Senior Technology Risk Analyst – AI CoE

Fidelity InvestmentsDurham, NC
Onsite

About The Position

The AI Center of Excellence within Enterprise Technology Risk and Analytics (ETRA) is seeking a motivated and forward-thinking professional to help advance Fidelity's AI Risk Management Program. In this role, you will contribute to the development and execution of AI governance, risk, and control strategies that enable the responsible adoption of Artificial Intelligence technologies across the organization. You will work closely with business, technology, risk, compliance, cybersecurity, and audit partners to identify, assess, and mitigate risks associated with Generative AI, machine learning, intelligent agents, and third-party AI solutions. The role will focus on strengthening AI governance frameworks, evaluating AI control environments, supporting responsible AI practices, and helping the organization navigate the rapidly evolving AI landscape. Partnering with AI Centers of Excellence (AI CoEs), technology leaders, and business stakeholders, you will perform AI risk assessments, evaluate governance and oversight processes, identify opportunities to automate and enhance risk management activities, and support the safe, secure, and compliant adoption of AI capabilities. You will also collaborate with Operational Risk, Cybersecurity, Compliance, Legal, and Internal and External Audit teams to ensure AI-related risks are appropriately managed and aligned with enterprise standards, policies, and regulatory expectations.

Requirements

  • 5 plus years’ experience in AI, information technology risk, cyber security, controls or audit roles
  • Bachelor’s degree in computer science, Technology, or a related field of study preferred.
  • Demonstrated technical abilities in multiple areas (e.g., AI, Data Science, technology infrastructure and application controls, cyber security, access management, cloud, resiliency, etc.)
  • Experience performing detailed technology risk assessments, control assessments or IT audits
  • Strong understanding of cybersecurity, technology risk, and operational risk principles as they relate to AI solutions.
  • Ability to analyze AI architectures, data flows, model development processes, and technical control environments.
  • Ability to communicate complex AI risks and technical concepts to executives, business partners, engineering teams, and auditors.

Nice To Haves

  • You will contribute to a team through your strong knowledge of AI / LLM’s and related information technology processes, governance, controls and a comprehensive understanding of risk, quality control and assurance functions.
  • Your love of solving complex problems, and comfort with ambiguous situations, and your ability to help solve innovative ways to mitigate risk using your advanced analytical and critical thinking skills
  • Your process orientation and understanding of operations and technology enabling you to provide support in the analysis, development and monitoring of controls
  • Experience assessing fundamental AI governance and risk concepts, such as accountability and ownership, classification, access and security, usage and disposal
  • Knowledge of AI Industry standards, frameworks and best practices, such as NIST AI Risk Management Framework, ISO/IEC 42001, SOC2 (with AI controls), ISO 27001, and COBIT.
  • Hands-on experience using AI profiling and analysis tools preferred
  • Your excellent verbal and written communication skills enabling you to prepare and present recommendations to senior management
  • Your ability to build and maintain collaborative working relationships with Information Technology and Business personnel to design and assist in the execution of appropriate controls, design and monitoring

Responsibilities

  • Provide independent oversight of AI risks across Generative AI, machine learning, intelligent automation, and third-party AI ecosystems.
  • Execute AI risk assessments and control evaluations to ensure AI solutions are secure, compliant, responsible, and aligned with enterprise risk appetite.
  • Assess AI governance frameworks, model lifecycle controls, and responsible AI practices to identify emerging risks and opportunities for improvement.
  • Partner with business, technology, compliance, cybersecurity, and audit teams to enable the safe and scalable adoption of AI across the enterprise.
  • Establish and monitor AI risk metrics, KRIs, and reporting to support executive decision-making and risk transparency.
  • Advise stakeholders on industry-leading AI governance frameworks, regulatory expectations, and emerging AI risks.
  • Support AI assurance activities, including control testing, issue management, audit engagement, and regulatory examinations.
  • Drive continuous enhancement of the organization's AI governance, control environment, and responsible AI program.
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