Enterprise Risk Officer

MFS Investment ManagementBoston, MA
$132,500 - $198,500Hybrid

About The Position

The Enterprise Risk Officer leads the development, advancement, and continuous improvement of MFS’ enterprise risk framework for Technology and Artificial Intelligence (AI). Serves as the Enterprise Risk subject matter expert for Tech/AI risk assessment and Tech/AI risk mitigation across MFS, ensuring the program effectively meets the needs of the firm and adapts to evolving regulatory expectations. The role is responsible for helping establish, maintain, and operationalize risk management and governance practices for AI-enabled solutions, machine learning, generative AI, intelligent automation, advanced analytics, and related emerging technologies. Working closely with the MFS AI Governance Group and second-and first-line stakeholders, the incumbent provides effective challenge and practical risk guidance to support responsible AI adoption and resilient technology operations consistent with MFS’ risk appetite, regulatory obligations, and strategic objectives.

Requirements

  • Bachelor’s degree or equivalent work experience.
  • 8-12+ years of relevant work experience in risk (enterprise, operational, technology, or IT risk), investment management, financial services, or technology.
  • Demonstrated knowledge of AI governance, AI risk management, machine learning, generative AI, intelligent automation, advanced analytics, model governance, data governance, and emerging technology risk.
  • Demonstrated experience with global technology and operational resilience regulations, e.g., DORA and UK Operational Resilience, and evolving AI regulatory frameworks and best practices.
  • Ability to assess AI and technology risks and translate technical and emerging technology risks into practical business, control, and governance considerations for senior stakeholders.
  • Strong analytical skills, with a proven ability to work independently and synthesize complex information.
  • Strong project management and organizational skills, including the ability to complete projects and reports within communicated deadlines.
  • Excellent communication and interpersonal skills, capable of working with all levels of management and collaboratively across team and departmental boundaries.
  • Some periodic travel, domestic and international, may be required.
  • In-depth knowledge and hands-on experience using Archer GRC preferred.

Nice To Haves

  • Experience implementing, operating, or independently reviewing AI governance or responsible AI programs, including AI use case intake, AI vendor risk, and AI control design.
  • Experience with Governance, Risk & Compliance (GRC) platforms, workflow tools, risk analytics, and data visualization tools such as Tableau or Power BI.
  • Understanding of information security, third-party risk, model risk, SOX, COSO, and operational resilience requirements.
  • Experience within investment management or asset management.

Responsibilities

  • Lead the design and operational execution of MFS’ Technology and AI Risk program, ensuring it meets business objectives, aligns to global standards, and adapts to emerging threats, business change, and regulatory updates.
  • Partner with, and provide second-line support to, the MFS AI Governance Group to operationalize the firm’s AI governance framework.
  • Support intake, review, approval, and ongoing monitoring processes for AI tools and use cases (generative AI, algorithmic AI, and agentic solutions).
  • Conduct and facilitate risk assessments for AI, generative AI, machine learning, intelligent automation, and advanced analytics.
  • Assess risks related to transparency, explainability, reliability, bias, fairness, privacy, data quality, security, resilience, human oversight, and third-party dependency.
  • Develop practical risk mitigation recommendations, monitor action plans through completion, and escalate significant risks, issues, and control gaps through appropriate governance channels.
  • Assess technology risks arising from the integration of new tools with legacy systems, cloud and platform adoption, and the modernization of core infrastructure, coordinating with GIT, Information Security, and Data Governance.
  • Evaluate the design and effectiveness of Tech and AI-related governance controls, key risk indicators, monitoring routines, and documentation practices; support the development of risk metrics, dashboards, and reporting for senior management and governance committees.
  • Partner with third-party risk and business owners to assess concentration, operational, cyber, contractual, and resilience risks associated with technology and AI vendors, including fourth-party dependencies.
  • Lead or support targeted risk assessments for significant technology, data-driven, AI-enabled, and transformation initiatives, evaluating impacts on governance, controls, data, process ownership, and operational resilience.
  • Facilitate workshops and training to advance the organization’s understanding of responsible AI and technology risk, and build trusted relationships across Risk, Technology, Compliance, Legal, Information Security, Data Governance, and the business.

Benefits

  • Competitive incentive bonus
  • MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company - sponsored 401(k)
  • Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
  • Education Assistance: Tuition reimbursement up to $8,000 annually
  • Education Assistance: Access to discounted tutors and college coaches
  • Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
  • Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
  • Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
  • Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps
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