at EY in Springfield, Illinois, United States
Job Description
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
The exceptional EY experience. It’s yours to build.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
Consulting Senior Manager, AI & Data, Health Sector
We are helping our clients transform care delivery and obtain their most critical business objectives in health care by harnessing of the power of data and AI. Our service offerings help our clients redesign their data and AI strategies, develop and deploy cutting edge responsible AI to stay in front of the mega trends in care delivery, with a focus on digital transformation, interoperability, personalization, equitable health outcomes, financial stability, and a personalized consumer experience using advanced learning algorithms to generate insights.
The opportunity
EY is making substantial investments in its award-winning AI & Data practice. You will assist our health clients in both developing their AI strategic vision and executing on that vision to inform future opportunity plans, scale for growth, and mitigate risks. We look to you to bring deep sector-focused insights and advanced knowledge of the business drivers to help our clients navigate the complex world of modern data management, AI cloud platforms, data and analytic products, data science, AI-risk management, and emerging AI technological development.
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 opportunit
To view full details and how to apply, please login or create a Job Seeker account