EY AI & Data - Power Utilities Sector 

United States, Florida, Miami 

757681557

Just now

EY is making substantial investments in its award-winning AI & Data practice. In this role, you will assist our clients in both developing their vision and executing strategies to harness AI on a large scale, thereby improving their business outcomes. Moreover, you will be instrumental in guiding our clients to incorporate principles of ethics, fairness, transparency, and accountability into their AI endeavors. This position offers you the chance to lead and remain at the forefront of AI technological advancements, broaden your understanding of risk management and AI regulations, and refine your skills to meet the increasing demands for AI expertise. As a rapidly expanding field, this high-visibility role provides ample opportunities for skill enhancement and career growth.

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 governance and risk management frameworks, developing ModelOps architectures, and ensuring that all capabilities comply with internal enterprise policies, procedures, and necessary regulatory compliance and security standards.

Skills and attributes for success

• 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 at least one functional sub-domain within the Energy & Resources sector (Power & Utilities or Oil & Gas), including its corresponding technological environment.
• Extensive expertise in the realms of Artificial Intelligence, Data, and Automation.
• 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

• Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
• Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles
• Strong data science and/or data engineering experience
• Strong knowledge of AI technologies and frameworks
• Possess a robust working knowledge and informed perspective on the evolving methodologies and practices for modernizing information management within the Energy & Resources industry, with a particular emphasis on digital transformation.
• Familiarity with public, private, and hybrid cloud architectures, as well as expertise in crafting cloud-native solutions on one or more of the following platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP), or IBM
• A proven track record of driving revenue within existing clients and developing new prospects at the “C” level of Fortune 500 companies
• 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 to manage complex analysis
• Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes
• Strong analytical and problem- solving skills as well as excellent oral and written communication skills
• A willingness to travel to meet client needs; travel is estimated at 80%. A valid driver’s license in the US and a valid passport required; willingness and ability to travel internationally

Ideally, you’ll 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 AI frameworks and standards related to AI ethics, privacy, and data protection
• Working experience with Agile and/or Scrum methods of delivery
• Working experience with design led 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.