Data Engineering Manager: AI, Cloud & DataOps Leader

AFA American Fidelity Assurance Company; Oklahoma; On-site; USD 120,000 - 190,000; Full time

Job summary

AFA American Fidelity Assurance Company is seeking an Data Engineering Manager in Oklahoma to lead multiple data platforms and initiatives, align delivery with enterprise strategy, and drive measurable business outcomes.

You will oversee architecture, budgeting, and vendor relationships while promoting cloud and data engineering best practices, DevOps, and AI-enabled solutions. The role requires strong leadership, communication, and problem-solving abilities.

Qualifications

• Bachelor's degree in computer science or related field or commensurate experience.
• Significant technical leadership experience and prior team management responsibility.
• Advanced knowledge of data warehouse/ODS design and data modeling.
• Strong business acumen, communication, and project management skills.

Responsibilities

• Provide strategic and operational leadership for data project teams delivering complex platforms.
• Direct architecture, resource planning, vendor relationships, and budgeting.
• Guide cloud adoption, DevOps/DataOps, automation, and AI-assisted engineering.
• Recruit, coach, and develop a high-performing data team.
• Partner with business leaders on data roadmaps and investment decisions.
• Ensure security, quality, and regulatory standards across initiatives.

Skills

Data warehousing

SQL optimization

CI/CD & Git

Azure data technologies

Snowflake

Informatica

Cloud architecture

AI/ML applications

Leadership

Data modeling

Education

Bachelor's in Computer Science or related field

Tools

Git

Azure Data Factory

Azure Synapse Analytics

Snowflake

Informatica

Job description

AFA American Fidelity Assurance Company is seeking an Data Engineering Manager in Oklahoma to lead multiple data platforms and initiatives, align delivery with enterprise strategy, and drive measurable business outcomes.

You will oversee architecture, budgeting, and vendor relationships while promoting cloud and data engineering best practices, DevOps, and AI-enabled solutions. The role requires strong leadership, communication, and problem-solving abilities.