Data Solutions Architect
Mutual of Omaha is seeking a visionary Data Architect to lead the design and evolution of intelligent data-driven platforms across our Workplace Solutions division. This position will champion strategic initiatives leveraging data, analytics, and artificial intelligence to enhance customer experiences, optimize operations, and drive business value through scalable and ethical technology solutions. This role is essential in shaping our data architecture, artificial intelligence strategy, and governance models, enabling intelligent automation, machine learning operations (MLOps), and integrated insights. The ideal candidate brings deep technical expertise and an innovative mindset to accelerate our journey toward becoming a data-powered organization. As a Lead Architect within Workplace Solutions Integration ART, you will work closely with business and technology partners to deliver modern, secure, and adaptive data ecosystems and AI solutions. You will contribute to Mutual of Omaha’s transformation by establishing a future-ready data foundation and operationalizing AI to unlock actionable intelligence. 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. Applicants for this position must not now, nor at any point in the future, require sponsorship for employment. WHAT YOU'LL DO: Data and AI Architecture Leadership: Design and implement advanced data platforms and AI architecture, enabling enterprise-scale analytics, machine learning, and intelligent automation across the division. Strategy & Planning: Collaborate with enterprise architects and business stakeholders to define a vision and roadmap for data modernization, MLOps, and AI governance aligned to strategic outcomes. AI Innovation & Prototyping: Lead the development of AI models, POCs, and pipelines using cutting-edge technologies. Explore "what-if" scenarios, whiteboarding, and design sprints to evaluate new opportunities and validate business impact. Governance & Ethics: Establish and uphold standards for data quality, stewardship, ethical AI practices, and secure model deployment while promoting regulatory compliance and trust. Mentorship & Enablement: Coach engineers and analysts in data modeling, feature engineering, and ML development. Promote knowledge sharing and establish best practices across data science and data engineering teams. Collaboration & Integration: Integrate data solutions with microservices, event-based architectures, and external business partners, ensuring scalability, observability, and operational readiness. WHAT YOU’LL BRING: 5+ years of experience in leading data architecture initiatives at the solution level, including cloud-native data platforms and enterprise data integration (machine learning lifecycle management preferred). Expertise in distributed data systems, data warehouses, data lakehouse architecture. Proficiency in Python, SQL, Snowflake and MongoDB and cloud technologies (AWS preferred). Proficiency in logical and physical data modeling, multidimensional modeling, normalization and denormalization techniques. Experience translating business strategies into data solutions with measurable outcomes. Experience building data systems in microservice environments that provide access to data for operational and analytical needs (BI/ML/AI). Proficiency in design and development of ETL/ELT methodologies from source to target supporting data processing and transformations to deliver data-driven business insights and decisions. Strong understanding of data governance, explainability, and responsible data principles. Familiarity with data observability tools, CI/CD for ML, and lineage/trust frameworks. Comfortable working in agile environments and guiding architecture for Agile Release Trains (ART). Excellent communication, stakeholder engagement, and cross-functional leadership skills. You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do. Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico. PREFERRED: TOGAF Certified. Group Benefits or insurance industry experience. Experience with MongoDB, Snowflake, AWS AI/ML stack (SageMaker, Glue, Redshift, Bedrock, etc.). Familiarity with MLOps, data mesh principles, and real-time analytics (Kafka, Spark). Artificial Intelligence experience is preferred but not required. A strong willingness to learn and grow in AI technologies is highly valued. 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 [email protected]. Please allow at least one week from time of applying if you are checking on the status. Stay Safe from Job ScamsMutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely! Fair Chance Notices #Circa Apply tot his job