Securian Financial

Vice President

• Define and lead the integrated Life and Annuity product strategy, determining where and how the organization competes across product lines and distribution channels.
• Develop and execute a multi-year product roadmap aligned with enterprise strategy, market opportunity, and capital objectives.
• Translate competitive intelligence, market trends, and advisor insights into differentiated product solutions that drive sustainable growth.
• Ensure the product portfolio remains competitive, innovative, and aligned with evolving customer and channel partner needs.
• Own pricing strategy and governance across the life and annuity portfolio.
• Provide final approval authority for new product pricing recommendations prior to regulatory filing.
• Ensure product designs meet profitability targets and align with capital objectives and enterprise risk appetite.
• Balance disciplined trade-offs between growth, margin, and risk to optimize long-term financial performance.
• Represent Securian with key industry and regulatory organizations (e.g., ACLI, NAIC, LL Global).
• Monitor emerging industry, regulatory, and economic developments and translate insights into proactive product and pricing strategies.
• Maintain senior relationships with key distribution partners to ensure product strategy aligns with market demand and advisor needs.
• Partner with leaders across the company; Distribution, Finance, ERM, Asset Management, Legal, Marketing, Operations, and Enterprise Technology to deliver product launches and enhancements.
• Establish governance, prioritization frameworks, and execution cadence for product initiatives.
• Drive consistent delivery of high-quality product launches and ongoing portfolio optimization.
• Lead and develop a high-performing team of actuarial and product development leaders.
• Build a strong pipeline of future actuarial and product leadership talent.
• Foster a culture of innovation, accountability, collaboration, and continuous improvement.

2nd VP – Life & Annuity Product Development

Data Scientist

• Leverage data to drive business outcomes that align with Securian's Enterprise Data Strategy Vision and Operating Principles.
• Work closely with Digital, Marketing, Sales, and Servicing stakeholders to understand business needs.
• Apply a variety of analysis, visualization, and modeling techniques to address business needs.
• Use data to solve complex business problems across the organization.
• Deploy models and solutions that have a measurable impact on company’s revenue, profitability, and overall customer experience/satisfaction.

Data Science Consultant

Full-stack Engineer

• Design, develop, test, and maintain software solutions supporting Core Claims systems, including claims intake, adjudication, and payment processing across multiple markets.
• Build and enhance Java-based applications and services, following established engineering standards and best practices.
• Develop, consume, and support RESTful APIs used by internal and external systems to integrate with Core Claims platforms.
• Write, optimize, and maintain SQL Server queries, stored procedures, and data access logic to ensure data integrity and performance.
• Collaborate closely with product owner, business analysts, quality engineers, and other engineers to deliver high‑quality solutions in an agile environment.
• Participate in code reviews, ensuring readability, maintainability, performance, and security of codebases.
• Support production applications, including troubleshooting issues, performing root‑cause analysis, and implementing fixes to meet reliability and availability expectations.
• Contribute to continuous improvement efforts, including technical modernization, process improvements, and adoption of new tools or patterns where appropriate.

Software Engineer – Core Claims

Financial Planning and Analysis

• Support underwriting of new Investment Grade debt private placements across a variety of industries through fundamental credit analysis and relative value assessment
• Prepare detailed credit memos and financial models that clearly summarize issuer fundamentals, transaction structure, key risks, and investment rationale for internal review
• Assist with transaction due diligence, including reviewing offering materials and coordinating with senior team members on investment-specific analysis
• Review transaction legal documentation alongside senior analysts to understand covenant structures, creditor protections, and overall deal terms
• Monitor existing portfolio investments by tracking issuer performance, financial statements, covenant compliance, rating agency actions, and relevant market or industry developments
• Support recommendations for covenant amendments or waivers by analyzing issuer performance and credit implications
• Engage with Private Placement agents and internal stakeholders to support deal sourcing and execution efforts
• Participate in internal meetings, including credit discussions and watchlist reviews, contributing analysis and insights as appropriate
• Assist with team and firm initiatives, including process improvements, research projects, and ad hoc analytical requests.

Private Placement Investment Analyst

Business Intelligence Analyst

• Serve as Individual Solutions’ primary leader in driving the execution and operationalization of Individual Solutions data & analytics strategy including Artificial Intelligence, Data Infrastructure, and Analytics in the pursuit of business outcomes.
• Develop & maintain the roadmap for the use of all Individual Solutions data infrastructure & advanced analytics enhancements, in coordination with eDNA and Enterprise Technology leadership.
• Identify and advocate for practical solutions to ensure IS data is fit for use and to drive analytics resulting in business value, in collaboration with Shared Services Groups.
• Create and present business use cases for data, analytics, and AI initiatives while being accountable for measuring the business value delivered through investments in Individual Solutions data and analytics.
• Educate Securian Financial on Individual Solution’s maturity and needs from a data and analytics perspective.
• Lead and mentor a team of Business Intelligence (BI) associates.
• Oversee the development of complex reports and dashboards that support life and annuity business performance and drive decision making.
• Guide the team to identify new opportunities for data analysis and apply advanced analytics methodologies.
• Foster a culture of innovation, continuous learning, and collaboration within the BI team.
• Establish a regular forum with IS leaders and key associates to align on data and analytics use cases, while fostering education that empowers data-driven decision-making and the strategic use of AI to drive business impact.
• Proactively seek the perspective of IS leaders to ensure data and analytics issues have been identified and are appropriately prioritized.
• Key business point of contact with Shared Service groups throughout the implementation of significant data and analytics projects.

