Securian Financial

Data Engineer

• Design, build, and optimize data pipelines and transformations for artificial intelligence, advanced analytics, and enterprise use cases
• Research, recommend, implement, and drive architectural and data-pattern changes
• Collaborate with product managers, data scientists, machine learning engineers, technology teams, and stakeholders to understand requirements and deliver data solutions
• Mentor and consult with team members and other areas on best practices and optimal data solutions
• Apply data governance and security tooling, processes, and principles
• Devise technical solutions based on customer, business-process, and technical requirements

Engineering Manager

• Lead and develop a team of Data Platform and AI Engineers
• Drive delivery of platform, data, and AI initiatives while managing priorities, risks, dependencies, and resource allocation
• Oversee platform operations, production support, incident response, and service reliability
• Manage engineering capacity planning, staffing strategies, and workforce development
• Manage relationships with engineering vendors, including phData
• Lead platform upgrades, modernization, 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 and platform health improvements
• Provide technical leadership and remove impediments to technology delivery

Engineering Manager – Data Platform, AI Engineering

Security Analyst

• Provide daily operational support for Palo Alto Firewalls, including policy changes, rule reviews, object updates, troubleshooting, and firewall hygiene coordination
• Support Netskope operations, including policy administration, troubleshooting, configuration updates, and secure web gateway or cloud access security use cases
• Support CrowdStrike operations, including sensor health checks, policy updates, exclusion reviews, and troubleshooting
• Support Carbon Black operations, including agent health monitoring, policy maintenance, workstation and server troubleshooting, configuration updates, and coordination with endpoint engineering teams
• Respond to operational tickets, service requests, maintenance tasks, and change activities within defined service level expectations
• Investigate and resolve security tool performance, connectivity, policy enforcement, endpoint agent, and user-impact issues
• Perform platform maintenance, configuration reviews, version validation, health checks, and documentation updates
• Partner with security engineering, infrastructure, endpoint, network, and vendor teams on complex technical issues
• Maintain operational documentation, standard operating procedures, troubleshooting guides, escalation paths, and knowledge base articles
• Identify opportunities to improve operational efficiency, reduce recurring incidents, strengthen security controls, and improve service quality

Cyber Security Analyst

Product Manager

• Define and communicate product vision, strategy, and roadmap aligned with business priorities and associate needs
• Partner with business, technology, operations, vendor organizations, the AI Center of Excellence, AI Innovation Corner, engineering teams, and infrastructure partners
• Translate business objectives into product requirements, features, and delivery plans
• Establish and track product OKRs, KPIs, and adoption metrics
• Own and manage the product backlog
• Facilitate backlog refinement, release planning, and Agile delivery activities
• Lead prioritization decisions based on business value, user impact, cost, risk, and technical considerations
• Drive adoption and effective use of productivity technologies through engagement, feedback, and education
• Ensure platform governance, compliance, and operational sustainability while enabling innovation
• Assess market trends, emerging technologies, and AI capabilities
• Manage enterprise productivity and collaboration solutions including Microsoft 365, SharePoint, Teams, Outlook, OneDrive, OneNote, Microsoft Copilot, ChatGPT, Box, and Smartsheet

Product Owner, Associate Productivity Solutions

• Lead and inspire engineering delivery teams in a dynamic, matrixed environment
• Guide staffing, mentoring, and performance development for solutions professionals
• Mentor and develop high-performing engineers
• Serve as solution owner and drive technology health and innovation for the Affinity Solutions technology portfolio
• Collaborate with Affinity Solutions partners to build market knowledge and identify industry trends and emerging technologies
• Engage with Product Owners, architects, security, data, and external partners to align priorities and address staffing capacity challenges
• Oversee business continuity, incident response, and secure platform delivery
• Manage budgets, technology vendors, and strategic staffing partners
• Ensure adherence to development standards and foster continuous improvement
• Oversee high-priority technology initiatives and support enterprise portfolio management processes

Engineering Manager – Affinity Solutions Technology

Solutions Engineer

• Serve as technology platform owner for the Associate Productivity and Marketing Solutions portfolio
• Drive strategy, multi-year roadmaps, investment priorities, governance, lifecycle planning, and measurable business value
• Lead, mentor, and develop a high-performing team
• Lead strategy, governance, adoption, and optimization of Microsoft 365, SharePoint, and associate-facing AI capabilities
• Partner with Enterprise Marketing to deliver technology supporting marketing strategies, campaigns, communications, and workflows
• Build partnerships across business and technology teams, including marketing, AI, engineering, operations, architecture, cybersecurity, procurement, and vendor management
• Provide financial, vendor, and workforce leadership
• Oversee technology investments, forecasts, licensing, vendor relationships, workforce capacity, and capability planning
• Advance product management and agile practices
• Manage technology, security, operational, vendor, and delivery risks
• Research emerging technologies and industry trends that improve associate productivity and marketing effectiveness

Associate Productivity and Marketing Solutions Manager

• Own and continuously evolve the ServiceNow product vision and multi-quarter roadmap
• Translate enterprise strategies and business outcomes into product themes, roadmap sequencing, epics, features, and delivery priorities
• Evaluate ServiceNow capabilities and recommend investments, enhancements, standardization, simplification, or retirement
• Balance strategic initiatives, operational needs, regulatory requirements, technical debt, lifecycle needs, and modernization
• Evaluate and prioritize ServiceNow requests based on business value, strategic alignment, customer impact, risk, cost, capacity, and complexity
• Facilitate prioritization and trade-off decisions when demand exceeds platform capacity
• Define measurable product outcomes and success measures
• Monitor adoption, user experience, automation, cycle time, reliability, platform health, and realized business value
• Communicate platform performance, roadmap progress, risks, dependencies, capacity constraints, and investment recommendations
• Partner with architecture and engineering to align solutions with architecture, security, data, integration, and governance standards
• Balance customization with configuration and out-of-the-box ServiceNow capabilities
• Participate in governance and design decision forums
• Advise business and technology leaders on ServiceNow capabilities
• Build alignment across competing stakeholder priorities and facilitate product trade-offs
• Own and prioritize the product backlog
• Translate business outcomes into themes, epics, features, user stories, and acceptance criteria
• Lead or participate in agile planning, refinement, story mapping, reviews, and related product management activities
• Partner with engineering and architecture through solution design and delivery, and accept completed work against agreed outcomes and criteria
• Ensure operational issues, platform health, technical debt, and lifecycle needs are reflected in product priorities