Team: Commercial & Investment Bank, Central Planning & Analysis Data & Innovation Team
Job Summary
Join our dynamic Data & Innovation team as an Executive Director – Analytics Solution Product Manager. In this visionary leadership role, you will revolutionize corporate finance and planning by integrating traditional financial modeling with advanced data science and analytics solutions. You will drive strategic insights, modernize reporting and planning processes, and deliver influential analytics that shape business strategy. This is an exciting opportunity to lead a high-performing team, devise data strategies, and collaborate with senior leadership and cross-functional stakeholders to deliver value across the organization.
Job Responsibilities
Develop and Execute Data & Product Strategy: Formulate and implement data and product strategies that deliver measurable value to end users and senior leadership.Lead Analytics & Financial Modeling: Oversee the design, development, and implementation of financial models, forecasting tools, dashboards, and analytics solutions using SQL, Python, and BI tools (Qlik, Tableau).Innovate with Data Science: Design predictive models and apply advanced data science methodologies (AI, ML, econometrics) to blend traditional finance with modern analytics.Stakeholder Collaboration: Conduct user interviews, prioritize needs, and translate business requirements into effective analytical solutions. Establish and maintain collaborative partnerships with stakeholders across Finance, Risk, CIB LoBs, and Technology.Executive Communication: Prepare and deliver executive-level presentations and reports, clearly communicating complex analytical findings to technical and non-technical audiences.Team Leadership: Manage and mentor a high-performing team of 15+ analysts and data modelers, fostering a culture of innovation, collaboration, and continuous improvement.Continuous Improvement: Promote intellectual curiosity and stay abreast of emerging trends in corporate finance, data science, and data consumption technologies.Data Platform Expertise: Leverage cloud-based data platforms and emerging data consumption tools (e.g., AWS, Databricks) to enhance analytical capabilities.Required Qualifications, Capabilities, and Skills
Advanced degree in Finance, Quantitative Finance, Data Science, Economics, or a related field.18+ years of experience in data analysis, product management, and financial modeling within financial services.Deep expertise in financial analysis, data strategy, and business intelligence tools (Qlik, Tableau).Proficiency in SQL, Python, and traditional financial tools (advanced Excel, financial software).Experience with data science/statistical analysis and programming/scripting (Python, R).Excellent communication skills, with proven ability to prepare and deliver executive-level presentations.Strong analytical, problem-solving skills, and attention to detail.Demonstrated ability to formulate product strategy, manage a backlog, and drive roadmap execution.Experience managing and mentoring cross-functional teams in a collaborative environment.Financial services industry domain expertise.Preferred Qualifications, Capabilities, and Skills
Experience with cloud-based data platforms and technologies (AWS, Databricks).Background in fintech, banking, asset management, or consulting for financial clients.Experience with emerging data consumption tools and advanced econometric methods.