Payments Business Transformations- Data Scientist Lead - Vice President

Transform data into business insights and drive innovation in Payments Transformation, enhancing customer experiences and shaping the future of financial services. As a Data Scientist Lead, Vice President on the Payments Instrumentation and Metrics Analytics team, you will be at the forefront of developing data solutions that drive business impact. You will play a pivotal role in ensuring data-driven analysis and automated reporting, shape group strategy, assess opportunities, and measure progress against key objectives. This role is a mix of data science, consulting (problem solving, thought leadership, client management), and product management across the development and implementation lifecycle for product analytics solutions. It presents an opportunity to apply analytics and strategy skills to a broad range of challenges, learn about financial services lines of business and products (e.g., payments, banking, and digital), gain exposure to cutting‑edge technologies (e.g. Databricks, Snowflake, Streamlit, ThoughtSpot, Sigma, Python, Alteryx and Tableau) and methods, and communicate insights to a wide range of stakeholders and leadership audiences. The Payments Instrumentation and Metrics team works with top providers of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The team, comprised of data scientists, design strategists, and business leaders, crafts data products that transform business operations and impacts thousands of clients globally. Job responsibilities Automating analyses into dashboards and analytics products used across Payments Transformation product teams and senior‑level management reporting to enhance the customer experience at scale. Conducting quantitative analysis to identify strategic, actionable opportunities for the Payments Transformation Product business. Working with large data sets to conduct analyses that include scoping, gathering, wrangling, and visualization. Supporting the prototyping of machine learning algorithms, communicating analytical results to various audiences, and assessing new data sources and techniques. Adhering to standards of excellence of the team by demonstrating professional expertise, strong work ethic, integrity, and professional behavior. Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Extracting and understanding data to form an opinion on how to best help clients and derive relevant insights. Resolving issues and removing barriers that hinder analytics initiatives. Creating metrics to measure the impact and effectiveness of investments in new products or enhancements of existing products. Delivering tactical and strategic product and market insights through analytics, reporting and state‑of‑the‑art visualization techniques. Organizing and managing multiple projects with diverse cross‑functional stakeholders at once. Required qualifications, capabilities, and skills Consulting orientation with ability to influence cross‑functional teams. Self‑starter with out‑of‑the‑box quantitative and qualitative problem‑solving skills. Strong time‑management skills, with ability to multi‑task and keep multiple tracks of analysis moving, and a drive to bring new ideas to life. Strong SQL programming skills capable of handling extremely large data sets. Strong experience with one or more major data visualization tools including Tableau, ThoughtSpot, Alteryx. Excellent written and oral communication and presentation skills with experience communicating effectively with diverse audiences across business and technology. Ability to communicate data‑driven insights and convey actionable recommendations. Managing analytics/data science projects from scoping to delivery, and engaging with stakeholders. Ability to work autonomously while providing regular status updates and meeting objectives. Preferred qualifications, capabilities, and skills 4+ years of experience in a consulting or industry position supporting a data or reporting function. Deep understanding of the financial services or Payments industry. Experience using machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, and natural language processing). Experience building data applications using Streamlit or ThoughtSpot. Experience building data visualizations using Tableau. Experience using data warehousing tools, specifically Snowflake or Databricks. Benefits We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. A range of benefits and programs is available to meet employee needs, based on eligibility, including comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. Equal Employment Opportunity Statement 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. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. #J-18808-Ljbffr Aumni