Executive Leader, Enterprise Fraud Analytics & Reporting

Key Responsibilities

• Own and steward key fraud and credit data sources used for analytics, reporting, and operational decisioning—ensuring datasets are accurate, complete, and delivered on time in alignment with SLAs.
• Design, develop, and maintain fraud analytics solutions and data processes using SAS (batch and/or real-time workflows, as applicable).
• Build and optimize data pipelines, queries, and analytical datasets to enable fraud detection, investigation, and reporting.
• Demonstrated experience scheduling, monitoring, and troubleshooting production jobs and batch processes (e.g., via enterprise schedulers such as Flow Manager, Stonebranch, Autosys, or similar tools).
• Monitor and validate critical feeds (upstream/downstream), perform reconciliations and data quality checks, and drive resolution of data issues impacting fraud and credit performance.
• Establish and maintain controls to ensure timely availability of recurring datasets (daily/weekly/monthly), including proactive outage prevention, alerting, and rapid triage during incidents.
• Partner with Data Engineering/Technology teams to maintain data definitions, mappings, lineage, and documentation for high-impact fraud/credit datasets.
• Support large-scale migrations (e.g., platform modernization, data warehouse migrations, tool upgrades), including requirements gathering, data validation, parallel testing, and production cutover support.
• Perform other duties and/or special projects as assigned.

Required Qualifications

• 7-10 years hands on experience building and managing comprehensive data infrastructure serving a wide base of constituents focusing on Management Reporting, Strategy and Analysis, and Operational Performance Management.
• 5+ years of hands-on SAS experience.
• Strong SQL skills and experience working with large datasets in enterprise environments.
• Minimum 5+ years of experience in Financial Services, with a focus on Fraud detection, prevention, and investigation.
• Demonstrated experience working in a fast-paced environment with shifting priorities and tight timelines.
• Ability to design, support, and optimize complex end-to-end flows (multi-step dependencies, upstream/downstream integrations, SLA management, reruns/recovery procedures).
• Strong understanding of KPI’s and ability to tell effective stories connecting KPI trends to business drivers.
• Advanced dashboarding skills and experience in using Tableau or Sas Visual Analytics.
• Ability and flexibility to travel for business as required.

Preferred Qualifications

• Bachelor’s degree a in STEM field such as Mathematics, Statistics, Analytics, or any Quantitative field.
• Ability to lead projects by influencing and aligning team members who are not direct reports.
• Proven experience with large-scale migrations, conversions, or modernization efforts (data, platforms, or analytics tooling).
• Experience with SAS Viya Cloud Environment.
• Familiarity with cloud data platforms and modern data ecosystems (tooling varies by environment).
• Proven experience using Copilot and other generative AI tools and solutions to improve productivity and outcomes.
• Proven hands‑on experience utilizing open-source tools such as R and Python.
• Ability to effectively delegate projects, project negotiation skills and skills to coach junior members on the team.

Additional Information

Grade/Level: 12

Salary Range: 135,000.00 - 230,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older.
• You must have a high school diploma or equivalent.
• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process.
• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

Legal Recruitment Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. The employer does not sponsor employment visas.

Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please inform us if you require a reasonable accommodation to apply or to perform your job. If you need special accommodations, please call the Career Support Line at View phone number on click.appcast.io, Monday to Friday, 8am – 5pm CST.

Job Family Group: Credit

Work Location: Our way of working allows employees to work from home near one of our Hubs or come into an office. Employees may need to commute to the nearest Hub for in-person engagement activities such as regular business or team meetings, training, and culture events. Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.