Remote Governance Developer Jobs

Requirements

• Support organisations to operationalise trustworthy AI principles across the AI lifecycle.
• Help design accountability structures, policies, standards and control frameworks that enable the safe development, deployment and use of AI systems.
• Help organisations understand whether their AI systems are performing as intended and operating within acceptable risk thresholds.
• Support the design and execution of evaluation, testing and validation activities covering model performance, bias, explainability, robustness and other key trust considerations.
• Help organisations identify and manage AI-related risks while enabling innovation and business value.
• Support clients to build practical governance frameworks, operating models, accountability structures and decision-making processes that promote responsible AI adoption.
• Work with clients to assess AI use cases, model types and assess AI-related risks.

Skills

Requirements

• Lead, mentor, and grow a team of AI Security Engineers and Analysts.
• Translate enterprise AI security strategy into actionable roadmaps, programs, and measurable outcomes.
• Set clear objectives, performance metrics, and accountability for AI security initiatives.
• Drive cross-functional collaboration across security, engineering, data science, legal, privacy, and compliance teams.
• Oversee workforce planning, hiring, onboarding, and succession planning.
• Foster a culture of continuous learning, innovation, and responsible AI adoption.
• Design and oversee the enterprise Responsible AI and AI Security governance framework.
• Develop and maintain AI security policies, standards, and operating procedures.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Develop and implement the enterprise AI governance framework, policies, standards, and procedures
• Establish AI risk management processes aligned with regulatory expectations and industry frameworks
• Define AI governance roles, responsibilities, accountability structures, and escalation processes
• Conduct and oversee AI risk assessments for internally developed AI, third-party platforms, vendors, and customer-facing AI solutions
• Evaluate AI risks related to security, data exposure, bias, explainability, model drift, and regulatory compliance
• Partner with security and architecture teams to define compensating controls and risk treatment plans
• Maintain the enterprise AI inventory and AI risk register
• Monitor evolving AI regulations, supervisory guidance, and industry expectations

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Implement and maintain the AI risk management framework, AI risk management policy, and AI risk capabilities to identify, measure, manage, monitor, and report risks related to AI.
• Identify heightened and novel risks presented by non-Traditional AI and oversee controls in line with AXP’s risk and control framework.
• Execute monitoring and testing processes to continuously evaluate AI risks.
• Identify emerging AI risk themes.
• Collaborate with leadership across Technology, Innovation, Risk, Legal, Data and other organizations to report on the organization’s AI risk profile for AI.
• Develop Board reports on AI risk profile and mitigation strategies.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Provide first-line governance for AI systems across their full lifecycle
• Lead technical assessments for AI License to Operate decisions
• Independently evaluate and probe AI systems to verify that they are safe, robust, and operating within risk appetite
• Apply and contribute to evaluation, observability, and safety standards
• Assess risks across complex AI systems
• Produce the technical risk picture for built AI systems
• Consult on the design of high-risk AI systems
• Partner with Data Science, ML Engineering, Software Engineering, Risk & Compliance teams

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget

Skills

Requirements

• Senior leadership experience
• Deep expertise in ethical AI
• Consulting-grade stakeholder engagement skills
• End-to-end understanding of AI initiatives
• Strong governance, risk management and assurance capability
• Commercial mindset with ability to translate AI opportunities into business outcomes

Benefits

• Parental Leave

Skills

Requirements

• Guide staff through the full lifecycle of AI/ML use case intake
• Support risk assessments and governance reviews
• Coordinate with enterprise teams to maintain a robust AI/ML inventory
• Ensure completeness and accuracy of intake records and documentation
• Serve as an AI/ML governance liaison between clinical, research, operational, and engineering teams
• Develop tools and processes that strengthen governance practices and lifecycle monitoring

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Proven project/program management capabilities
• Solid understanding of risk management frameworks and the Three Lines of Defense model in large organizations
• Experience working closely with model risk and/or model development functions and experience in Model Risk Management
• Strong stakeholder management and teamwork skills, with clear communication and effective relationship building
• Ability to synthetize data and build commentary to share with a senior audience as needed
• Self-motivation, outstanding organizational skills and ability to work independently in a fast-paced environment
• Intellectual curiosity with a proven ability to learn quickly

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Stock Options
• Training Budget
• Wellness Programs

Skills

Requirements

• Technical AI governance and assurance
• Operationalise AI governance requirements across the full AI lifecycle
• Review AI and ML systems at a technical level
• Translate technical system characteristics into clear governance, risk, and regulatory positions
• Conduct risk assessments and assurance reviews of AI systems

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Professional Development

Skills

Requirements

• 3+ years of experience in AI governance and risk management
• Strong understanding of AI and machine learning concepts
• Experience with regulatory compliance and risk management frameworks
• Ability to lead complex projects and teams
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving skills
• Ability to work in a fast-paced environment and adapt to changing priorities

