EY AI Strategy & Design - Healthcare Sector 

United States, New York, New York 

714207585

Technology – Data and Decision Science – AI Native Engineering – Manager

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. No two days will be the same, and with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You’ll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
• Identifying opportunities for additional services and managing engagement economics.

You will work with a wide variety of clients to deliver the latest data science and big data technologies including GenerativeAI / LLM capabilities. Your teams will design and build scalable solutions for healthcare clients 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. We’ll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Experience in managing client relationships and delivering high-quality service.
• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• At least 2 years working in the healthcare domain (payer, provider or integrated health systems), developing AI solutions for healthcare challenges
• Strong skills in Python.
• Experience using 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.
• 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.
• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

• Deep Learning expertise.
• Proficiency in Mathematics, Statistics, and Operations Research.
• Experience with Machine Learning techniques.
• Knowledge of Data Architecture Design and Modelling.
• Familiarity with Cloud Computing environments.
• Skills in Technical Design Optimization.
• Experience with Continuous Integration and Continuous Delivery/Deployment.
• Understanding of Natural Language Processing and Generation.
• Knowledge in Image Processing and Analysis.
• Skills in Speech and Audio Processing and Analysis.
• Ability to scale models effectively.
• Strong relationship-building skills.
• Demonstrated client trust and value.
• Effective communication skills with impact.
• Digital fluency and emotional agility.
• Experience in hybrid collaboration.
• Commercial acumen and negotiation skills.
• Proven ability to lead teams and manage change.

Ideally, you’ll also have

• Adeep 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.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine-tuning Generative AI models.

• Experience in managing complex projects with multiple stakeholders.
• A strong understanding of industry trends and emerging technologies.
• Skills in data visualization and storytelling with data.