Job Description

At Mutual of Omaha, data isn't just infrastructure, it's the engine behind smarter decisions, better customer experiences, and a future built on intelligent automation. We're looking for a Lead Data Architect to join our Workplace Solutions division and take ownership of how we design, evolve, and operationalize our data and AI platforms. This is a brand new role with real influence. You'll shape strategy, build the foundation, and leave a mark on how a 100-year-old company becomes data-powered.

WHAT WE CAN OFFER YOU:

• Estimated Salary: $160,000 – $185,000, plus annual bonus opportunity
• 401(k) plan with a 2% company contribution and 6% company match
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.

This role is classified as remote; however, periodic in-person attendance will be required at times for activities such as quarterly or project planning, training, or other business-critical meetings.

Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

• Design and own the data architecture for Workplace Solutions — building cloud-native platforms that power analytics, machine learning, and intelligent automation at scale
• Define and drive the roadmap for data modernization, MLOps, and AI governance across the division in partnership with enterprise architects and business stakeholders
• Lead AI and ML prototyping efforts — running POCs, design sprints, and "what-if" scenarios to validate ideas and prove business impact before full investment
• Establish and uphold standards for data quality, responsible AI, and secure model deployment, ensuring regulatory compliance and long-term trust in our data assets
• Connect data solutions across microservices, event-based architectures, and external partners — ensuring everything is scalable, observable, and production-ready
• Coach and level up data engineers and analysts in data modeling, feature engineering, and ML development best practices
• Guide architecture decisions within an Agile Release Train (ART), translating complex technical tradeoffs into clear, actionable direction for delivery teams

WHAT YOU'LL BRING:

• 5+ years leading data architecture initiatives including cloud-native platforms, ML lifecycle management, and enterprise data integration
• Deep expertise in data warehouse and data lakehouse design, distributed data systems, and logical/physical/multidimensional data modeling
• Hands-on experience deploying ML models into production using tools like MLflow, SageMaker, or equivalent frameworks
• Strong Python and SQL skills with a track record of building real, production-grade data solutions
• Cloud experience (AWS preferred) including model deployment via containers, APIs, or serverless frameworks
• Proven ability to design and deliver ETL/ELT pipelines from source to target at enterprise scale
• Strong command of data governance, stewardship, and responsible AI principles
• Excellent communication skills — able to lead across technical and business teams and explain architecture clearly to non-technical stakeholders

PREFERRED:

• Experience with Snowflake, MongoDB, and the AWS AI/ML stack (SageMaker, Bedrock, Glue, Redshift)
• Familiarity with MLOps practices, data mesh principles, and real-time analytics tools like Kafka or Spark
• TOGAF certification
• Background in group benefits, insurance, or financial services
• Experience with data observability tools, CI/CD for ML, and lineage/trust frameworks

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com Please allow at least one week from time of applying if you are checking on the status.

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