Ai Strategy & Design - Healthcare Sector jobs at Ey in United States, New York

The position reports to the Global Industry Strategy & Execution Lead. This is a permanent role.

Your key responsibilities

• Connect and collaborate: Be ‘the glue’ driving close connectivity and collaboration across the Sector, Super Region (SR), and Service Line (SL) teams and ensure alignment with global and SR enablement teams. Cultivate community engagement with the GCSPs that supports a view of client demand and buy in of prioritized accounts to drive growth of the Sector.
• Drive growth of Strategic and Premier Accounts: Work closely with GCSPs of the strategically important accounts in driving solutions and campaigns to fuel growth, while converting opportunities to wins for replication by strengthening relationships and working closely with SL and Region Account / Pursuit teams.
• Facilitate and drive execution: Support the shaping of the vision and ambition for the Sector in collaboration with the Global Sector Leader (GSL), SR Sector Leaders and SL representatives and drive end to end execution; Support the activities of the Sector Board ensuring disciplined and impactful board management. Understand and monitor macro-trends for the Sector and orchestrate the strategic planning cycle to drive growth, support prioritization and timely deployment of solutions, accounts and capital.
• Go-to-Market & ‘Big Bet’ Activation: Support GtM and operations teams to ensure effective delivery of the GtM strategy and execute Sector big bets and alliance initiatives. Involved in supporting capital allocation ensuring investments are prioritized against the Sector strategy to drive growth.
• Brand & Market Reputation: Jointly support with BMC and Insights, the right market reputation for the Sector including sector analyst relations and foster relationships with external parties to support EY’s strategic positioning within the Sector.

Skills and attributes for success

Ideally, you’ll have the ability to:

• work through high levels of stakeholder complexity, ambiguity, conflict and with abstract concepts
• identify innovative alternatives, digging into issues to surface core pain points
• Create and drive a project plan, and direct action with tact and diplomacy
• drive a program of work from start to finish
• easily shift between abstract strategic discussions and operational detail
• build trusted relationships and collaborate across dimensions of matrix

What we look for

• Bachelor’s/University degree or equivalent qualification required
• 10+ years current experience with EY or Global Professional Services firm track record
• As the job involves responding to clients' needs and varying time zones, flexibility to work extended hours

Job Title: Assistant Manager - Financial Due Diligence

We are seeking an Assistant Manager in Financial Due Diligence to join our Strategy and Transactions team. In this role, you will be instrumental in providing analytical insights for mergers and acquisitions (M&A) and assisting our clients in navigating through the complexities of the transaction process.

Key Responsibilities:

• Conduct financial due diligence for M&A transactions across a variety of sectors.
• Analyze financial statements and business trends to identify financial risks and opportunities.
• Prepare comprehensive due diligence reports that highlight key findings and provide value-added insights to clients.
• Work closely with multi-disciplinary teams to integrate financial due diligence findings with other aspects of the transaction process.
• Manage and mentor junior staff, fostering a learning environment and encouraging career growth.
• Engage directly with clients, ensuring their needs are met and delivering exceptional service.
• Support business development initiatives, including market research and proposal development.

Qualifications and Skill Set:

• A professional accounting / finance qualification (CA, CPA, ACCA, MBA or equivalent)
• A minimum of 3-5 years of experience in financial due diligence
• Strong analytical, problem-solving, and financial modelling skills.
• Excellent communication and report writing skills.
• Ability to manage multiple projects and meet tight deadlines.

• Excellent knowledge and hands on experience in area of SAP Projects System (PS) and Project Portfolio Management (PPM)
• Good configuration knowledge of PS structures- WBS, standard structures, user status profiles and Master Data.
• PPM: Portfolio definition, buckets, Initiatives Management, Financial and Capacity Planning, Resource Planning and SAP PPM integration with SAP applications (PS, FI, HCM etc)
• Proficient in Cost & Revenue planning and budgeting.
• Proven knowledge on Results Analysis - Cost based and Revenue Based methodsResponsibilities, Qualifications, Certifications - External
• Period end processing, Project Settlement.
• Should have good understanding of relevant methodologies business processes and standards.
• Strong understanding of Integration between Project Systems with other modules
• Should possess strong skills in functional requirement gathering / fit-gap analysis, master data setup, end user support and documentation.
• Design and support development of custom enhancements in PS, PPM and integration area
• Good exposure on interaction with business users.
• Good communication, problem solving and analytical skills.
• Certification in PS/PPM will be an advantage.
• 3-7 years’ experience

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

As a Director in EY-Parthenon’s Strategy & Execution – Deal Technology practice focusing on Enterprise Reimagined, you will lead high-impact engagements that drive both cost optimization and top-line growth across complex transactions and corporate transformations. You will work with C-suite executives, private equity clients, and corporate leadership to identify, plan, and execute technology-driven strategies that optimize IT and operational costs while also accelerating revenue and digital innovation during mergers, acquisitions, divestitures, and carve-outs as well as in non-transaction/transformation settings. This role blends deep IT expertise with strategic insight to deliver measurable value through cost transformation, digital enablement, operational efficiency, and tech-enabled growth initiatives.

