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SAM(Suspicious Activity Monitoring) Technical & Functional Lead

TechSpace Solutions Inc.

Hybrid in New York, New York • Yesterday

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Actimize
Artificial Intelligence
Data Analysis
Environment Management
Extract, Transform, Load
Data Engineering
Data Quality
Database
DevOps
Cloud Computing
Communication
Continuous Delivery
Continuous Integration
Management
Mapping
Mentorship
Microsoft Visual Studio
Documentation
Finance
Functional Management
Leadership
Stakeholder Engagement
Team Management
Technical Direction
User Stories
SQL
Software Asset Management
Stakeholder Communications
Testing
Real-time
Regulatory Compliance
Reporting
Requirements Analysis
Git
Pandas
Privacy
Production Support
Python
RAID
Version Control
Workflow

Actimize
Artificial Intelligence
Data Analysis
Environment Management
Extract, Transform, Load
Data Engineering
Data Quality
Database
DevOps
Cloud Computing
Communication
Continuous Delivery
Continuous Integration
Management
Mapping
Mentorship
Microsoft Visual Studio
Documentation
Finance
Functional Management
Leadership
Stakeholder Engagement
Team Management
Technical Direction
User Stories
SQL
Software Asset Management
Stakeholder Communications
Testing
Real-time
Regulatory Compliance
Reporting
Requirements Analysis
Git
Pandas
Privacy
Production Support
Python
RAID
Version Control
Workflow

Summary

Job Title: SAM Technical & Functional Lead

Work Location: NYC , NY(Hybrid)

Duration : 12+ Months

The SAM (Suspicious Activity Monitoring) Implementation Tech team is responsible for the setup, integration, and ongoing enhancement of NICE Actimize SAM systems. The SAM Technical & Functional Lead will own end-to-end delivery across requirements, design, build, testing, and production support—partnering with business stakeholders, compliance/AML teams, data engineers, and developers. This is a hands-on role that combines functional leadership with strong technical execution (Python, ETL, SQL, and modern AI-assisted tooling) and the ability to manage and mentor a small team.

Responsibilities:

Lead end-to-end technical and functional delivery for AML Actimize SAM and ActOne implementations and enhancements.
Partner with business/AML stakeholders to translate regulatory and operational needs into clear functional specifications, user stories, and acceptance criteria.
Manage and mentor a small team of developers/analysts; provide technical direction, code reviews, and delivery planning.
Implement and maintain Actimize SAM models, rule evaluations, scenarios, and alert workflows; oversee model tuning and calibration activities.
Design, build, and optimize ETL/data pipelines feeding SAM (batch and/or near real-time), ensuring data quality, lineage, and reconciliation controls.
Develop and automate data analysis and operational tasks using Python (e.g., validation, profiling, alert analysis, reporting, tooling).
Write and optimize complex SQL for investigations, model calibration, data checks, and performance troubleshooting; demonstrate strong understanding of Actimize/UDM table structures.
Leverage AI tools (e.g., code assistants, document/requirements summarization, test generation) responsibly to improve delivery speed and quality.
Drive DevOps and release practices (Git-based version control, CI/CD where applicable, environment management).
Own stakeholder communications, RAID management, documentation, and governance across delivery and BAU support.

Qualifications:

10+ years of overall experience in AML/financial crime technology delivery, with 5+ years of hands-on NICE Actimize SAM implementation/support experience (including AIS/UDM table structures).
Strong understanding of Actimize SAM models, scenarios/rules, alert workflows, and model tuning/calibration concepts.
Expert-level SQL and strong database fundamentals; able to troubleshoot performance and data issues across large datasets.
Hands-on Python proficiency for automation, data analysis, and tooling; experience with common libraries (e.g., pandas) preferred.
Strong ETL/data engineering experience (source-to-target mapping, transformations, controls, reconciliation); exposure to cloud data platforms is a plus.
Experience using AI tools to accelerate delivery (e.g., code assistants, test generation, documentation summarization) with appropriate data/privacy controls.
Proven lead experience (small team management/mentoring) with strong stakeholder engagement, requirement analysis, and communication skills; Git and modern IDEs (e.g., Visual Studio/VS Code) desirable.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90977120
Position Id: 9125195
Posted 1 day ago

Fitment

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Contact the job poster

Ramya Inala

Recruiter @ TechSpace Solutions Inc.

