What great looks like in this role

This leader will be responsible for engaging with data scientists, controls partners, and other leaders to define enterprise AI/ML standards and controls, and for a governance program to catalog, assess, measure and monitor the firm’s algorithmic assets and models.  Success also includes facilitating education and advocacy of principled AI/ML systems, best practices, emerging AI techniques, and critical topics including transparency, fairness, auditability and accountability.

Our ideal candidate has extensive knowledge and practitioner experience with risk management programs in the financial industry, is fluent in machine learning (ML) and Artificial Intelligence (AI) methods, processes and their novel challenges, and possesses the business acumen necessary to champion an interdisciplinary approach that empowers our business for success.  

Objectives of the role

• Set strategy and roadmaps and drive the ongoing vision and execution of the AI Governance program 

• Design and activate measurable, enterprise standards and controls for risk management and maximizing business value by democratizing our AI/ML capabilities

• Develop a pragmatic, accountable stewardship program across the enterprise and drive our data culture consistent with our principles.  Partner closely with leaders in Enterprise Risk Management, Compliance, Law, Audit, Data Science, our business teams and subsidiaries. 

• Envision and deliver scalable architectures and governance-by-design best practices for data scientists and business teams that address novel AI/ML challenges. 

• Execute AI governance operations including assessments, risk tracking, controls monitoring, and L1 support

• Design oversight insights and key metrics to measure program effectiveness.

• Maintain a strategic roadmap for AI governance roll-out across the enterprise.

• Continue to hire and lead top talent

• Identify, follow and formulate opinions on trends in industry, academia and legislature.

Our goal is to create a team of innovative, high-performing, curious, and resourceful people who like to think big, start small, scale quickly and are dedicated to their ideas to see programs from conception to delivery.  This role is based out of our Boston, MA office and will work in cross-functional teams collaborating with subject matter experts across the enterprise.

Qualifications:

• Bachelor’s degree, preferably in Computer Science, Advanced Analytics, Data Science or similar majors

• Extensive experience and successful track record of establishing and executing complex, strategic, cross-functional enterprise programs with a high degree of change management.

• 10+ years of risk management and commercial AI/ML experience preferably within the financial services industry

• Deep familiarity with data policy/standards development and management practices

• Exceptional communication skills, both written and verbal

• Exceptional influencing abilities across all levels of the organization

• Authorized to work in the USA without sponsorship.

Preferred Qualifications:

• ​Masters or PhD in Computer Science, Advanced Analytics, Data Science or similar majors

• JD or advanced certifications in data governance, privacy, cyber security or similar fields

• Knowledge of methods for designing, developing, testing, peer-reviewing, and deploying machine learning and artificial intelligence solutions.  Practitioner experience is considered a strong plus.

• Strong understanding of data management and data protection concepts, principles and practices

• Practitioner experience with model monitoring and AI/ML DevOps

• Financial services knowledge, including core business processes and regulations.

MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.