Description

We have an exciting and rewarding opportunity for you to take your career to the next level.

As an Analytics Solution Manger in Consumer and Community Banking , you will drive delivery of analytics data products and applied AI/ML solutions for Consumer & Community Banking . You will own end-to-end execution-from problem framing and requirements through engineering, model development, productionization, and operational excellence-while partnering across Product, Technology, Data Governance, and Risk/Controls.

Job Responsibilities

• Partner with stakeholders to translate business needs into clear problem statements, KPIs, and success metrics (e.g., servicing insights, customer engagement, marketing measurement, forecasting, anomaly detection).
• Own delivery plans, dependencies, RAID management, and status communications.
• Design and build scalable, well-controlled pipelines (batch and, where needed, streaming) to produce trusted curated datasets.
• Develop analytics-ready layers (data marts/semantic views) with consistent metric definitions and strong documentation (data dictionary, lineage, runbooks).
• Implement data quality controls (tests, reconciliation, timeliness/completeness checks) and observability (monitoring/alerting, SLAs/SLOs).
• Build and deploy ML solutions (e.g., propensity/segmentation, next-best-action components, time-series forecasting, anomaly detection, NLP for servicing/contact-center insights).
• Own feature engineering, model selection, validation, and evaluation; ensure robustness against leakage and appropriate handling of bias/fairness considerations.
• Establish MLOps practices: reproducibility, model/version governance, automated testing, drift/performance monitoring, retraining triggers, and rollback strategies.
• Ensure solutions meet security and data governance expectations (least-privilege access, sensitive data handling, retention, auditability).
• Partner with control functions to produce required artifacts (documentation, traceability, operational procedures) and support reviews/audits.
• Apply disciplined SDLC practices: code reviews, CI/CD, environment promotion, and incident/root-cause management. Optimize performance and cost across data processing, storage, and model serving.

Required Qualifications, Capabilities, and Skills

• Significant experience delivering enterprise data and analytics solutions in complex environments.
• Advanced SQL and strong data modeling skills; strong Python (or equivalent) for data and ML development.
• Hands-on experience with modern data platforms (warehouse/lakehouse) and orchestration frameworks.
• Proven applied AI/ML experience across the lifecycle (framing → build → deploy → monitor), including appropriate evaluation and monitoring.
• Strong controls mindset: comfort operating with governance, change management, access controls, and audit/evidence expectations.
• Strong written and verbal communication; ability to influence without authority across cross-functional teams.

Preferred Qualifications, Capabilities, and Skills

• Experience applying AI/ML in retail banking/consumer domains (marketing, servicing, digital, customer insights; in partnership with risk/fraud where relevant).
• MLOps tooling experience (model registry/experiment tracking, automated pipelines, monitoring).
• NLP/GenAI experience for internal productivity or servicing insights (with appropriate governance).
• Streaming/CDC/event-driven patterns supporting near-real-time analytics or detection.

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

\n Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.\n
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\n The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.\n