DescriptionEmbrace the challenge of steering complex tech projects fostering growth and technical excellence in a dynamic environment. Join the Strategic AI Governance and Enablement (SAIGE) team. The SAIGE team is dedicated to driving operational efficiencies and supporting the firms AI/ML objectives by promoting innovation and upholding the highest ethical and regulatory standards.
As an AI Strategy Director in the Strategic AI Governance & Enablement team youll be responsible for overseeing the integration of AI into production environments ensuring that they are scalable reliable and user-friendly. Additionally you will help drive the team strategy and direction for how the team works.
Job Responsibilities
- Develop and manage project plans for strategic priorities in AI governance and firmwide reusable solutions.
- Provide transparency and alignment across strategic priorities through quarterly business reviews highlighting progress resource allocation budget usage and key risks.
- Engage internal business stakeholders and clients to spread awareness and education on the CDAO framework AI/ML technologies and the AI/ML landscape (Brand recognition).
- Support the SAIGE rebrand by strengthening team culture and operating model fostering collaboration professional development and recognition.
- Maintain oversight of the CDAO - SAIGE Business Resiliency Plan ensuring documentation and testing are complete accurate and aligned with business impact analysis.
- Support client inquiries for CAO related topics and partner with LOBs on timely responses.
- Leverage strong project management skills to ensure each project follows the defined lifecycle with agreed upon roles and responsibilities across technology teams and business units
- Propose and implement improvements to integration and governance processes and tools
- Guide training and resources to employees on AI governance ethical considerations and best practices while fostering a culture of continuous learning and improvement
- Execute governance frameworks and processes to ensure effective oversight of the LLM lifecycle.
- Produce reporting and MIS for program governance forums senior management and wider stakeholder groups
Required Qualifications Capabilities And Skills
Bachelors degree in Computer Science Software Engineering or a related field and 10 years applicable experience
Proven experience in integrating AI models into production environments
Strong background in software engineering and development lifecycle
Experience with cloud platforms such as AWS Azure and programming languages such as Python
Experience with RESTful APIs and microservices architecture
Understanding of machine learning concepts and algorithms
Well organized detail oriented process driven and able to work systematically
Strong project management skills with the ability to coordinate between multiple teams
Familiarity with Agile and Scrum methodologies
Excellent communication skills to convey technical concepts to non-technical stakeholders
Required Experience:
Director
DescriptionEmbrace the challenge of steering complex tech projects fostering growth and technical excellence in a dynamic environment. Join the Strategic AI Governance and Enablement (SAIGE) team. The SAIGE team is dedicated to driving operational efficiencies and supporting the firms AI/ML objectiv...
DescriptionEmbrace the challenge of steering complex tech projects fostering growth and technical excellence in a dynamic environment. Join the Strategic AI Governance and Enablement (SAIGE) team. The SAIGE team is dedicated to driving operational efficiencies and supporting the firms AI/ML objectives by promoting innovation and upholding the highest ethical and regulatory standards.
As an AI Strategy Director in the Strategic AI Governance & Enablement team youll be responsible for overseeing the integration of AI into production environments ensuring that they are scalable reliable and user-friendly. Additionally you will help drive the team strategy and direction for how the team works.
Job Responsibilities
- Develop and manage project plans for strategic priorities in AI governance and firmwide reusable solutions.
- Provide transparency and alignment across strategic priorities through quarterly business reviews highlighting progress resource allocation budget usage and key risks.
- Engage internal business stakeholders and clients to spread awareness and education on the CDAO framework AI/ML technologies and the AI/ML landscape (Brand recognition).
- Support the SAIGE rebrand by strengthening team culture and operating model fostering collaboration professional development and recognition.
- Maintain oversight of the CDAO - SAIGE Business Resiliency Plan ensuring documentation and testing are complete accurate and aligned with business impact analysis.
- Support client inquiries for CAO related topics and partner with LOBs on timely responses.
- Leverage strong project management skills to ensure each project follows the defined lifecycle with agreed upon roles and responsibilities across technology teams and business units
- Propose and implement improvements to integration and governance processes and tools
- Guide training and resources to employees on AI governance ethical considerations and best practices while fostering a culture of continuous learning and improvement
- Execute governance frameworks and processes to ensure effective oversight of the LLM lifecycle.
- Produce reporting and MIS for program governance forums senior management and wider stakeholder groups
Required Qualifications Capabilities And Skills
Bachelors degree in Computer Science Software Engineering or a related field and 10 years applicable experience
Proven experience in integrating AI models into production environments
Strong background in software engineering and development lifecycle
Experience with cloud platforms such as AWS Azure and programming languages such as Python
Experience with RESTful APIs and microservices architecture
Understanding of machine learning concepts and algorithms
Well organized detail oriented process driven and able to work systematically
Strong project management skills with the ability to coordinate between multiple teams
Familiarity with Agile and Scrum methodologies
Excellent communication skills to convey technical concepts to non-technical stakeholders
Required Experience:
Director
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