Vice President - Screening Efficiency & Analytics Strategy Lead

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Vice President to lead Screening Service Efficiency & Analytics Strategy. You will transform how sanctions screening performance is measured, analyzed, and improved, moving from reactive reporting to predictive insights that reduce false positives and increase efficiency.

You will bridge analytics, technology, operations, and governance, delivering dashboards and executive reports with clear, decision-ready narratives while prioritizing automation opportunities.

Qualifications

• 5+ years in Data Analytics / BI with sanctions/AML exposure.
• Experience in client/transaction screening and regulator-facing analyses.
• Proven data stewardship, controls, lineage, and governance practices.
• Strong communication translating analytics to leadership-ready narratives.
• Proficiency with big data platforms and SQL; ability to work across teams.

Responsibilities

• Develop and maintain an enterprise metrics framework for sanctions screening.
• Establish governance standards for metric definitions, data lineage and auditability.
• Analyze alert/case/disposition data to identify drivers of false positives.
• Produce trend analyses on volumes, hit/true match rates, and backlog drivers.
• Define KPI dashboards and reporting tailored to senior leaders and governance forums.
• Lead reviews after watchlist updates and vendor changes; monitor drift and spikes.
• Map end-to-end sanctions workflow and identify bottlenecks and queue imbalances.
• Recommend process improvements and automation opportunities with impact metrics.
• Partner with tech teams to implement analytics-enabled automation and predictive insights.
• Deliver automated dashboards and executive reporting across risk/compliance domains.

Skills

Data analytics

Communication

Stakeholder management

Data governance

Banking operations

Big data platforms

SQL

ML/automation mindset

Education

Bachelor's degree

Master's preferred

Tools

Hadoop

Snowflake

AWS data lakes

Alteryx

Python

R

Tableau

Power BI

Job description

Join us at Chase and make a real impact every day for your customers, your community, and yourself. Build your career on our strong foundation and help shape what’s next—for you and for us. We value creativity, growth, and collaboration, offering opportunities to advance your skills and career. Be part of a team that transforms data into decisions and solutions for a global leader in financial services.

As a Vice President - Screening Service Efficiency & Analytics Strategy Lead within JPMorgan Chase, you will lead the transformation of how sanctions screening performance is measured, analyzed, and improved—shifting the organization from reactive reporting to predictive, actionable insights that reduce false positives, improve performance, optimize end-to-end operational efficiency, and accelerate automation opportunities across the sanctions screening infrastructure and workflow. You will serve as a bridge between analytics/technology teams and operations, compliance, and governance forums, translating complex data into clear “brutal truth” narratives and decision-ready executive reporting.

Job Responsibilities

• Develop and maintain an enterprise metrics framework for sanctions screening, including KPI scorecards and leading/lagging indicators, with clear definitions, sources, and reporting cadence.
• Establish governance standards for metric definitions, data lineage, assumptions, and auditability; maintain documentation to support reviews/exams and change management controls. Lead recurring stakeholder forums to present insights, drive decisions, and track benefits realization from tuning, process changes, and automation.
• Analyze alert/case/disposition/investigation data to identify and quantify drivers of false positives (e.g., name commonality, geography, list updates, transliteration patterns, and data quality issues).
• Produce recurring trend and root-cause analyses on volumes, hit/true match rates, aging/throughput, and backlog drivers; segment performance by scenario/filter, list source, business/product, jurisdiction, and customer/entity attributes. Deliver data-driven tuning recommendations (e.g., threshold adjustments, token/alias handling, matching logic refinements, and data standardization), including pre/post measurement and regression monitoring.
• Define, monitor, and evolve filter/service KPIs (e.g., alert-to-customer ratio, override rates, repeat-alert rates, list refresh impact, etc)
• Perform structured performance reviews after watchlist updates, ruleset releases, parameter changes, and vendor upgrades; build monitoring to detect drift, sudden spikes, or unusual match patterns and trigger investigations/corrective actions.
• Map the end-to-end sanctions workflow and use data to identify bottlenecks, rework, duplicate effort, and queue imbalance; generate insights on cycle times, handoffs, productivity, and quality outcomes (e.g., reopen rates, QA outcomes, escalation patterns).
• Recommend process control improvements (e.g., triage logic, prioritization schemes, standardization of dispositions, workload routing) with clear success metrics and benefits tracking.
• Identify opportunities to automate low-risk, high-volume outcomes (e.g., repeat false positives, deterministic negative matches, smart routing, etc) and prioritize based on impact and control considerations.
• Build business cases for automation (expected alert reduction, capacity released, control impacts, residual risk) and partner with technology teams to implement analytics-enabled automation (rules-based and ML-assisted). Deliver advanced analytics capabilities (predictive modeling, segmentation, optimization, forecasting) and ensure outputs translate into operational/technology requirements with clear acceptance criteria.
• Design and partner with stakeholders to deploy automated dashboards and recurring reporting tailored to operational, risk/compliance, and executive audiences (e.g., queue health/throughput, QA trends and breach alerts, strategic KPIs and cost-per-alert). Translate complex datasets into clear, decision-ready narratives for senior leaders and governance forums, moving beyond spreadsheets to actionable insights and recommendations.

Required qualifications, capabilities and skills

• 5+ yearsinData Analytics / Business Intelligence
• Banking operations domain expertise, with experience inclient/transaction screening;AML, sanctions, or fraud analyticsexperience
• Demonstrateddata stewardship & controls mindset: implementingdata quality controls,lineage/traceability, anddocumentationsupportingauditabilityandgovernance
• Provencommunication and stakeholder management: ability to translate complex analytics intoleadership-ready narrativesand influencetechnical and non-technicalstakeholders
• Experience withbig data / modern data platforms(e.g.,Hadoop, Snowflake, AWS data lakes) and Advanced SQL
• Proficiency in analytics tooling/languages:Alteryx,Pythonand/orR
• Data visualization & reporting: expert-levelTableauand/orPower BI(or similar) to deliverautomated dashboardsandmanagement reporting
• Bachelor’s degree required(or equivalent practical experience)

Preferred qualifications, capabilities and skills

• Master’s degree preferredinData Science, Statistics, Mathematics, or anMBA with a heavy analytical focus