Key responsibilities

As a Director with EY-Parthenon's Strategy and Execution Deal Technology practice, you will lead value-creation technology projects that span cost optimization and growth enablement. You’ll guide clients through IT-focused strategies that enhance operational efficiency and unlock new revenue opportunities. Your role will involve advising senior stakeholders, collaborating across functions, and applying emerging technologies (AI, cloud, data analytics) to deliver measurable business impact. A strong commercial mindset and the ability to balance efficiency with innovation are essential to success in this role.

Skills and attributes for success

• Build Trusted Relationships - ability to manage senior client relationships and influence client perspectives.
• Strong Problem Solving and Storytelling - be a lead for solving problems from beginning to end (problem identification, hypothesis development, synthesis, and recommendation with a compelling narrative).
• Outcomes-driven - understand and translate client needs into approach and outcomes for project delivery.
• Effective through Collaboration - be part of project teams comprising colleagues from across the EY-Parthenon sub-service lines.
• Business and Commercially Driven - working in a fast-paced, exciting environment with strong business acumen to drive value to our clients.
• Business Development - ability to drive aspects of pursuits, including presentations and client meetings. Contribute to our practice development initiatives, supporting the continued focus on our team as a great place to work.
• Talent Development - coach junior colleagues to become high-performing.
• Learning - learn and develop technical and personal skills to support achievement of career goals, through a blend of structured learning, coaching and experiences.

To qualify, you must have

• A bachelor’s degree in Business, Finance, Engineering, Computer Science, or related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
• Experience in management consulting, IT strategy, digital transformation, and transaction advisory.
• Proven experience in cost optimization (e.g., Digital Transformation, IT synergy planning, post-merger integration or carve-out execution)andin tech-driven growth initiatives (e.g., implementing a new digital product, scaling technology to increase revenue or market share).
• Proven ability to drive transformation across multiple levers, from infrastructure optimization and applications rationalization to sourcing and governance, with measurable outcomes.
• Ability to synthesize complex financial and operational data into clear, actionable insights; balanced cost efficiency with innovative tech-driven growth strategies.
• Comprehensive understanding of IT cost structures – including TCO (total cost of ownership), shared services, outsourcing, and digital transformation levers and an ability to convert various technology/IT opportunities into dollar and financial impact.
• Familiarity with digital product development, customer-facing technologies, and data analytics to advise on growth, i.e. ability to discuss a data center consolidation and a digital marketing platform implementation in the same conversation.
• Expertise in a minimum of 4 of the following IT skillsets:
• IT cost reduction and optimization
• IT operating model transformation
• Cloud strategy and migration
• IT service management and Transition Service Agreement (TSA) development
• Business process redesign and tech enabled business transformation including new capability rollouts such as CRM, ERP and HCM
• Digital enablement (e.g., automation, advanced analytics)
• Data & Business Intelligence strategy (e.g., building analytics capabilities, BI tools deployment for insights)
• AI implementation (e.g., AI/ML solutions for business, process automation, AI strategy development)
• IT outsourcing/offshoring and vendor management
• Digital product or platform launch (technology support for new product rollouts or digital channels)
• Experience in merger & acquisition contexts – e.g., involvement in IT due diligence, IT separation or integration projects, or identifying technology synergies in deals. Understanding deal timelines and how to realize value quickly in a deal timeline is critical.
• Leadership & Soft Skills: Proven ability to lead teams and drive change. Excellent client-facing skills with experience advising senior executives. A track record of influencing decision-makers and driving initiatives to completion, especially where technology and business strategy intersect.
• You must either reside in or be in a commutable distance to your office location for this position.
• The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Ideally, you will have

• An MBA or other relevant advanced degree, reflecting the strategic and cross-disciplinary nature of the role.
• Further Technical Depth or Certifications: A proven record of excellence in IT mergers & acquisitions or similar transactions. Additional certifications (Agile, ITIL, PMP, Six Sigma, CISSP/CISA, or cloud certifications) that demonstrate rigorous training in managing technology projects and teams.
• Emerging Tech Familiarity: Exposure to modern technology trends such as artificial intelligence (experience with tools like Microsoft Copilot or other AI platforms), IoT, or advanced data analytics in a business context. Being able to bring cutting-edge ideas to clients is a plus by assessing and prioritizing emerging technologies based on their cost-benefit impact across.
• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.
• Industry Sector Knowledge: Experience in specific industries (e.g., finance, healthcare, manufacturing, etc.) can be a plus, especially if you have led tech value initiatives in those sectors. It aids in bringing context-specific insights for value creation.
• Network & Thought Leadership: Established networking skills and a presence in the industry (e.g., speaking at conferences, publishing thought leadership on technology value creation). This signals passion and recognition in the field.

