Forensics - Discovery Data Scientist - Manager (AI Responsibility)

Location: San Francisco, San Jose, Los Angeles, Irvine.​

Forensics Discovery - Data Scientist Manager (Responsible AI)

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  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. We’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Forensics Discovery Data Scientist Manager (Responsible AI) 

EY delivers unparalleled cross functional tech consulting and Forensics services in artificial intelligence, big data and cloud engineering.  We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients.  Come help define the future of AI while adhering to ethical, compliance and regulatory requirements. 

The opportunity 

You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. In addition, you will play a pivotal role for in helping our clients integrate ethical, fairness, transparency, and accountability considerations into their AI initiatives. You will have the opportunity to lead, stay abreast of AI technology trends, expand your knowledge of assurance, risk management and AI regulations while developing your skill set to keep up with the ever-growing demands of AI capabilities. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. 

Your key responsibilities

As a Data Scientist Manager (Responsible AI), you will be leading a team of junior team members working with a wide variety of clients to define, develop and operationalize their AI strategy, governance and assurance framework, Model Operations (ModelOps) architecture and other capabilities adhering to their internal enterprise level policies and procedures, regulatory compliance and security requirements. 

Skills and attributes for success

• 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
• Collaborating with the Assurance Team to embed the risk framework into the end-to-end AI capabilities and model lifecycle management.
• Staying abreast of AI technology trends and regulatory requirements while providing directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
• Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale as it aligns with Responsible AI guidelines
• 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
• Designing and implementing ethical frameworks, guidelines, and policies to govern the development and deployment of AI systems, ensuring fairness, transparency, and accountability
• Leading efforts to identify and mitigate biases in AI algorithms and data, employing techniques such as fairness-aware machine learning and bias detection
• Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes
• Understanding clients' overall data, AI and technology landscape, business priorities and success measures. Solving problems by incorporating data into decision making
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
• Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
• Continuously evaluating opportunities for improving methods and outcomes

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 5-8 + years of professional consulting experience in business or technology consulting or similar roles
• Proven experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications
• Strong data science and/or data engineering experience
• Ability to stay updated with industry trends and AI regulatory requirements, and quickly adapt to new technologies.
• Strong knowledge of AI technologies and frameworks
• Communication and critical thinking are essential. Must be able to listen and understand the question and develop and deliver clear insights
• Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes
• Independent and able to manage and prioritize workload
• 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.
• Team player 

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 regulatory frameworks and standards related to AI ethics, privacy, and data protection
• Certification in relevant areas such as AI ethics, data ethics, or responsible AI is a plus
• 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.