EY
Risk AI & Engineering - Senior Manager - Consulting - Location Open
EY, Washington, District of Columbia, us, 20022
Overview
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. Join to apply for the
Risk AI & Engineering - Senior Manager - Consulting - Location Open
role at
EY .
Location: Anywhre in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI.
The opportunity EY is significantly investing in their award-winning AI & Data practice. As a Risk AI & Analytics Senior Manager, you will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes, with a specific focus on risk consulting. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering, with a deep understanding of internal audit, internal controls, and compliance.
Your Key Responsibilities
Leading a team working with a wide variety of clients to define, develop, and operationalize their AI strategy at scale, with a focus on risk consulting.
Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision
Leading teams of AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients
Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
Collaborating with diverse teams and stakeholders (Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps, Internal Auditors, External Auditors, etc.) to implement and maintain solutions in the client’s platform of choice and/or integrate AI solution into client’s ecosystem.
Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
Working on large-scale client engagements, fostering relationships with client personnel at appropriate levels, delivering quality client services, and driving high-quality work products within timeframes and budget
Collaborating, influencing and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making
Qualifications
Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Experience interacting with and designing solutions for internal audit, internal controls, compliance, and business processes (both finance and operations)
Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles
Minimum of 3-5+ years of experience directly managing technical teams and/or consulting teams
Experience using and managing the deployment of Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
Experience working with popular ML packages such as scikit-learn, PyTorch and ONNX, or related ML libraries.
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
Experience with MLOps methods and platforms such as MLFlow
Strong skills in Python
Experience with CI/CD and test-driven development
Experience designing, building, and maintaining ML models, frameworks, and pipelines
Experience designing and deploying end to end ML workflows on at least one major cloud computing platform
Understanding of data structures, data modelling and software engineering best practices
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
Experience with containerization and scaling models
Willingness to travel to meet client obligations
Strong knowledge of AI technologies and frameworks
Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes
Team player
Preferred qualifications
Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale
Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection
Working experience with Agile and/or Scrum methods of delivery
Working experience with design thinking
Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
Experience fine-tuning Generative AI models
What We Look For
You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
What We Offer You
We offer a comprehensive compensation and benefits package including medical and dental coverage. The base salary range for this job in all geographic locations in the US is $142,600 to $325,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,100 to $370,300. Individual salaries within those ranges are determined by education, experience, knowledge, skills and geography. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Professional Services
#J-18808-Ljbffr
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. Join to apply for the
Risk AI & Engineering - Senior Manager - Consulting - Location Open
role at
EY .
Location: Anywhre in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Come help define the future of AI.
The opportunity EY is significantly investing in their award-winning AI & Data practice. As a Risk AI & Analytics Senior Manager, you will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes, with a specific focus on risk consulting. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering, with a deep understanding of internal audit, internal controls, and compliance.
Your Key Responsibilities
Leading a team working with a wide variety of clients to define, develop, and operationalize their AI strategy at scale, with a focus on risk consulting.
Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision
Leading teams of AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients
Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
Collaborating with diverse teams and stakeholders (Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps, Internal Auditors, External Auditors, etc.) to implement and maintain solutions in the client’s platform of choice and/or integrate AI solution into client’s ecosystem.
Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
Working on large-scale client engagements, fostering relationships with client personnel at appropriate levels, delivering quality client services, and driving high-quality work products within timeframes and budget
Collaborating, influencing and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making
Qualifications
Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Experience interacting with and designing solutions for internal audit, internal controls, compliance, and business processes (both finance and operations)
Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles
Minimum of 3-5+ years of experience directly managing technical teams and/or consulting teams
Experience using and managing the deployment of Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
Experience working with popular ML packages such as scikit-learn, PyTorch and ONNX, or related ML libraries.
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
Experience with MLOps methods and platforms such as MLFlow
Strong skills in Python
Experience with CI/CD and test-driven development
Experience designing, building, and maintaining ML models, frameworks, and pipelines
Experience designing and deploying end to end ML workflows on at least one major cloud computing platform
Understanding of data structures, data modelling and software engineering best practices
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
Experience with containerization and scaling models
Willingness to travel to meet client obligations
Strong knowledge of AI technologies and frameworks
Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes
Team player
Preferred qualifications
Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale
Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection
Working experience with Agile and/or Scrum methods of delivery
Working experience with design thinking
Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
Experience fine-tuning Generative AI models
What We Look For
You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
What We Offer You
We offer a comprehensive compensation and benefits package including medical and dental coverage. The base salary range for this job in all geographic locations in the US is $142,600 to $325,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,100 to $370,300. Individual salaries within those ranges are determined by education, experience, knowledge, skills and geography. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Professional Services
#J-18808-Ljbffr