AI Governance Lead
Tower One, United States
American Century Investments
Learn how you can plan, invest and manage your investments for all of your financial goals with American Century Investments.Our Firm
American Century Investments® is a leading global asset manager focused on delivering investment results and building long-term client relationships while supporting research that can improve human health and save lives. Founded in 1958, the firm’s 1,400 employees serve financial professionals, institutions, corporations, and individual investors, offering a wide range of investment strategies across a variety of investment disciplines.
We are committed to providing institutional-quality, actively managed solutions with a performance-centered mindset. Our expertise spans global growth equity, global value equity, disciplined equity, multi-asset strategies, global fixed income, alternatives, and ETFs.
Privately controlled and independent, we focus solely on investment management. This empowers us to align our decisions with client expectations and concentrate on their long-term money management needs.
Our culture of winning behaviors exemplifies our dedication to clients every single day. Delivering investment results enables us to distribute over 40% of our dividends—more than $1.8 billion — to the Stowers Institute for Medical Research, a 500-person, non-profit basic biomedical research organization with a controlling interest in American Century Investments. Our dividend payments provide ongoing financial support for the Institute’s work of uncovering the causes, treatments, and prevention of life-threatening diseases, like cancer.
For more information, please visit americancentury.com.
Role Summary:
We are seeking an experienced and dedicated AI Governance Lead to join our team. The successful candidate will be responsible for developing and implementing robust AI governance frameworks, policies, and standards to ensure responsible and ethical AI practices across the organization.
Responsibilities:
- Develop, implement, and maintain comprehensive AI governance frameworks, policies, and standards to ensure ethical and responsible use of AI.
- Collaborate with internal partners such as engineers, data scientists, and product managers to embed AI governance principles into all AI-related projects.
- Lead delivery of an AI Intake and Inventory process and workflow, including associated architectural reviews and risk assessments.
- Map out and implement a strategy that aligns enterprise AI objectives with the NIST framework to ensure standard processes in AI usage and risk management.
- Establish AI risk thresholds and provide AI risk tolerance reports to relevant committees. Identify customer concerns requiring reporting to management.
- Supervise and review compliance to AI policies and procedures across the organization and assess compliance with the AI Risk Management Framework.
- Develop metrics to evaluate the efficiency of AI governance initiatives and make data-driven recommendations for improvement.
- Develop and implement strategies to improve internal and external AI communications.
- Develop comprehensive AI training programs and workshops to raise awareness and educate consumers and internal users on AI governance standard methodologies.
- In coordination with internal partners such as compliance, engage with external collaborators, such as regulators and industry groups, to contribute to discussions on AI governance.
- Collaborate with Legal and Compliance to stay informed on the latest developments in AI regulations and compliance requirements, ensuring that our practices adhere to all relevant laws.
- Be responsible for responses to RFP, Due Diligence, and other AI-related questionnaires.
Qualifications:
- A strong background in AI ethics, governance, corporate audit, or a related field.
- Proven experience in developing and implementing governance frameworks within a dynamic environment.
- Knowledge of AI/ML technologies, their applications, and associated risks.
- Familiarity with global regulatory landscapes and frameworks.
- Strong analytical, problem-solving, communication, and stakeholder management skills, and the ability to think critically.
- Excellent organizational and project management skills.
- Ability to work independently and as part of a team.
- Demonstrates the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven, and Adheres to ethical standards and business practices.
Preferred Qualifications:
- Experience with GDPR, AI Act, and other relevant regulations.
- Familiarity with global AI regulatory landscapes and frameworks.
- Advanced degree in computer science, law, data ethics, or a related field.
Additional Requirements:
Employees are required to be in the office on a scheduled frequency. Adherence to this schedule is essential to fulfilling the expectations of the role.
American Century Investments is committed to complying with the Americans with Disabilities Act and all other applicable Equal Employment Opportunity laws and regulations. As such, American Century strives to provide a reasonable accommodation to any qualified individual under the ADA to perform essential job functions.
American Century Investments believes all individuals are entitled to equal employment opportunity and advancement opportunities without regard to race, religious creed, color, sex, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age for individuals forty years of age and older, military and veteran status, sexual orientation, and any other basis protected by applicable federal, state and local laws. ACI does not discriminate or adopt any policy that discriminates against an individual or any group of individuals on any of these bases.
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©2019 American Century Proprietary Holdings, Inc. All rights reserved.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI governance Computer Science Machine Learning Research
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