Embrace 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 firm’s 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, you’ll 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 LOB’s 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 unitsPropose and implement improvements to integration and governance processes and toolsGuide training and resources to employees on AI governance, ethical considerations, and best practices while fostering a culture of continuous learning and improvementExecute 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

Bachelor’s 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