Join our dynamic team as a Vice President, Business Analysis Manager and make a significant impact by supporting process improvements and key initiatives. Expand your creative skills in a collaborative environment while advancing your career. Be part of the Corporate & Investment Banking (CIB) Payments Operations team, the largest global cash management provider, striving for service excellence through client focus, technology solutions, and workforce innovation.
As a VP, Business Analysis Manager within JPMorganChase, you will lead a high-performing team of Data Analysis Associates to drive operational efficiency and strategic fraud initiatives spanning Core Cash and Commercial Card within CIB Payments Operations. You will leverage your advanced understanding of data analytics and automation technologies to uncover patterns, analyze complex data sets, and propose innovative solutions. Your expertise in cross-functional collaboration will enable you to work effectively with diverse teams—including Fraud Strategy, Machine Learning, Technology, Product and Operations—ensuring alignment with business strategies and a robust governance framework. You will coach, mentor, and develop your team, manage capacity and priorities, and oversee delivery quality and timelines. Your decisions and work results will have a significant impact on team and departmental goals, contributing to the overall success of the firm.
Job responsibilities
- Lead and develop a team of Data Analysis Associates: set goals/OKRs, manage capacity and priorities, conduct 1:1s, coach and mentor, provide timely feedback, and oversee performance reviews and career development.
- Own the roadmap and stakeholder alignment for Reporting & Analytics across Core Cash and Commercial Card in CIB Payments Operations; partner with Product, Risk, and Operations; provide executive-ready updates and land changes without client or operational disruption.
- Drive analytics and decisioning: detect emerging fraud trends, quantify impact, and optimize rules; develop and explain algorithms/models and analytical logic to Management, Operations, Technology, and Compliance.
- Own data pipelines end to end: define requirements with Technology and Operations from sourcing through consumption, automate ETL, and own portions of transaction monitoring coverage.
- Lead quality, testing, and change management: plan and execute UAT, manage releases, and maintain documentation and logs for audit readiness.
- Deliver reporting and visualization: produce ad hoc and recurring reporting; build and maintain dashboards and KPI views for fraud controls and client experience.
- Strengthen controls and risk management: drive continuous process improvement and root-cause analysis, align with Governance/Controls, and promote standardization and reuse across the team.
- Manage delivery and SLAs: monitor delivery quality and timelines, align work to SLAs, and handle escalations and stakeholder communications.
- Champion ways of working and talent: run Agile ceremonies and product-owner activities (backlog, prioritization, delivery tracking) and partner on hiring, onboarding, and cross-training for resilient coverage.
Required qualifications, capabilities, and skills
- Eight or more years of combined experience in data, analytics, or technology roles supporting fraud, risk, or operations.
- Proven people leadership in coaching and developing team members through performance management, capacity planning, and effective delegation
- Demonstrated ability to conduct data analysis and interpret complex data sets; strong problem solving and storytelling with data
- Advanced proficiency in using automation/BI technologies to optimize processes and implement business strategies and controls
- Excellent communication and stakeholder management; service mindset with strong analytical skills
- Understanding of the software delivery lifecycle and industry-standard methodologies; familiarity with Agile ways of working
- Hands‑on experience with JIRA for backlog management, dashboards, and reporting
- Undergraduate or Master’s degree in Business, Finance, Mathematics, Computer Science, or related field
- Experience with Alteryx, Tableau, Qlik/QlikSense or other BI tools to perform statistical/data analysis; dashboard-building experience
- Advanced Microsoft Excel skills (pivot tables, macros, lookups); proficiency with PowerPoint, Access, Visio, Word
- Understanding of business process/modeling concepts and governance/control principles; familiarity with data warehousing concepts (ETL, relational databases, big data such as Hadoop, S3)
Preferred qualifications, capabilities, and skills
- Domain experience in fraud detection/anomaly detection and optimization of fraud rules/strategies; familiarity with Commercial and Investment Banking fraud trends, patterns, and features
- Programming skills in SQL are a must; knowledge of Python and AWS Athena (or other cloud query engines)
- Exposure to payments and card domains, including core cash rails (ACH, wires, RTP, checks) and commercial card controls (MCC anomalies, chargebacks/disputes, spend controls)
- Experience working in Amazon Web Services cloud environments; GCP experience
- Aptitude and curiosity for ML‑adjacent solutions, partnering with data science on feature ideation and experimentation
- Proficient ability to leverage AI tools, including effective prompt writing, to enhance analysis and provide actionable insights
- Experience in technology/process release management with strong documentation and UAT coverage; comfort owning applications/systems and running business‑critical processes