AI, Analytics & Reporting Data Science CRM Product Management - Vice President – Payments

JPMorgan Chase & Co. • Plano, TX

4h

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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).

Responsibilities

• Serve as a strategic advisor to executive leadership, representing analytics and CRM in senior forums to drive data‑ and AI‑driven transformation.
• Define and own the CRM product vision and roadmap for SMB Payments, emphasizing AI‑first capabilities to improve seller productivity, conversion, and retention.
• Identify, prioritize, and deliver high‑impact 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 copilot‑style assistants).
• Translate business needs into epics, user stories, and acceptance criteria; manage the CRM backlog; partner with engineering, data science, and design to ship high‑quality releases.
• Drive the end‑to-end product lifecycle—discovery, prototyping, A/B testing, delivery, adoption, and continuous improvement—anchored 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 human‑in-the-loop controls and transparent explanations.
• Lead go‑to-market for CRM releases (enablement, training, communications); monitor adoption, satisfaction, and ROI; iterate rapidly; cultivate strong cross‑functional relationships.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in 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.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level