Business Intelligence Innovation Manager

Consultant

• Drive implementation of Data Management capabilities in enterprise data and analytics projects incorporating the following functions: data management standards and best practices, metadata management and data catalog, data quality, master data management, and data readiness assessments for analytics and AI, etc.
• Drive and manage adoption, operations, and maturity of data management capabilities and services, including but not limited to the following: Enterprise data catalog solution and metadata management program including development of business glossaries, profiling, scanning, curating, classification, tagging, and governing data.
• Enterprise data quality program, rules, and tools to monitor, measure, and report on the quality of data in order to improve data quality across the organization.
• Master data management program and tools to master and deliver a customer and financial professional golden entity record.
• Data strategy and readiness assessments for AI and advanced analytics use cases.
• Maintenance of an enterprise inventory of information repositories (EDM-Enterprise Data Map).
• Develop, implement, and drive awareness of data management principles, standards, best practices, and processes.
• Gather metrics to demonstrate data management program effectiveness and enablement in the overall implementation of enterprise data strategies and roadmaps.
• Network with business and technical data contacts to understand data pain points and challenges and develop recommendations and strategies for improvement.
• Collaborate with privacy, security, and risk teams to ensure data and analytics solutions and practices align with policies and standards.
• Support leader in the development and ongoing maturity of the data management center of excellence, data management program functions, data governance activities, and other duties as assigned, including providing recommendations for improvement.

Data Management Consultant

Robotics

• Creates a compelling product vision.
• In collaboration with Operations and market leadership, develops and executes a product roadmap with a focus on measurable outcomes.
• Cultivates and maintains an effective relationship with all stakeholders while regularly sharing the vision, roadmaps and progress.
• Actively engage with the stakeholders to elicit, consider and document the needs and constraints to align with organizational strategy and priorities.
• Collaborates with stakeholders and the team to discover, analyze and document the business requirements into Process Definition Documents (PDD).
• Engages and collaborates with the team and stakeholders to create and manage Agile artifacts (e.g. Product Roadmap, Backlog, Release Plan) and information needed for prioritization decision-making and regularly assesses features and costs to determine whether and when to proceed.
• Defines Product KPIs, monitors and reports on metrics/outcomes.
• Drives day-to-day product management decisions by prioritizing and maintaining the sprint backlog for assigned products, balancing the requirements of stakeholders.

Product Owner – RPA

Paralegal

• Serve as a trusted legal partner to senior-level portfolio managers by clearly analyzing and explaining legal and operational considerations in a practical, business-oriented manner.
• Independently manage all aspects of transaction closings and fundings, including: Preparing purchaser information, Completing complex subscription agreements for multiple investor types, Facilitating and managing KYC diligence, Coordinating execution and funding logistics.
• Analyze sophisticated legal documents (e.g., note purchase agreements, indentures, limited partnership agreements, amendments, waivers) and summarize relevant key terms, identify issues, and drive resolution.
• Draft and negotiate a wide range of legal documents, including: Confidentiality agreements, Purchase and sale agreements governing secondary trades of private placements, Bond powers and certificates, Side letters with fund general partners.
• Proactively collaborate with internal and external stakeholders, anticipate needs, and continuously re-prioritize work in a fast-paced, transaction-driven environment.
• Stay current on industry trends, regulatory developments, and legal best practices; proactively identify risks and recommend process improvements.
• Demonstrate a strong “one-team” mindset by mentoring colleagues, supporting cross-training efforts, and contributing to special projects and temporary assignments as needed.

Senior Paralegal – Private Credit, Private Equity

Actuary

• Lead annuity financials
• Lead analysis and explanation of key financial metrics for Individual Annuity quarterly and annual statements
• Evaluate actual-to-expected experience on Individual Annuity interest, expense, and other margins
• Collaborate with Valuation and Modeling centralized functions, and Financial Planning and Analysis function to support transparent, accurate, and unified financial calculations and reporting
• Collaborate with Annuity Valuation and Product Development teams on the development and implementation of actuarial assumptions and inforce management decisions
• Lead Annuity results for our financial forecasting and goal setting cycle (Goals and Plans)
• Lead the development of annuity financial projections and supporting narratives for the annual Goals and Plans efforts, delivering results through others
• Provide sensitivities, projections, and other analysis to identify drivers of results and understand emergence of financials under different scenarios
• Support Annuity strategic objectives
• Serve as subject matter expert on enterprise initiatives requiring individual annuity expertise
• Communicate emerging trends to stakeholders and provide recommendations to drive results
• Support ad hoc analysis for the Board, Executive Leadership, rating agencies, and other stakeholders
• Collaborate with Product Development and other stakeholders on the monitoring and management supporting financial targets

