Accenture
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Enginee
Accenture, Detroit, Michigan, United States, 48228
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Engineer
Join to apply for the
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Engineer
role at
Accenture . 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. We are: Finance Risk Compliance (FRC), and we give Chief Financial Officers, Chief Risk Officers, Chief Compliance Officers, Chief Data Officers and their execs 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. 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. 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. Here’s 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. Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. We believe that no one should be discriminated against because of their differences. 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 federal, state, or local law.
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Join to apply for the
Manager or Senior Manager - AI/GenAI Governance, Model Risk & Compliance Engineer
role at
Accenture . 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. We are: Finance Risk Compliance (FRC), and we give Chief Financial Officers, Chief Risk Officers, Chief Compliance Officers, Chief Data Officers and their execs 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. 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. 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. Here’s 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. Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. We believe that no one should be discriminated against because of their differences. 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 federal, state, or local law.
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