Risk Management Sr Con

Securian FinancialSaint Paul, MN
Hybrid

About The Position

The Responsible AI Sr Consultant is a key member of Securian Financial’s Artificial Intelligence Center of Excellence (AI CoE), specifically within the AI Technology & Platform Strategy team. This team serves as the enterprise’s internal experts on how to apply and deliver AI at scale turning strategy into enablement, consultation, and delivery support across the business. AI has the potential to transform the value we provide our customers, clients, and channel partners, but it also introduces unique risks: including bias and discrimination, privacy and information leakage, security vulnerabilities, third-party and vendor risk, model drift, and sustainability concerns. In this role, you will lead the operationalization and scaling of Securian’s responsible AI frameworks, controls, and practices across the enterprise. You will stay current on emerging AI risks, standards, and regulations to provide expert guidance and to drive consistent, auditable application of responsible AI requirements from intake through production and monitoring. You will serve as a primary continuity point between the AI CoE and key compliance partners (Risk, InfoSec, Procurement, Privacy, Legal, DE&I, and Sustainability) to ensure responsible AI expectations are clearly documented, embedded into delivery patterns, and reinforced through repeatable controls and measurable outcomes. Over time, you will help enable a federated operating model where durable ownership of controls and ongoing execution resides with the appropriate compliance parties, while the AI CoE continues to provide subject matter expertise, guidance, and escalation support. This role is ideal for a highly curious, collaborative, and self-organized senior contributor who can lead through influence, connect people and policy to delivery realities, and translate ambiguity into pragmatic governance and swift enablement.

Requirements

  • 7+ years of relevant experience preferred (risk management, compliance, technology governance, or related), including demonstrated work influencing outcomes across multiple stakeholder groups.
  • Strong AI literacy, including an understanding of AI/ML development and deployment lifecycles (traditional ML and GenAI), common failure modes (bias, drift, robustness, privacy/security risks), and practical controls (data governance, testing/validation, monitoring, and third-party considerations)
  • Proven ability to evaluate complex AI use cases, risk scenarios, and regulatory considerations; translate requirements into actionable delivery guidance and evidence that stands up to scrutiny.
  • Curiosity and commitment to staying current on evolving AI regulations, standards, risks, and responsible AI practices.
  • Strong communication skills, including the ability to translate complex topics into clear, actionable guidance for diverse audiences.
  • Ability to lead through influence, build productive relationships, and collaborate with associates across technology, risk, compliance, sustainability, and business teams.
  • Ability to work with ambiguity and help guide teams toward structured, repeatable processes and controls.
  • Experience with AI/ML technologies, data ethics, model governance, or other technology policy and frameworks (e.g., NIST AI Risk Management Framework, EU AI Act).
  • Background in sustainability and DE&I concepts related to technology or AI resource consumption, discrimination, and vendor reputations.

Responsibilities

  • Drive the day-to-day execution and scaling of responsible AI frameworks, controls, and operating practices across Securian Financial
  • Monitor and partner with governance groups on emerging AI risks, regulations, and industry best practices to help shape updates to internal AI policies, principles, safeguards, and risk evaluation methodologies.
  • Facilitate cross-functional alignment across Risk, Infosec, Privacy, Legal, Procurement, DE&I, Sustainability, Data Governance, and Enterprise Technology to ensure consistent interpretation and application of responsible AI requirements.
  • Identify gaps and opportunities in current processes and frameworks; propose and lead improvements and controls that increase speed to deployment while strengthening risk management and auditability.
  • Partner deeply with the AI Risk Management Working Group to evaluate use cases, understand risk profiles, and promote consistent application of responsible AI controls.
  • Coach AI use case owners and delivery teams through the enterprise’s compliance processes from intake to approval providing clarity, coaching, and support to speed to deployment with risk remediation.
  • Curate, enhance, and maintain an enterprise registry of AI Solution Patterns, ensuring it is accurate, auditable, and actionable for both oversight and discoverability needs.
  • Track and report on Securian’s responsible AI maturity, and enterprise trends to enable transparency and accountability.
  • Partner with the Enterprise Sustainability and Diversity Equity & Inclusion teams to evaluate and recommend practices to address AI’s environmental impact and risks of discrimination.
  • Collaborate with Enterprise Technology, Data Governance, and other stakeholders to ensure responsible AI expectations are embedded in solution architectures, vendor assessments, and delivery patterns.
  • Contribute to the development of training materials, communications, and client and vendor inquiries around Securian’s responsible use of AI along our customer, client, and channel partner lifecycle.

Benefits

  • Paid time off
  • Leave programs (parental leave, caregiver leave for family members, bereavement and military leave)
  • Nine company paid holidays
  • Company-funded pension plan
  • 401(k) retirement plan
  • Medical, dental and vision coverage
  • Volunteer paid time off
  • Dollar-for-dollar matching gift program
  • Associate Resource Groups
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