Accenture
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Enginee
Accenture, Austin, Texas, us, 78716
Overview
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Engineer
In Strategy & Consulting we work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier. Our Strategy & Consulting services help architect and accelerate all aspects of an organization’s total enterprise reinvention, supported by technology, data, analytics, AI, change management, talent and sustainability capabilities.
We are Finance Risk Compliance (FRC), providing senior leaders with the industry best practices and capabilities to simplify compliance and improve risk management. Through capabilities in Finance, Risk, Compliance, Data, Controls, GenAI and Transformation we help clients address their toughest problems and prepare for the future.
Responsibilities
Support and lead client engagements focused on deploying AI/GenAI solutions, navigating regulatory landscapes, and delivering measurable business outcomes
Drive execution of AI initiatives by evaluating vendor platforms, designing and testing prototypes, integrating enterprise data pipelines, and automating workflows
Assist in providing oversight across the model lifecycle — supporting development, independent validation, monitoring, and control enhancements for model and AI governance
Partner with clients to test and deploy GenAI and traditional AI models, ensuring alignment with ethical AI principles, operational controls, and business context
Help guide implementation of AI risk mitigation frameworks, addressing data security, privacy, access control, explainability, model bias, and monitoring
Collaborate with technology teams to ensure seamless deployment and automation of AI/GenAI solutions in production environments
Evaluate third-party AI platforms, LLM providers, and emerging tools for fit, functionality, compliance, and risk exposure
Translate complex AI and model monitoring outputs into executive-ready insights, helping clients act on results in real time
Travel as needed based on client expectations
Qualifications
5 years of consulting experience from a large, competitor firm, delivering AI/ML or model lifecycle solutions in Financial Services and/or Insurance, including hands-on client delivery
5 years of experience supporting the testing, automation, monitoring, or deployment of AI/ML applications in production environments
3 years of experience implementing model risk governance frameworks, including controls for model validation, bias mitigation, and performance monitoring
Experience with Python and understanding of libraries such as LangChain and Huggingface
Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., Engineering, Information Systems, Applied Mathematics)
Bonus points if
You have experience in model validation, audit, or model risk management within a regulated Financial Services environment
Prior experience working in or with regulatory bodies (e.g., OCC, FRB, OSFI, FDIC) in model supervision, AI governance, or data risk
Experience managing deployment and risk controls for credit risk, AML/KYC, fraud detection, or marketing models
Familiarity with leading AI/GenAI vendor platforms, including LLMs, open-source models, and APIs (e.g., OpenAI, Anthropic, Amazon Q, Microsoft Copilot)
Hands-on experience with cloud environments (AWS, Azure, GCP) or MLOps tools for automating and monitoring AI pipelines
Understanding of data security principles, including data encryption, access management, PII handling, and compliance with GDPR/CCPA/OSFI B-13
Experience supporting business transformation through AI
Compensation and location Compensation varies by location, office, role, skill set and experience. A range is provided for California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey, and Washington as part of our disclosure. We accept applications on an on-going basis with no fixed deadline to apply. Benefits information is available here.
Additional information
Role location and salary ranges are listed by location as part of our disclosure.
Equal Employment Opportunity statements apply. Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Applicants must have work authorization without sponsorship; internal considerations may apply for candidates currently employed by a client or affiliated Accenture business.
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In Strategy & Consulting we work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier. Our Strategy & Consulting services help architect and accelerate all aspects of an organization’s total enterprise reinvention, supported by technology, data, analytics, AI, change management, talent and sustainability capabilities.
We are Finance Risk Compliance (FRC), providing senior leaders with the industry best practices and capabilities to simplify compliance and improve risk management. Through capabilities in Finance, Risk, Compliance, Data, Controls, GenAI and Transformation we help clients address their toughest problems and prepare for the future.
Responsibilities
Support and lead client engagements focused on deploying AI/GenAI solutions, navigating regulatory landscapes, and delivering measurable business outcomes
Drive execution of AI initiatives by evaluating vendor platforms, designing and testing prototypes, integrating enterprise data pipelines, and automating workflows
Assist in providing oversight across the model lifecycle — supporting development, independent validation, monitoring, and control enhancements for model and AI governance
Partner with clients to test and deploy GenAI and traditional AI models, ensuring alignment with ethical AI principles, operational controls, and business context
Help guide implementation of AI risk mitigation frameworks, addressing data security, privacy, access control, explainability, model bias, and monitoring
Collaborate with technology teams to ensure seamless deployment and automation of AI/GenAI solutions in production environments
Evaluate third-party AI platforms, LLM providers, and emerging tools for fit, functionality, compliance, and risk exposure
Translate complex AI and model monitoring outputs into executive-ready insights, helping clients act on results in real time
Travel as needed based on client expectations
Qualifications
5 years of consulting experience from a large, competitor firm, delivering AI/ML or model lifecycle solutions in Financial Services and/or Insurance, including hands-on client delivery
5 years of experience supporting the testing, automation, monitoring, or deployment of AI/ML applications in production environments
3 years of experience implementing model risk governance frameworks, including controls for model validation, bias mitigation, and performance monitoring
Experience with Python and understanding of libraries such as LangChain and Huggingface
Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., Engineering, Information Systems, Applied Mathematics)
Bonus points if
You have experience in model validation, audit, or model risk management within a regulated Financial Services environment
Prior experience working in or with regulatory bodies (e.g., OCC, FRB, OSFI, FDIC) in model supervision, AI governance, or data risk
Experience managing deployment and risk controls for credit risk, AML/KYC, fraud detection, or marketing models
Familiarity with leading AI/GenAI vendor platforms, including LLMs, open-source models, and APIs (e.g., OpenAI, Anthropic, Amazon Q, Microsoft Copilot)
Hands-on experience with cloud environments (AWS, Azure, GCP) or MLOps tools for automating and monitoring AI pipelines
Understanding of data security principles, including data encryption, access management, PII handling, and compliance with GDPR/CCPA/OSFI B-13
Experience supporting business transformation through AI
Compensation and location Compensation varies by location, office, role, skill set and experience. A range is provided for California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey, and Washington as part of our disclosure. We accept applications on an on-going basis with no fixed deadline to apply. Benefits information is available here.
Additional information
Role location and salary ranges are listed by location as part of our disclosure.
Equal Employment Opportunity statements apply. Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Applicants must have work authorization without sponsorship; internal considerations may apply for candidates currently employed by a client or affiliated Accenture business.
#J-18808-Ljbffr