Accenture
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Enginee
Accenture, Chicago, Illinois, United States, 60290
Overview
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 greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization’s total enterprise reinvention.
Group Finance Risk Compliance (FRC), and we give Chief Financial Officers, Chief Risk Officers, Chief Compliance Officers, Chief Data Officers and their executives the sounding board they need and the industry best practices they seek. We’ve got the deep industry experience, the functional insights, the data power, and the digital tech leadership to help our clients make important changes. Through our capabilities in Finance, Risk, Compliance, Data, Controls, GenAI and Transformation we solve our clients’ toughest problems, to get ready for the future. Visit us here: Simplify Compliance and Improve Risk Management | Accenture.
You are An experienced senior consulting executive who has built and delivered transformative AI/ML and GenAI initiatives across Financial Services and/or Insurance. You bring strong client-facing and consulting capabilities, with a proven track record of operationalizing AI — from vendor selection and prototyping to testing, automation, deployment, and monitoring. With a deep understanding of model lifecycle and AI risk governance, you help clients harness AI safely and securely, aligning innovation with regulatory compliance, data security, and business outcomes.
The work
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
What you need
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 of working with Python and understanding of but not limited to libraries like 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
Demonstrated 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 at Accenture varies depending on a wide array of factors, which may include the office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here.
Role location salary ranges
California: $94,400 to $293,800
Colorado: $94,400 to $253,800
District of Columbia: $100,500 to $270,300
Illinois: $87,400 to $253,800
Minnesota: $94,400 to $253,800
Maryland: $94,400 to $253,800
New York/New Jersey: $87,400 to $293,800
Washington: $100,500 to $270,300
#LI-MP
#LI-NA
What we believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here.
Equal Employment Opportunity Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of differences such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. Accenture is committed to providing veteran employment opportunities.
Accommodation and other statements Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation to perform essential functions, you will participate in our reasonable accommodation process. For accommodation needs, please call 1 (877) 889-9009 or contact us via the general contact page.
Other statements: Applicants must have work authorization to work in the US without sponsorship. Candidates currently employed by a client may not be eligible. Job candidates will not be obligated to disclose sealed or expunged records. Accenture prohibits discrimination against employees or applicants who inquire about or discuss pay; disclosure of compensation information is restricted to certain circumstances.
#J-18808-Ljbffr
Group Finance Risk Compliance (FRC), and we give Chief Financial Officers, Chief Risk Officers, Chief Compliance Officers, Chief Data Officers and their executives the sounding board they need and the industry best practices they seek. We’ve got the deep industry experience, the functional insights, the data power, and the digital tech leadership to help our clients make important changes. Through our capabilities in Finance, Risk, Compliance, Data, Controls, GenAI and Transformation we solve our clients’ toughest problems, to get ready for the future. Visit us here: Simplify Compliance and Improve Risk Management | Accenture.
You are An experienced senior consulting executive who has built and delivered transformative AI/ML and GenAI initiatives across Financial Services and/or Insurance. You bring strong client-facing and consulting capabilities, with a proven track record of operationalizing AI — from vendor selection and prototyping to testing, automation, deployment, and monitoring. With a deep understanding of model lifecycle and AI risk governance, you help clients harness AI safely and securely, aligning innovation with regulatory compliance, data security, and business outcomes.
The work
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
What you need
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 of working with Python and understanding of but not limited to libraries like 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
Demonstrated 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 at Accenture varies depending on a wide array of factors, which may include the office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply.
Information on benefits is here.
Role location salary ranges
California: $94,400 to $293,800
Colorado: $94,400 to $253,800
District of Columbia: $100,500 to $270,300
Illinois: $87,400 to $253,800
Minnesota: $94,400 to $253,800
Maryland: $94,400 to $253,800
New York/New Jersey: $87,400 to $293,800
Washington: $100,500 to $270,300
#LI-MP
#LI-NA
What we believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here.
Equal Employment Opportunity Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of differences such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. Accenture is committed to providing veteran employment opportunities.
Accommodation and other statements Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation to perform essential functions, you will participate in our reasonable accommodation process. For accommodation needs, please call 1 (877) 889-9009 or contact us via the general contact page.
Other statements: Applicants must have work authorization to work in the US without sponsorship. Candidates currently employed by a client may not be eligible. Job candidates will not be obligated to disclose sealed or expunged records. Accenture prohibits discrimination against employees or applicants who inquire about or discuss pay; disclosure of compensation information is restricted to certain circumstances.
#J-18808-Ljbffr