Location: Plano, TX, United States

The JPMorgan Chase SMB Payments Analytics team is committed to fostering a data-driven culture and enabling strategic, fact-based decision-making across the organization. As a senior individual contributor within the Business Analytics division, you will drive the vision for analytics and CRM, championing the integration of advanced data science and AI-driven CRM capabilities to shape the future of our payments business.

 

As Vice President, Data Science & CRM Product Management in  Small Business Payments, you will play a critical role in delivering impactful analytics and building AI-enhanced CRM experiences that accelerate growth and productivity across Product, Sales, Marketing, Account Management, and Risk. You will set the strategic agenda for analytics and CRM product initiatives, ensuring alignment with business objectives, responsible AI standards, and measurable outcomes. You will be an individual contributor. 

 

Job responsibilities 

• Serve as a strategic advisor to executive leadership, representing analytics and CRM in senior forums to drive data and AIdriven transformation.
• Define and own the CRM product vision and roadmap for SMB Payments, emphasizing AIfirst capabilities to improve seller productivity, conversion, and retention.
• Identify, prioritize, and deliver highimpact AI/ML features (e.g., lead/opportunity scoring, next best action, intelligent routing and forecasting, conversation intelligence, personalized offers from a unified customer 360, and copilotstyle assistants).
• Translate business needs into epics, user stories, and acceptance criteria; manage the CRM backlog; partner with engineering, data science, and design to ship highquality releases.
• Drive the endtoend product lifecyclediscovery, prototyping, A/B testing, delivery, adoption, and continuous improvementanchored in clear OKRs.
• Design and implement advanced statistical and machine learning models for payments, sales, risk, and operations; embed them into CRM workflows and decisioning.
• Partner with data engineering to unify CRM and payments datasets; establish robust telemetry for feature engagement, funnel analytics, and model performance monitoring.
• Build and enhance BI tools and dashboards to deliver accessible, actionable insights for stakeholders at all levels.
• Establish and optimize data governance, quality, and lineage; ensure AI features comply with privacy, security, and responsible AI standards with humanintheloop controls and transparent explanations.
• Lead gotomarket for CRM releases (enablement, training, communications); monitor adoption, satisfaction, and ROI; iterate rapidly; cultivate strong crossfunctional relationships.

Required qualifications, capabilities, and skills 

• 5+ years of experience in data science, analytics, or quantitative analysis, with significant experience in payments or financial services.
• 5+ years of hands-on CRM product management experience delivering data- or AI-powered features in enterprise CRM environments.
• Demonstrated expertise in SQL, Python, and advanced analytics methodologies; practical experience operationalizing ML/AI in business workflows.
• Proven track record building and scaling BI/visualization solutions (e.g., Tableau, Looker) and embedding insights within CRM.
• Experience with CRM platforms and ecosystems (e.g., Salesforce Sales/Service Cloud, Einstein, Data Cloud; or Dynamics 365) and integrating AI/ML models via APIs or platform services.
• Familiarity with MLOps practices (model deployment, monitoring, retraining) and real-time inference patterns as applied to CRM use cases.
• Strong understanding of data governance, privacy, and responsible AI; ability to partner with risk and compliance on controls and approvals.
• Exceptional strategic thinking, problem-solving, and organizational skills; outstanding communication and executive stakeholder management.
• Experience leading complex, high-impact initiatives as an individual contributor in a fast-paced environment and translating analytics into measurable business outcomes.
•  Commitment to fostering a collaborative, inclusive, and high-performance culture.

 

Preferred qualifications, capabilities, and skills 

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Applied Mathematics, Engineering, or Computer Science.
• Experience with conversational AI, retrieval-augmented generation, prompt engineering, and knowledge-grounded assistants embedded in CRM.
• Hands-on experience with experimentation frameworks and product analytics for feature adoption and revenue impact measurement.
• -Knowledge of payments-specific CRM use cases (merchant onboarding, lifecycle management, cross-sell/upsell, churn prevention, dispute and service workflows).
• Agile product management certifications or demonstrated mastery of agile practices (roadmapping, backlog management, OKRs).

 

The JPMorgan Chase SMB Payments Analytics team is dedicated to cultivating a data-driven culture and empowering fact-based decisions