Annuity Actuarial Finance Lead

• Own the integrity and performance of assigned production processes, including upstream data integration, execution, initial output review, and delivery to downstream stakeholders.
• Serve as the accountable leader for production readiness, ensuring processes consistently meet quality, governance, and stakeholder expectations.
• Develop and lead associates supporting production processes, fostering growth, accountability, and a strong sense of ownership across the team.
• Engage with stakeholders and partners to understand broader objectives, dependencies, and opportunities—bringing a systems-level perspective beyond immediate responsibilities.
• Continuously drive operational excellence, identifying and delivering improvements that increase efficiency, reduce risk, strengthen controls, and enhance stakeholder value.
• Balance strong product and model understanding with process expertise, ensuring production processes are fit for purpose without being the ultimate subject matter expert.
• Champion governance and best practices, ensuring alignment with actuarial standards, Securian policies, and enterprise expectations.
• Model and reinforce a culture of accountability, curiosity, and continuous improvement within the team and across partnerships.

Actuarial Production Lead

• Lead the actuarial Valuation COE (VCOE)
• Develop and execute strategies to drive value and enhance valuation for Securian
• Serve as a trusted advisor to executive leadership and the Board: Communicate complex valuation results, emerging issues, and strategic priorities with clarity.
• Direct end-to-end valuation processes: Ensure timely, accurate completion of actuarial balances for GAAP and statutory reporting, while driving continuous improvement.
• Provide analysis and forward-looking guidance to inform future results and potential actions
• Champion governance and compliance: Oversee valuation controls, Audit Committee support, FRCC compliance, and engagement with external auditors.
• Manage the budget for VCOE resources
• Build and inspire a high-performance culture: Lead leaders and their teams, attract high-performing talent, and foster an inclusive environment where innovation and excellence thrive.
• Coach and mentor team members, aligning strengths to strategic priorities and accelerating career growth.
• Oversee the assumption setting process for valuation
• Deliver actionable financial intelligence: Analyze and communicate the financial implications of management decisions, offering forward-looking perspectives that influence strategic decision making.
• Lead regulatory changes and compliance excellence: Spearhead the implementation of VM-22 across the organization, ensuring readiness, adherence to evolving regulatory standards, and connection to business insights.
• Champion continuous improvement and modernization: Identify opportunities to leverage advanced analytics and embed automation to strengthen decision-making and operational efficiency.
• Actively participate in industry and analytics focused conferences to stay aware of evolving regulations, new practices, and emerging technologies

Actuarial Valuation Director

Application Engineer

• Own critical business application support, promptly resolving complex production issues to ensure reliable and efficient operations.
• Drive modernization initiatives such as Application Rationalization and migration to AWS, significantly enhancing our systems' capabilities and performance.
• Become a subject matter expert in Individual Life and Annuity business processes, influencing strategic decisions and technical planning.
• Cultivate strong relationships with stakeholders and cross-functional teams, fostering collaboration and alignment.
• Lead and execute projects through detailed analysis, thoughtful design, robust development, rigorous testing, seamless integration, and successful implementation.
• Encourage innovation and creativity through a proactive test-and-learn approach, contributing actively to continuous improvement.

Application Engineer – Actuarial Systems

Data Engineer

• Design, build and optimize data pipelines and transformations enabling Artificial Intelligence, advanced analytics, and other enterprise use cases.
• Research, recommend, implement, and drive changes to evolve architecture and patterns to meet quickly changing data requirements.
• Collaborate with product managers, data scientists, machine learning engineers, technology teams and other stakeholders to understand requirements, prioritize tasks, and deliver data solutions that excite stakeholders and deliver business value.
• Mentor and consult with team members and other areas to ensure best practices and optimal data solutions are implemented.
• Leverage data governance and data security tooling, processes, and principles to ensure data is secure, easy to find, trusted, and accessible.
• Devise technical solutions to drive business outcomes based on an understanding of customers, business processes and technical requirements.

• Leverage data to drive business outcomes that align with Securian's Enterprise Data Strategy Vision and Operating Principles.
• Work closely with our Digital, Marketing, Sales, and Servicing stakeholders to understand business needs and apply a variety of analysis, visualization, and modeling techniques to address them.
• Use data to solve complex business problems across the organization!
• Perform exploratory analysis and visualization of large data sets to identify opportunities and uncover insights for our stakeholders.
• Design and implement measurement and testing strategies for a variety of models and solutions.
• Work with variety of internal stakeholder groups to understand their business challenges and translate them into data science product and solutions.
• Stay abreast of industry and practice trends.

Senior Data Science Analyst

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.
• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.
• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.
• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.
• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.
• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.
• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.
• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.
• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.