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Job Details

Skills

Actimize
Artificial Intelligence
Data Analysis
Environment Management
Extract, Transform, Load
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Data Quality
Database
DevOps
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Continuous Integration
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Finance
Functional Management
Leadership
Stakeholder Engagement
Team Management
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User Stories
SQL
Software Asset Management
Stakeholder Communications
Testing
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Regulatory Compliance
Reporting
Requirements Analysis
Git
Pandas
Privacy
Production Support
Python
RAID
Version Control
Workflow

Actimize
Artificial Intelligence
Data Analysis
Environment Management
Extract, Transform, Load
Data Engineering
Data Quality
Database
DevOps
Cloud Computing
Communication
Continuous Delivery
Continuous Integration
Management
Mapping
Mentorship
Microsoft Visual Studio
Documentation
Finance
Functional Management
Leadership
Stakeholder Engagement
Team Management
Technical Direction
User Stories
SQL
Software Asset Management
Stakeholder Communications
Testing
Real-time
Regulatory Compliance
Reporting
Requirements Analysis
Git
Pandas
Privacy
Production Support
Python
RAID
Version Control
Workflow

Summary

Job Title: SAM Technical & Functional Lead

Work Location: NYC , NY(Hybrid)

Duration : 12+ Months

Responsibilities:

Lead end-to-end technical and functional delivery for AML Actimize SAM and ActOne implementations and enhancements.
Partner with business/AML stakeholders to translate regulatory and operational needs into clear functional specifications, user stories, and acceptance criteria.
Manage and mentor a small team of developers/analysts; provide technical direction, code reviews, and delivery planning.
Implement and maintain Actimize SAM models, rule evaluations, scenarios, and alert workflows; oversee model tuning and calibration activities.
Design, build, and optimize ETL/data pipelines feeding SAM (batch and/or near real-time), ensuring data quality, lineage, and reconciliation controls.
Develop and automate data analysis and operational tasks using Python (e.g., validation, profiling, alert analysis, reporting, tooling).
Write and optimize complex SQL for investigations, model calibration, data checks, and performance troubleshooting; demonstrate strong understanding of Actimize/UDM table structures.
Leverage AI tools (e.g., code assistants, document/requirements summarization, test generation) responsibly to improve delivery speed and quality.
Drive DevOps and release practices (Git-based version control, CI/CD where applicable, environment management).
Own stakeholder communications, RAID management, documentation, and governance across delivery and BAU support.

Qualifications:

10+ years of overall experience in AML/financial crime technology delivery, with 5+ years of hands-on NICE Actimize SAM implementation/support experience (including AIS/UDM table structures).
Strong understanding of Actimize SAM models, scenarios/rules, alert workflows, and model tuning/calibration concepts.
Expert-level SQL and strong database fundamentals; able to troubleshoot performance and data issues across large datasets.
Hands-on Python proficiency for automation, data analysis, and tooling; experience with common libraries (e.g., pandas) preferred.
Strong ETL/data engineering experience (source-to-target mapping, transformations, controls, reconciliation); exposure to cloud data platforms is a plus.
Experience using AI tools to accelerate delivery (e.g., code assistants, test generation, documentation summarization) with appropriate data/privacy controls.
Proven lead experience (small team management/mentoring) with strong stakeholder engagement, requirement analysis, and communication skills; Git and modern IDEs (e.g., Visual Studio/VS Code) desirable.

Dice Id: 90977120
Position Id: 9125195
Posted 1 day ago

Fitment