The Principal Data & Analytics Architect is a senior technology leader responsible for shaping the company's data, analytics, and AI strategy. This role works closely with business and technology leaders to design solutions that help teams make better decisions using trusted data. The person in this role develops long-term plans for data and analytics platforms, promotes best practices, and supports innovation across the organization. This is an individual contributor role that requires strong leadership, strategic thinking, and the ability to influence teams and leaders across the enterprise.

Responsibilities:

• Develop and maintain the company's data and analytics architecture strategy and future-state roadmap.
• Design scalable data platforms that support reporting, analytics, artificial intelligence (AI), and machine learning (ML).
• Create standards and best practices for collecting, storing, integrating, and sharing data.
• Partner with business and technology teams to align data solutions with company goals.
• Support self-service reporting, business intelligence, and advanced analytics capabilities.
• Ensure data solutions meet security, privacy, compliance, and governance requirements.
• Establish architecture standards, design patterns, and reusable solutions across the enterprise.
• Evaluate emerging technologies and recommend opportunities to improve data and analytics capabilities.
• Guide architecture decisions for large-scale data and analytics initiatives.
• Promote modern practices such as DataOps, MLOps, automation, and cloud-based data solutions.
• Work with engineering and product teams to deliver scalable, reliable, and cost-effective solutions.
• Mentor technical teams and share architecture best practices across the organization.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 12+ years of experience in data architecture, enterprise architecture, data engineering, analytics, or related technology roles.
• Experience creating enterprise-wide data and analytics strategies and technology roadmaps.
• Strong knowledge of modern data platforms and cloud technologies.
• Experience working in large, complex, and regulated organizations.
• Strong communication and leadership skills with the ability to influence decision-making across multiple teams.
• Experience with:
  • Cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP)
  • Data lakehouse, data mesh, or data fabric architectures
  • API and event-driven architectures
  • Data governance, security, privacy, and compliance frameworks
  • AI, machine learning, and advanced analytics technologies

Preferred:

• Experience leading enterprise data transformation initiatives.
• Experience supporting AI-enabled business solutions.
• Experience within healthcare, insurance, financial services, or other regulated industries.
• Experience developing architecture standards and mentoring technical teams.

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 and long term incentive plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. 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. For more details on our employee benefits programs, click here.