What we look for

AI/Machine Learning Engineer, Senior Consultant

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.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Your key responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. 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. 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.

You will spend your time on key responsibilities that include:

• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high-performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.

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. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning
• Strong skills in Python
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution monitoring and reporting
• Understanding of data structures, data modelling, and software engineering best practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

Ideally, you’ll also have

• Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
• Experience in hybrid collaboration and emotional agility
• A track record of working with diverse teams to drive outcomes through complex problem-solving
• Knowledge of sustainability practices in technology
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
• Experience fine-tuning Generative AI models
• Experience with image processing techniques and/or speech and audio processing and analysis

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Providing subject matter expertise in defining technical and business approaches
• Building strong relationships with the clients and cultivating business opportunities
• Initiating and building thought leadership through white papers, point of views, and proof of concepts
• Working in an entrepreneurial environment to pave your own career path
• Propose and drive new technologies to enhance or replace existing business processes

To qualify for the role, you must have

• Undergraduate or master’s degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
• Around 6 or more years of related work experience in banking, capital markets, insurance or asset management space
• Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
• Experience working independently, efficiently and effectively under extreme time constraints and delivering results by critical deadlines
• Strong analytical and problem-solving skills
• Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
• Prior experience in project management and client serving roles
• Excellent leadership and teaming skills
• Strong organizational and time-management skills
• Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn
• A willingness and ability to travel to meet client needs; travel is estimated at 60%
• Valid passport

AI Specific

• Ability to understand business challenges and translate them into value-add analytics and insights solutions.
• Practical experience in leading and managing multi-disciplinary teams through a product life cycle – requirements, design, development, and testing.
• Experience designing, building, and maintaining production-grade ML and DL models, machine learning workflows, and pipelines. Demonstrated exploration of new techniques outside of day-to-day job duties.
• Proficiency in Generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformers. Experience with working open-source and commercial LLMs
• Helping clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising our clients on leading practices.
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.) as appropriate.
• Designing, architecting, and developing solutions leveraging big data technology (Hadoop, Cassandra, Spark, Neo4j) to ingest, process, and analyze large, disparate data sets to exceed business requirements.
• Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements.
• A thorough understanding of the Python programming language and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, statsmodels, etc.).
• Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, HBase, Cassandra, etc.).
• Demonstrated experience of managing and mentoring teams of data scientists, ML engineers, and data engineers on the execution of specific business use cases for AI/ML.
• Strong machine learning and data structure design, development, application of advanced analytical and statistical methods, and architecture experience.
• Ability to quantify improvement in business areas resulting from optimization techniques through the use of business analytics and/or statistical modeling.
• Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.

Additional Requirements:

• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions.
• Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, Machine Intelligence, and/or Reinforcement Learning.
• Expertise in designing and deploying cloud-native architectures and solutions that leverage serverless computing, containerization (Docker, Kubernetes), and microservices.
• Experience in integrating AI/ML solutions within cloud environments to ensure scalability, reliability, and security.
• Familiarity with cloud-based machine learning services like AWS SageMaker, AWS Bedrock, Google AI Platform, Azure Machine Learning & Azure AI Studio
• Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment.
• Understanding of data security and privacy best practices in cloud environments, including compliance
• Practical experience in developing and deploying Generative AI applications for various use cases such as text generation, image synthesis, and creative AI.
• Strong ability to collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Ideally, you’ll also have

• Master’s degree in Business Administration (MBA) or Science (MS) preferred
• Prior consulting experience

Job Description

As a Procurement Manager, you will support all aspects of client-facing procurement technology projects, which spans many leading solutions in the market (e.g. GEP, Zycus, and Zip). You will be expected to drive project initiatives and lead process design, implementation, problem solving, and project management activities that add value and results for our client base.

Typical responsibilities include:

Project Execution

• Manage implementation of procurement solutions throughout the full lifecycle of execution
• Provide thought leadership and benchmarking
• Lead and drive current state activities
• Lead and drive future state end to end process design sessions
• Identify S2P business, technical, and integration requirements to support the implementation of S2P technologies.
• Synthesize disparate data sources into insights and clear deliverables
• Work together with clients to identify and interpret key project requirements
• Develop and enhance relationships with client stakeholders
• Create project plans and manage delivery of client project work
• Coordinate with subject matter experts within and outside of the firm

Business Development

• Support sales pursuits
• Develop materials and thought leadership for go-to-market conversations

Travel Requirements:

Travel is required for this role and could vary from 10-50%