Engineering
Lead Data Architect
Mutual of Omaha
Full-Time
Lead
$160k – $185k/yr
Remote
Posted 1w ago
Tech Stack
PythonGoRustMongoDBAWSSparkGitCI/CDKafkaSnowflake
Job Description
**Location:** Remote
**Work Type:** Full Time Regular
**Job No:** 504770
**Categories:** Information Technology
**Application Closes:** Open Until Filled
2026\-04\-30
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**
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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**Great place to work**
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Together we achieve greatness. Not only is this a core value, but it’s also representative of the kind of place we are — built by the strength and integrity of our employees. It’s why we’re named a “Great Place to Work”.
**An inclusive culture**
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Surround yourself with an authentic and inclusive culture. Your strengths and differences will be valued and celebrated by a diverse community of co‑workers.
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