Risk AI & Engineering - Senior Manager - Consulting - Location Open

Tech Consulting AI & Quantitative Modeling Risk AI and Analytics Senior Manager

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 youll 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.

This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. We are looking for leaders at the intersection of Artificial Intelligence strategy and the scaling of AI and Machine Learning Operations capabilities

Your key responsibilities

As an AI Senior Manager you will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively build applications efficiently and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

You will be leading a team working with a wide variety of clients to define develop and operationalize their AI strategy at scale.

Skills and attributes for success

This role will work to deliver tech at speed innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.

• 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 clients 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 clients platform of choice and or integrate AI solution into clients 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. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
• 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

• Bachelors 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

Ideally youll also have

• 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 toAIethics privacy and data protection
• Working experience with Agile and/or Scrum methods of delivery
• Working experience with design led 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.
• Masters 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. Were 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. Were 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. Were looking for people who seek out and embrace diverse perspectives who value differences and team inclusively to build safety and trust.