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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Manager - Data Platform & AI Engineering (Hybrid) - **Company:** Securian - **Location:** Saint Paul, MN, United States - **Experience:** Experienced - **Salary:** $110,200.0 - $203,500.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Database, Cloud Engineering, Continuous Integration, Data Infrastructure, DevOps, Machine Learning, Scrum Methodology, Azure Machine Learning, Enterprise Data Management, Enterprise Software Applications, Cloud Platform System, Snowflake, Technical Debt, AI Platforms, Information Technology, Data Management - **Published:** September 24, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18434046?backUrl=%2Fcareer%2F18434046%2FEngineering-Manager-Data-Platform-Ai-Engineering-Hybrid-Minnesota-Saint-Paul ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Technology, or related field, or equivalent experience. * 7+ years of experience in software, data, platform, cloud, or AI engineering. * 3+ years of people leadership experience managing technical teams. * Experience leading delivery and operational support for enterprise technology platforms. * Strong understanding of cloud platforms, DevOps, automation, CI/CD, and modern engineering practices. * Experience managing vendors, consulting partners, and outsourced engineering teams. * Proven ability to balance delivery commitments, operational excellence, and talent development. * Strong communication, leadership, and stakeholder management skills., * Experience leading Data Platform Engineering, AI Engineering, Analytics Engineering, or Cloud Engineering teams. * Experience with Informatica, Reltio, Cloud Database platforms like Snowflake, AI/ML platforms, or modern data ecosystems. * Financial services or regulated industry experience. * Experience with platform modernization, engineering governance, and production operations. * Familiarity with Agile, Scrum, and product-based delivery models. * Demonstrated success building and developing high-performing engineering teams. #LI-Hybrid **This position will have a hybrid working arrangement, working in-office for a minimum of 3 days a week.** ## Description Join Securian's Enterprise Data and Analytics Platform Technology & Engineering (PTE) organization and lead the teams responsible for delivering the enterprise data and AI platforms that power analytics, machine learning, and business innovation. As Manager, Data Platform & AI Engineering, you will provide day-to-day leadership for engineers, drive delivery execution, ensure platform reliability, and build a culture of engineering excellence. This role combines people leadership, operational accountability, vendor management, and technical oversight to deliver scalable, secure, and resilient technology solutions. Why Join Us? You'll have the opportunity to shape the future of enterprise data and AI capabilities, lead a talented engineering team, influence technology strategy, and help deliver innovative solutions that create measurable business value across the organization. Responsibilities include but not limited to: * Lead and develop a team of Data Platform and AI Engineers, fostering a culture of accountability, collaboration, and continuous improvement. * Drive successful delivery of platform, data, and AI initiatives while managing priorities, risks, dependencies, and resource allocation. * Oversee day-to-day platform operations, production support, incident response, and service reliability. * Manage engineering capacity planning, staffing strategies, and workforce development. * Serve as the primary relationship manager for engineering vendors, including phData, ensuring quality delivery and knowledge transfer. * Lead platform upgrades, modernization efforts, lifecycle management, and production readiness activities. * Establish and enforce engineering standards, development practices, operational procedures, and quality expectations. * Partner with Architecture, Product, and business stakeholders to deliver secure, scalable, and maintainable solutions. * Drive technical debt reduction strategies and platform health improvements to support long-term sustainability. * Provide technical leadership and remove impediments to effective technology delivery aligned with business priorities and technology standards. ## Related Videos - [This App Reached 10,000 Users in One Week. 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