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks.
• Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations.
• Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible.
• Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management.
• Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks.
• Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations.
• Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible.
• Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management.
• Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• 3 plus years of experience
• Excellent project management and communication skills
• Excellent analytical, quantitative, interpersonal and organizational skills
• Team oriented and able to pick up technical concepts quickly
• Comfort operating in areas of evolving regulation and limited precedent
• Programming skills

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Bachelor's degree required
• Demonstrated interest in artificial intelligence through coursework, research, internships or applied projects required
• Demonstrated ability to interpret complex information and identify practical business implications required
• Experience analyzing technology policy, AI governance, product risk or similar domains required
• A commitment to working on-site at Gallup's San Francisco office at least three days per week required
• Eligibility to work in the U.S. required; this position is not eligible for employment visa sponsorship

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks.
• Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations.
• Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible.
• Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management.
• Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• 10+ years of experience in AI/ML space
• Bachelor’s degree in quantitative field (Computer Science, Engineering, Data Science, Mathematics)
• Deep technical understanding of AI/ML in the context of governance, controls, and compliance
• Wide and deep grasp of the components and mechanics of traditional ML, deep learning multi-modal models, and agentic construct
• Proven success managing large scale, complex AI/ML related initiatives with cross functional stakeholders
• Strong demonstrated technical writing skills geared to technical, regulatory, and executive audiences
• Proven technology practitioner with specialized focus on data management

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Bachelor’s degree in a relevant discipline (e.g., Computer Science, Engineering, Law, Risk, or Compliance)
• Experience operating AI or technology governance processes within enterprise SaaS or regulated environments
• Strong understanding of CPaaS, CCaaS, and UCaaS product landscapes and how AI is embedded within them
• In-depth knowledge of the EU AI Act and related frameworks (NIS2, NIST AI RMF, ISO 42001)
• Proven ability to coordinate multi-stakeholder reviews and manage parallel approvals efficiently

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• Develop and maintain AI risk frameworks
• Advise internal stakeholders on AI strategy
• Ensure ING's AI strategy aligns with global standards and regulatory expectations
• Collaborate with other 2nd Line of Defense (2LoD) functions and external regulators
• Conduct thematic deep dives and reviews on operational risk
• Train junior team members and communicate requirements to NFR, Compliance and Model Risk teams
• Monitor regulatory developments and ensure ING's compliance with relevant guidelines
• Drive simplification and risk-based approaches in NFR, Compliance and Model Risk processes

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Develop and maintain AI risk frameworks
• Advise internal stakeholders on AI strategy
• Ensure ING's AI strategy aligns with global standards and regulatory expectations
• Collaborate with other 2nd Line of Defense (2LoD) functions and external regulators
• Drive optimization of risk processes to ensure efficiency, effectiveness, and scalability

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Professional Development

Skills

Requirements

• Establish AI/ML risk management methodologies aligned with regulatory guidelines, industry best practices, and internal risk policies
• Develop standards for model documentation, validation, monitoring, testing, and explainability
• Define and maintain the enterprise AI/ML governance framework, including principles, policies, procedures, and lifecycle controls
• Drive the creation and adoption of responsible AI principles across teams and products
• Oversee model cataloging, classification, and risk scoring across the enterprise
• Establish and maintain enterprise-wide AI audits, controls, and compliance monitoring mechanisms
• Introduce tools and platforms that support transparency, traceability, and accountability across the model lifecycle
• Ensure consistent governance coverage across internal models, customer-facing AI, vendor solutions, and generative AI use cases

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 3+ years of experience in AI governance and regulatory affairs
• Strong understanding of AI and machine learning concepts
• Experience with risk management and compliance frameworks
• Excellent communication and project management skills
• Ability to work in a fast-paced environment
• Strong analytical and problem-solving skills
• Experience with data science and analytics tools
• Ability to travel up to 20% of the time

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Professional Development

Skills

Requirements

• Use Case Management & Value Realisation
• Business Engagement & Ideation
• Collaboration & Enablement
• Governance & Policy Ownership
• Operationalisation of AI
• Translate AI governance frameworks into actionable processes and controls across business units
• Establish metrics and dashboards to track AI solution performance, accuracy, fairness and reliability
• Support the deployment and monitoring or AI models in production

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Gym Membership

Skills

Requirements

• Provide high-impact administrative and governance support to the WM GenAI team
• Ensure efficient meeting operations, accurate documentation, and consistent stakeholder communication
• Coordinate complex calendars and meeting logistics
• Prepare agendas and materials, capture and distribute minutes and action items
• Maintain committee artifacts (templates, charters, version control ) to support ample governance and compliance

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• 7+ years leadership experience in related field
• Bachelor's Degree in Computer Science, Data Science, Law, or Healthcare Management or related field
• Experience in AI governance framework development and implementation
• Ability to lead day-to-day management of AI governance programs
• Collaboration with various departments and stakeholders to promote a culture of ethical AI innovation

Benefits

• 401k Matching
• Flexible Hours
• Health Insurance
• Remote Work
• Training Budget
• Wellness Programs

Skills