Enterprise Architecture Principal – Data & Analytics Job Bloomfield Connecticut USA,IT/Tech

Infrastructure Engineering Senior Advisor – Data & Analytics Architecture

The Infrastructure Engineering Senior Advisor – Data & Analytics Architecture is a senior technical leader who helps shape the company's data and analytics strategy. This role designs the future of data platforms, reporting, analytics, and AI solutions that support business goals. The person in this role works with business and technology leaders to create simple, scalable, and secure solutions. They help ensure data is trusted, easy to access, and ready to support better decision-making across the organization.

This is an individual contributor role with no direct reports but requires strong leadership and influence across teams.

Responsibilities:

Develop and maintain the company's data and analytics architecture strategy and long-term roadmap.
Design modern data platforms that support reporting, analytics, artificial intelligence (AI), and machine learning (ML).
Create standards and best practices for storing, accessing, and using data across the organization.
Help teams build scalable, secure, and cost-effective data solutions.
Support self-service reporting and analytics tools that help business teams make informed decisions.
Partner with engineering, product, security, and business leaders to align technology solutions with business needs.
Ensure data solutions meet privacy, security, compliance, and governance requirements.
Evaluate and recommend new technologies, tools, and industry best practices.
Lead architecture reviews and provide guidance on major data and analytics initiatives.
Drive adoption of modern engineering practices, including Data Ops, MLOps, and automation.
Develop reusable architecture patterns and standards that can be used across multiple teams.
Mentor architects, engineers, and technical teams on data and analytics best practices.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
10+ years of experience in enterprise architecture, data engineering, analytics, or related technology roles.
Experience developing enterprise-wide data and analytics strategies and technology roadmaps.
Strong knowledge of modern data platforms, cloud technologies, and analytics solutions.
Experience working in large, highly regulated organizations such as healthcare, insurance, financial services, or similar industries.
Strong communication and leadership skills with the ability to influence teams and leaders without direct authority.
Experience with:

Cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP)
Data lakehouse, data mesh, or data fabric architectures
APIs, event-driven architecture, and data streaming technologies
Data governance, security, privacy, and compliance practices
AI, machine learning, and advanced analytics platforms

Preferred:

Experience leading enterprise data transformation programs.
Experience implementing AI-enabled analytics solutions.
Knowledge of healthcare data and healthcare technology environments.
Experience mentoring technical teams and promoting architecture best practices.

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 10

Mbps download/5

Mbps upload.

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, .

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…