Executive Director -Analytics Solution Product Manager

Job Description

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

Preferred Qualifications, Capabilities, And Skills

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Skills Required

Qlik, Advanced Excel, Databricks, Tableau, Python, Sql, Aws