Lead Commercial Product Manager – Risk Analytics, Data Quality
FIS
full-time
Posted on:
Location Type: Hybrid
Location: Jacksonville • Florida • Wisconsin • United States
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Job Level
About the role
- Lead day-to-day delivery for Risk Analytics and Data Quality workstreams, balancing people leadership with hands-on analytical execution.
- Supervise, coach, and develop a team of domestic and offshore data professionals; coordinate workload, priorities, and delivery commitments.
- Partner with stakeholder teams across Risk Analytics and Enterprise Data Management to scope work, set expectations, and deliver results.
- Own project planning, execution, and reporting for assigned initiatives; manage resources and risks to meet timelines and quality expectations.
- Establish and maintain standards for documentation, reproducibility, scalability, and model/data governance.
- Plan, develop, and deliver analytical models including classification and predictive models, scoring and rules-based models, and other advanced analytics techniques (machine learning and artificial intelligence).
- Perform problem framing and analysis; lead data collection, integration, exploration, and preparation to support modeling objectives.
- Guide model implementation in partnership with technology and business teams, ensuring solutions are production-ready and measurable.
- Support analytics needs across Fraud Prevention, Anti-Money Laundering (AML), Compliance, Credit Risk, Market Risk, Operational Risk, and Finance.
- Apply appropriate methodology across the model lifecycle, including tracking, documentation, reproducibility, scalability, monitoring, and actionable insights.
- Develop and oversee analytical controls and reporting to identify and track data-flow issues across systems and data sources.
- Define and monitor critical data elements; detect unexpected values and potential quality defects.
- Drive issue triage and resolution by partnering with stakeholders; track remediation through to closure.
Requirements
- 10+ years of experience in banking and analytics, including senior-level stakeholder engagement and delivery ownership.
- Graduate degree in Statistics, Data Science, Applied Economics, Machine Learning, or a related field (or equivalent experience).
- Strong foundation in statistics, data science, and modern analytical techniques, including machine learning and AI concepts.
- Proficiency with analytical programming and data tools such as Python, SAS, R, and SQL.
- Experience leading teams and delivering work through clear planning, prioritization, and execution.
- Excellent written and verbal communication skills, with the ability to explain complex analytical topics to technical and non-technical audiences.
- Proficiency with Windows productivity tools (e.g., Microsoft Office).
Benefits
- Health insurance
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsmachine learningartificial intelligencestatistical analysisdata modelingpredictive modelingclassification modelsdata governancedata qualityanalytical controls
Soft Skills
people leadershipteam developmentstakeholder engagementproblem framingcommunication skillsplanningprioritizationexecutionissue resolutioncollaboration