Risk Intelligence Program Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Identify, prioritize, coordinate, and advance analytical initiatives within the Risk organization.

• Act as the main point of contact between Risk Services stakeholders, internal Data Science and Technology teams, and external AI vendor partners.

• Create and manage a backlog and roadmap of AI opportunities for Risk Services.

• Discover AI opportunities to enhance operational efficiency, mitigate risk, improve decision-making, or create business value.

• Assess and rank initiatives based on their business impact, feasibility, data availability, regulatory factors, resource capacity, and likelihood of approval.

• Set success metrics and performance indicators for AI initiatives.

• Oversee vendor delivery tasks, requirements, testing, implementation planning, and performance evaluations.

• Track vendor commitments, deliverables, timelines, and anticipated business outcomes.

• Convert business goals into requirements, user stories, and use cases in collaboration with Data Science.

• Organize prioritization and scheduling of AI development activities.

• Confirm that delivered solutions align with documented business requirements.

• Ensure AI initiatives comply with governance, risk management, compliance, and security standards.

• Engage in AI intake, evaluation, and approval workflows.

• Collaborate with teams from Risk, Legal, Compliance, and Information Security.

• Aid in documentation for AI models, decision-making logic, and business processes for audit and client transparency.

• Investigate, assess, and pilot AI, machine learning, and risk management technologies.

• Foster awareness and integration of AI capabilities across Risk Services.

• Create business cases, presentations, executive summaries, and performance reports.

• Monitor the realization of benefits and suggest improvements to models and AI workflows.

• Carry out additional duties as assigned.

⛳️ Requirements

• Bachelor’s degree in business administration, Information Systems, Computer Science, Data Analytics, Finance, Risk Management, Engineering, or a related field.

• Preferred professional certifications in project management, business analysis, data analytics, AI governance, or related fields (e.g., PMP, CBAP, Agile, AI governance certifications).

• Over 6 years of experience leading or supporting analytics, artificial intelligence, machine learning, data science, or related business transformation projects, including stakeholder coordination, requirements development, prioritization, and solution delivery.

• More than 5 years of experience with AI governance, model risk management, responsible AI principles, AI regulatory considerations, explainability, auditability, or technology governance frameworks within a regulated industry or financial services setting.

• Familiarity with Artificial Intelligence, Machine Learning, Generative AI, and emerging AI technologies, including their business applications, capabilities, limitations, and associated risks.

• Understanding of fraud prevention, risk management, payments, lending, or related operational settings.

• Capability to identify, assess, prioritize, and manage a portfolio of AI opportunities based on business value, risk, feasibility, and organizational readiness.

• Proficiency in translating business goals into requirements, use cases, user stories, success metrics, and implementation plans for Data Science and Technology Delivery teams.

• Strong program and project management abilities.

• Effective communication skills with business stakeholders, technical teams, and third-party vendors.

• Experience in developing business cases, roadmap updates, status reports, and performance metrics.

• Knowledge of data governance concepts including data quality, lineage, privacy, security, and lifecycle management.

• Excellent analytical, organizational, problem-solving, and decision-making skills.

• Proficiency with standard business productivity, reporting, visualization, and collaboration tools.

• This role is currently not eligible for sponsorship.

🏝️ Benefits

• Competitive wages.

• Medical with telemedicine options.

• Dental and Vision insurance.

• Basic and Optional Life Insurance coverage.

• Paid Time Off (PTO).

• Maternity, Parental, and Family Care leave.

• Community Volunteer Time Off.

• 12 Paid Holidays.

• Company Paid Disability Insurance.

• 401k with employer matching.

• Health Savings Accounts (HSA) with company contributions.

• Flexible Spending Accounts (FSA).

• Supplemental Insurance options.

• Mental Health and Well-being support through Employee Assistance Program (EAP).

• Tuition Reimbursement.

• Wellness program.

• Remote-first, flexible working environment.

• Commitment to psychological safety, well-being, and belonging.