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Consulting Manager, Responsible AI, US
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. Come help define the future of AI while adhering to ethical, compliance and regulatory requirements.
EY is significantly investing in their award-winning AI & Data practice. You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to design and implement responsible AI governance structures, ModelOps technology, and AI risk enablement frameworks for our clients.
Your key responsibilities
As a Responsible AI Manager, you will be lead clients in their pursuit to develop and operationalize AI strategy, governance and risk management framework, ModelOps architecture and other capabilities adhering to their internal enterprise level policies and procedures.
Skills and attributes for success
Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision and adheres to their enterprise policies and procedures and AI regulatory and compliance requirements
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 Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain ModelOps target architecture in client’s platform of choice
Designing and implementing ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, and accountability
Leading efforts to identify and mitigate biases in AI algorithms and data, employing techniques such as fairness-aware machine learning and bias detection
Collaborating with the client’s team to integrate ModelOps solution into their existing ecosystem
Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes
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. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
Seeking out information to learn about emerging methodologies and technologies
Clarifying problems by driving to understand the true issue
Looking for opportunities for improving methods and outcomes
Collaborating, influencing and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making
To qualify for the role you must have
Bachelor’s degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Minimum of 5 years of professional consulting experience in business or technology consulting or similar roles
Proven experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications
Strong data science and/or data engineering experience
Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies
Strong knowledge of AI technologies and frameworks
Communication and critical thinking are essential. Must be able to listen and understand the question and develop and deliver clear insights
Independent and able to manage and prioritize workload
Ability to adapt quickly and positively to change
A valid driver’s license in the US; willingness and ability to travel to meet client needs
Team player
Ideally, you’ll also have
Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection
Certification in relevant areas such as AI ethics, data ethics, or responsible AI is a plus.
Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale
Working experience with Agile and/or Scrum methods of delivery
Working experience with design led thinking
Microsoft, AWS, ServiceNow, or Snowflake Certifications in the Data & AI domain
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