across Digital Data AI Security and Business domainsto ensure alignment on key investment and design decisions.

Responsibilities

• Develop and lead enterprise data and analytics architecture strategies and roadmaps.
• Design and evolve enterprise data & analytics architecture strategy capability maps and target-state designs
• Develop and maintain multi-year roadmapsaligned to business outcomes cost optimization and innovation priorities.
• Lead architecture decisions for large-scale data analytics and AI initiatives.
• Architect and support modern data platforms(cloud data lakehouse streaming real-time pipelines semantic/ontology layers).
• Partner with engineering product data and business teams to deliver scalable and cost-effective solutions.
• Evaluate emerging technologies and recommend innovative solutions that support business objectives.
• 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 frameworksinto architecture design.
• Drive innovation in AI/ML GenAI agentic analytics and intelligent automation.
• Provide architecture leadership for high-impact data and analytics initiatives.
• Establish reference architectures reusable patterns and standardsfor enterprise adoption.
• Develop reusable architecture patterns frameworks and standards for enterprise adoption.
• Support modern engineering practices including DataOps MLOps and automated deployment processes.
• Partner with engineering product and data teams to ensure architectures are executable scalable and cost-efficient.
• Provide technical leadership mentoring and guidance across the architecture and data community.
• Enable adoption of modern engineering practices(DataOps MLOps CI/CD for data).
• Influence strategic technology decisions and drive alignment across multiple teams and business areas.
• Serve as a mentor and thought leaderacross the architecture and data community.
• Drive adoption of best practices patterns and architectural discipline.

Qualifications

• Bachelors degree in Computer Science Engineering or a related field.
• 10 years of experience in enterprise architecture data engineering analytics platforms or related disciplines.
• Strong knowledge of cloud platforms such as Azure AWS or Google Cloud Platform (GCP).
• Proven success defining data/analytics architecture strategies target states and roadmaps.
• Experience with modern data platforms APIs streaming technologies and data integration patterns.
• Knowledge of data governance privacy security and compliance frameworks.
• Deep experience in large-scale regulated enterprise environments(e.g. healthcare financial services).
• Experience with artificial intelligence (AI) machine learning (ML) and advanced analytics solutions.
• Strong ability to influence senior stakeholders without direct authority.
• Strong communication leadership and problem-solving skills.
• Experience working in large highly regulated industries such as healthcare or financial services is preferred.

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

This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.

At The Cigna Group youll enjoy a comprehensive range of benefits with a focus on supporting your whole health. Starting on day one of your employment youll be offered several health-related benefits including medical vision dental and well-being and behavioral health programs. We also offer 401(k) company paid life insurance tuition reimbursement a minimum of 18 days of paid time off per year paid holidays and leaves of absence. For more details on our employee benefits programs click here.

About The Cigna Group

Qualified applicants will be considered without regard to race color age disability sex childbirth (including pregnancy) or related medical conditions including but not limited to lactation sexual orientation gender identity or expression veteran or military status religion national origin ancestry marital or familial status genetic information status with regard to public assistance citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process please email for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama Alaska Arizona Arkansas Delaware Florida Georgia Hawaii Idaho Iowa Kansas Maryland Massachusetts Michigan Nebraska Ohio Pennsylvania Texas Utah Vermont and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances.