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Director Fraud Intelligence Jobs in Arizona (NOW HIRING)

You will report into the Associate Director, Workforce Management. Work Location: This position is ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

You will report into the Associate Director, Workforce Management. Work Location: This position is ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Sr. Tax Accountant

Tempe, AZ · On-site

$87K - $114K/yr

You will report into the Associate Director, Tax. Work Location: This position is based in our ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Sr. Tax Accountant

Tempe, AZ · Hybrid

$87K - $114K/yr

You will report into the Associate Director, Tax. Work Location: This position is based in our ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Associate, Medical Economics

Tempe, AZ · On-site

$111K - $145K/yr

You will report to the Associate Director of Medical Economics, and is part of a team that serves ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Associate, Medical Economics

Tempe, AZ · Hybrid

$111K - $145K/yr

You will report to the Associate Director of Medical Economics, and is part of a team that serves ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Associate, Medical Economics

Tempe, AZ · On-site

$111K - $145K/yr

You will report to the Associate Director of Medical Economics, and is part of a team that serves ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Walks sales floor to identify and address potential theft indicators, as directed by Store ... Mitigating Theft & Fraud: * Monitors entrances/exits as well as sales floor for potential theft by ...

Walks sales floor to identify and address potential theft indicators, as directed by Store ... Mitigating Theft & Fraud: * Monitors entrances/exits as well as sales floor for potential theft by ...

Showing results 21-40

Director Fraud Intelligence information

What does a director fraud intelligence do?

A Director of Fraud Intelligence is responsible for leading the strategy and operations related to detecting, investigating, and preventing fraud within an organization. They oversee teams that analyze data for suspicious activity, develop anti-fraud policies, and implement risk management solutions. Their role often includes working with law enforcement, managing fraud detection technologies, and ensuring compliance with relevant regulations. Overall, they play a critical leadership role in safeguarding the organization from financial crimes and reputational risks.

What are the key skills and qualifications needed to thrive as a director fraud intelligence?

To excel as a Director Fraud Intelligence, you need deep expertise in fraud detection, risk management, data analytics, and a strong background in finance or cybersecurity, often supported by a relevant degree. Familiarity with fraud monitoring systems, advanced analytics tools (such as SAS, SQL, or Python), and industry certifications like CFE (Certified Fraud Examiner) are typically essential. Strong leadership, strategic thinking, and excellent communication skills are crucial for managing teams and collaborating with stakeholders. These competencies are vital to effectively mitigate fraud risks, drive organizational strategy, and protect company assets.

How does a director fraud intelligence typically collaborate with other departments to mitigate risks?

A Director of Fraud Intelligence regularly partners with teams such as compliance, IT security, legal, and operations to ensure a coordinated approach to detecting, investigating, and preventing fraud. They lead cross-functional meetings to share intelligence, develop response strategies, and implement new anti-fraud technologies. This collaborative environment helps identify vulnerabilities, streamline reporting processes, and foster a culture of vigilance across the organization. Strong communication skills and the ability to translate technical findings for non-technical stakeholders are essential in this role.

What is the difference between Director Fraud Intelligence vs Fraud Analyst?

AspectDirector Fraud IntelligenceFraud Analyst
CredentialsBachelor's degree, often advanced certifications in fraud detection or cybersecurityBachelor's degree, certifications like CFE or ACFE beneficial
Work EnvironmentStrategic, leadership-focused, overseeing teams and policiesOperational, analyzing data and investigating fraud cases
Employer & Industry UsageFinancial institutions, large corporations, government agenciesBanks, retail, insurance, and e-commerce companies
Search & Comparison IntentUnderstanding leadership roles and responsibilities in fraud preventionOperational tasks and day-to-day fraud detection activities

The main difference between a Director Fraud Intelligence and a Fraud Analyst lies in their scope and responsibilities. The Director focuses on strategic leadership, policy development, and overseeing fraud prevention programs, while the Fraud Analyst handles data analysis and investigation tasks. Both roles require relevant certifications and work within similar industries, but their focus levels differ significantly.

What are the most commonly searched types of Fraud Intelligence jobs in Arizona?

The most popular types of Fraud Intelligence jobs in Arizona are:

What are popular job titles related to Director Fraud Intelligence jobs in Arizona?

For Director Fraud Intelligence jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Director Fraud Intelligence jobs in Arizona look for?

The top searched job categories for Director Fraud Intelligence jobs in Arizona are:

AI Platform Director- Data Engineering

First-Citizens Bank & Trust Company

Phoenix, AZ • On-site

$251K/yr

Other

Re-posted yesterday


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview
We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle-from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.
As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders-ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value.
Responsibilities
AWS AI/ML Platform Ownership
  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation.
  • Continuously enhance the platform's automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines.
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design.

Machine Learning & GenAI Execution
  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.


Data & Engineering Collaboration
  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems


Model Governance & Risk Compliance
  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks.
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform's core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery.
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)


Team Building & Leadership
  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies.
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Qualifications
Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.
Qualifications
  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications
  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at
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