Enterprise Architecture Principal – Data & Analytics

The Cigna Group; Morris Plains (NJ); On-site; USD 152,000 - 253,000; Full time

Benefits offered by this job

Health benefits

401(k)

Life insurance

Tuition reimbursement

Paid time off

Job summary

The Cigna Group in Morris Plains, NJ seeks an Architecture Principal to shape the enterprise data and analytics strategy, roadmaps, and governance. This senior role guides AI-ready architectures across Digital, Data, AI, Security, and Business domains with broad influence and no direct reports.

Responsibilities include multi-year roadmaps, data platform decisions (lakehouse, streaming), and partnering with engineering, product, and data teams to deliver scalable, cost-efficient solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10 years of 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.

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 roadmaps aligned 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 frameworks into 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 standards for enterprise adoption.

Skills

Stakeholder influence

Leadership

Communication

Problem solving

AI/ML experience

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Azure

AWS

GCP

Job description

The job profile for this position is Architecture Principal, which is a Band 5 Senior Contributor Career Track Role.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions.

Our people make all the difference in our success.

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 vision for modern data platforms, analytics, and AI-enabled capabilities—translating business 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-personalization, and AI-first innovation.

Key Outcomes

• Enterprise Data & Analytics Vision: Define and publish a business-aligned data and analytics architecture strategy with a clear 3–5 year roadmap covering data platforms, governance, analytics, AI/ML, and integration layers.
• Scalable & Reusable Data Foundations: Establish modern, modular data architectures that reduce fragmentation, promote reuse, and enable enterprise-scale analytics and AI.
• Decision Velocity through Architecture Governance: Implement architecture principles, guardrails, and decision frameworksto improve speed, consistency, and quality of analytics and data platform decisions.
• AI-Ready & Insights-Driven Enterprise: Enable analytics-ready data, semantic layers, and AI capabilities that accelerate insights, automation, and intelligent decisioning.
• 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.

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 roadmaps aligned 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 frameworks into 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 standards for 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 leader across the architecture and data community.
• Drive adoption of best practices, patterns, and architectural discipline.

Qualifications

• Bachelor's 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

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 151,600 – 252,600 USD / yearly, depending on relevant factors, including experience and geographic location.

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

Starting on day one of your employment, you’ll 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.

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.

Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.

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