EY AI Strategy & Design - Healthcare Sector 

United States, New York, New York 

186135797

Consulting Senior Manager, AI & Data, Health Sector

In this capacity, you will help EY develop and deploy AI tools, support analytic solution design, go-to-market strategy, playbook design and craft thought-leadership. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset, build your career and develop the next generation of health data & AI leaders.

Your key responsibilities

As an AI & Data Senior Manager, you will lead a team of junior members, collaborating with a diverse client base to articulate, formulate, and implement their AI strategies. Your role encompasses establishing AI strategies, governance and risk management frameworks, AI operating models, defining appropriate AI solutions and tools, and overseeing technical design, development and scaling of AI capabilities within client environments. You will also be responsible for ensuring that all capabilities comply with internal enterprise policies, procedures, and necessary regulatory compliance and security standards. Specific responsibilities include:

• Leading project teams, pursuit teams and coordinating with a diverse client base in translating strategic business objectives to articulate, formulate, and implement their AI strategies.

• Guiding clients through their AI strategies, governance and risk management frameworks, AI operating models, defining appropriate AI solutions and tools, and overseeing technical design, development and scaling of AI capabilities within their environments. This role will be responsible for testing that all capabilities comply with internal enterprise policies, procedures, and necessary regulatory compliance and security standards.

• Being an expert on the latest health and wellness technology, products and use cases related to AI, big data, responsible AI (Artificial Intelligence) / Machine Learning (ML), and Internet of Things (IoT)

• Organizing and leading EY business development for prioritized solutions, and serving as a thought leader by bringing market leading insights to find, strategize around, and capture new markets for driving business growth

• Leading the development and socializing of strategy for developing EY data and analytic solutions, assets, and accelerators

• Hosting interactive sessions and workshops with business, technology, industry, and executive teams on topics for developing data and analytic assets in response to mega-trends

• Lead strategic data and analytic alliance partnerships for developing cutting-edge solutions so solve our client’s business problems

Skills and attributes for success

• A point of view on how the health industry will continue to evolve and how technology, innovation and digital landscape will shape the future

• A point of view on activating citizen development and low-code techniques including UI/UX for AI / ML (Machine Learning)

• A point of view on how to design and operationalize responsible AI that are explainable, auditable, ethical, socially responsible, unbiased, reliable, and resilient

• Driving, leading, and guiding teams in developing compelling sales materials, proposals, and presentations for presenting business focused data related solution to clients

• Strong working knowledge of and experience with data management, collection, dissemination, analysis, reporting, dashboarding, generating insights, and utilizing data driven insights.

• Strong working knowledge of how our clients can make data-driven decisions by working with structured and unstructured data sets and apply advanced analytics

• Strong working knowledge of applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.),

• Clearly communicating findings, recommendations, and opportunities at the executive level to improve data systems and solutions

• Seeking out information to learn about emerging methodologies and technologies

• Collaborating, influencing, and building consensus through constructive relationships and effective listening

• Solving problems by incorporating data into decision making

• Commitment to leading our people in the new ways of working, actively seeking out diverse perspectives and shaping our next generation of leaders at the firm

• Leading 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.

• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.

• 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

• Deep knowledge in healthcare to include understanding of critical challenges for payers, providers and integrated systems as well as ability to translate business needs into appropriate technical solutions for healthcare clients.

• Extensive expertise in the realms of Artificial Intelligence, Data, and Analytics.

• Monitoring progress, managing risk, and ensuring key stakeholders are kept informed about progress and expected outcomes.

• Managing expectations of client service delivery.

• Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale

• Leading and collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain ModelOps target architecture in client's platform of choice

• Collaborating with clients to understand their business objectives and develop tailored Responsible AI strategies aligned with their values and regulatory obligations

• Collaborating with the client's team to integrate ModelOps solution into their existing ecosystem

• Understanding clients' overall data, AI and technology landscape and business priorities and success measures

• Cultivating and managing business development opportunities. Developing and maintaining long- term client relationships and networks.

• Developing thought leadership for your area of expertise to help strengthen EY’s brand in the data management space.

To qualify for the role, you must have

• A bachelor’s degree and 8-10 years of experience in designing, developing, and implementing data and analytic strategy in health care

• 8 -10 years of professional consulting experience in business or technology consulting or similar roles developing and implementing data and AI solutions in health care

• A proven track record of driving revenue within existing clients and developing new prospects at the “C” level of Fortune 500 companies

• Strong data science and/or data engineering experience working with healthcare clients

• Strong knowledge of AI technologies and frameworks

• Working experience with Agile and/or Scrum methods of delivery for data and analytic products

• Proven track record of understanding business challenges and translating them into value-add solutions - strong analytical and problem- solving skills - actively participate in brainstorming, identifying core issues and effectively finding and using data and AI to manage complex analysis

• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights

• Outstanding team player

• Ability to manage and prioritize workload, work independently, and scale through delegation

• 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, travel is estimated at 30%

• Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes

Ideally, you’ll also have

• Bachelor’s Degree or above in data and analytics, information systems, statistics, computer science, or related disciplines

• Master’s in Applied / Business Analytics with a health concentration, Master’s degree in Business or Health Administration with a data and analytics concentration, Master’s in Health Informatics, or Master’s in Public Heath

• 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 design thinking

• Microsoft, AWS, ServiceNow, or Snowflake Certifications in the Data & AI domain

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.