Forensics - Discovery Data Scientist - Manager (AI Responsibility)
EYAbout the role
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,
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