Job Title: Senior Vice President, Balance Sheet Analytics & AI Product Management

Responsibilities:

• Own and direct the product strategy, vision, and roadmap for balance sheet management solutions, with a strong emphasis on applied AI and machine learning.
• Articulate the product strategy and roadmap to stakeholders at all levels, from executive leadership to engineering teams, ensuring alignment with business objectives.
• Lead the end-to-end product lifecycle, including the design, prototyping, and deployment of data-driven tools and models. This is a hands-on role requiring the ability to rapidly develop advanced analytics solutions and dashboards using Python and Tableau.
• Partner with senior leaders in Finance, Treasury, and Technology to identify business opportunities and translate them into technical requirements and product features.
• Act as the primary liaison between business stakeholders and technical teams, ensuring business needs are accurately translated into actionable development work while providing technical guidance.
• Mentor product and technical teams, establishing best practices for product management and data science within the group.
• Uphold stringent risk and control standards, demonstrating sound judgment regarding the firm's reputation and assets, particularly concerning data and model governance in the context of AI solution deployment.

Qualifications:

• 8+ years of experience in technical product management, quantitative analysis, or data science within the financial services industry. A Master's degree or PhD is highly preferred.
• A strong portfolio of successfully launched data-intensive products or analytical solutions, demonstrating deep expertise in applied AI/ML.
• Expert-level proficiency in Python for data analysis, modeling, and automation, as well as advanced skills in Tableau for data visualization and dashboard creation.
• A strong technical foundation with demonstrated experience in rapid prototyping and taking complex analytical products from concept to full deployment.
• Excellent communication skills, with the ability to distill complex technical and financial topics for senior management and guide technical discussions with engineering and data science teams.
• Proven ability to lead and influence cross-functional teams in a complex, agile environment.
• Substantial experience in product ownership at a senior level, with a track record of leading the development of significant data or technology infrastructure from a business perspective.
• Ability to work independently, manage multiple senior stakeholders, and navigate a fast-paced environment.

Education:

• Bachelor's degree in a quantitative field such as Computer Science, Data Science, Finance, Economics, or Statistics is required.
• A Master's degree in a related technical or quantitative field is preferred.