- Salary
- $60 – $70
- Location
- Dallas, United States
- Department
- IT
- Seniority
- Manager
- Experience
- 8+ years
- Education
- Master
- Source
- Keka
Description
Key Responsibilities
Product Leadership & Strategy
- Define and drive the AML Monitoring Platform product vision, strategy, and multi-year roadmap.
- Establish a scalable, enterprise-grade data foundation for transaction monitoring and financial-crime detection
- Identify and prioritize high-value use cases (rule-based detection, anomaly detection, alert prioritization, regulatory reporting, AI/ML)
- Evangelize the AML platform vision across compliance, business, and leadership stakeholders
Data Product Ownership
- Own end-to-end delivery of the AML data product lifecycle:
- Canonical, normalized transaction and party data models
- Detection rule engine and AML typology coverage
- Alert and case data feeding investigator workflows
- Risk scoring, segmentation, and entity relationship resolution
- Translate complex compliance and business needs into clear, actionable product and data requirements
- Define KPIs, success metrics, and product SLAs (e.g., detection coverage, false-positive rate, alert-to-case conversion, time-to-disposition)
Cross-Functional Leadership
- Partner with senior stakeholders across:
- Compliance, Financial Crime, Investigations, Risk, and Business SMEs
- Data Engineering, Architecture, Governance, and Analytics/ML teams
- Act as a strategic bridge between business/compliance and technical organizations
- Influence decision-making at the leadership level
Data Architecture & Engineering Collaboration
- Collaborate with engineering teams to design:
- Scalable data pipelines (ETL/ELT) across ingestion, curation, and detection layers
- Modern data architectures (medallion, lakehouse, warehouse)
- Batch, scheduled, and near-real-time processing capabilities
- Ensure alignment with enterprise data platforms (e.g., Snowflake, Azure, Databricks) and integration with downstream case-management systems
Data Governance & Quality
- Drive data governance frameworks for AML data:
- Standard definitions, taxonomies, and metadata
- Data lineage, stewardship, and ownership
- Ensure data quality, consistency, auditability, and compliance with AML and privacy regulations
- Manage master data, entity resolution, and identity resolution strategies critical to accurate detection
Analytics & Insight Enablement
- Enable advanced capabilities such as:
- Alert dashboards, investigator triage queues, and executive/regulatory reporting
- Detection-performance, typology-trend, and false-positive analysis
- Threshold calibration, peer-group benchmarking, and segmentation
- Partner with teams on AI/ML-driven use cases (e.g., anomaly detection, risk scoring, alert prioritization, model explainability)
Execution & Delivery
- Lead Agile delivery (backlog prioritization, sprint planning, releases)
- Manage trade-offs across scope, timeline, and quality
- Track adoption, usage, and business impact; iterate continuously
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data, Engineering, Business, or related field
- 8+ years of experience in:
- Data Product Management / Product Management / Data & Analytics
- Proven experience delivering enterprise-scale data platforms or financial-crime / AML / transaction-monitoring solutions
- Strong understanding of:
- Data modeling, data warehousing, and distributed data systems
- ETL/ELT pipelines and integration patterns
- Hands-on experience with:
- SQL and BI tools (Power BI, Tableau, Looker, etc.)
Preferred Qualifications
- Experience with AML, transaction monitoring, fraud detection, KYC, or financial-crime compliance initiatives
- Familiarity with case-management and investigation systems
- Experience with modern data platforms:
- Snowflake, Azure Data Platform
- Knowledge of AML regulatory, data governance, privacy, and compliance frameworks (e.g., BSA, SAR/STR reporting, sanctions screening)
- Agile/Scrum certification or strong Agile delivery experience
Key Competencies
- Strategic thinking with strong execution focus
- Deep data and analytics expertise
- Exceptional stakeholder management and executive communication
- Ability to influence without authority
- Strong problem-solving and decision-making skills
- Risk-aware, compliance-centric mindset
Skills
AzureSQLSnowflakeDatabricksData EngineeringETLTableauPower BILookerAgileScrumAMLKYCCompliance