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Ai Risk Manager Jobs in Michigan (NOW HIRING)

TMS

Program Manager - Data, AI, Databricks

Detroit, MI · On-site

Program Manager - Data, AI, Databricks Duration: FTE Location: Detroit (Preferred) / Open across ... Oversee program planning, execution, risk management, and delivery timelines. * Manage Databricks ...

Pwc

AI Engineer / Data Scientist, AI Manager

Detroit, MI · On-site

$99K - $297K/yr

They evaluate compliance with regulations including assessing governance and risk management ... The Opportunity As part of the AI Engineering team, you will design, test, and deploy innovative AI ...

Ford Motor Company

AI Program Manager

Dearborn, MI · On-site

... risk flags, and task tracking). * Build Intelligent Dashboards: Own and maintain highly transparent ... Experience managing enterprise-scale AI programs, digital transformation initiatives, or large ...

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Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

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What cities in Michigan are hiring for Ai Risk Manager jobs? Cities in Michigan with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Manager- Enterprise AI & Cloud Security

Manager- Enterprise AI & Cloud Security

Henry Ford Health System

Detroit, MI • On-site

Full-time

Re-posted 23 days ago

Henry Ford Health rating

7.0

Company rating: 7.0 out of 10

Based on 551 frontline employees who took The Breakroom Quiz

413th of 884 rated healthcare providers

Job description

MEET THE LEADER
Click the Hyperlink above to read about the Leader hiring for this role
GENERAL SUMMARY:
Reporting to the Director of Emerging Technology Security, the Manager of Enterprise AI & Cloud Security leads and oversees the comprehensive security program for artificial intelligence systems and cloud infrastructure within our healthcare institution. This position provides strategic direction and operational leadership for a team of security professionals dedicated to protecting AI/ML deployments and cloud environments while ensuring compliance with healthcare regulations and security best practices. The Manager of AI and Cloud Security is responsible for developing, implementing, and maintaining sophisticated security programs that address the complex challenges of AI and cloud technologies in healthcare. This includes overseeing AI model security, training data protection, inference system monitoring, cloud security architecture, and cloud security operations. The role ensures seamless alignment between security controls and business objectives while maintaining strict regulatory compliance and enabling innovation. The position is a key leadership role within the IPSO department and works collaboratively with other managers in SOC, IPSO (Risk, Privacy, etc.), and IT programs to develop and implement comprehensive approaches to AI and cloud security risks. This includes establishing frameworks for secure AI development, deployment, and monitoring, as well as ensuring robust cloud security across multiple platforms and services.
PRINCIPLE DUTIES AND RESPONSIBILITIES:
Strategic Leadership and Team Management:
  • Lead and mentor a diverse team of security professionals specializing in AI and cloud security.
  • Foster a culture of innovation and continuous learning in emerging security practices.
  • Develop and manage resource allocation strategies for AI and cloud security initiatives.
  • Create and maintain career development paths for team members.
  • Establish performance metrics and goals for the team.

AI Security Program Management:
  • Develop and oversee comprehensive security strategies for AI/ML systems throughout their lifecycle.
  • Establish frameworks for secure AI model development, testing, and deployment.
  • Implement robust monitoring systems for detecting model tampering and adversarial attacks.
  • Create and maintain security standards for training data protection and validation.
  • Oversee security assessments of AI models pre and post-deployment.
  • Develop incident response procedures specific to AI security incidents.

Cloud Security Operations:
  • Direct the development and implementation of cloud security architecture across multiple platforms.
  • Establish security baseline standards for cloud services and applications.
  • Oversee the implementation of cloud security tools and controls.
  • Manage cloud security posture monitoring and improvement programs.
  • Develop and maintain cloud security policies and procedures.
  • Support cloud security incident response and recovery efforts.

Risk Management and Compliance:
  • Develop comprehensive risk assessment frameworks for AI and cloud technologies.
  • Ensure compliance with healthcare regulations (HIPAA, HITECH) in AI and cloud deployments.
  • Maintain security documentation and audit trails for compliance purposes.
  • Conduct regular security assessments and vulnerability management.
  • Create and maintain security metrics and reporting systems.

Strategic Planning and Innovation:
  • Develop long-term strategic plans for AI and cloud security programs.
  • Evaluate and implement new security technologies and approaches.
  • Build relationships with security vendors and service providers.
  • Participate in industry groups and standards organizations.
  • Monitor emerging threats and trends in AI and cloud security.

EDUCATION/EXPERIENCE REQUIRED:
  • Bachelor's Degree in Computer Science, Information Security, or related field required; Master's degree preferred.
  • Minimum of eight (8) years of experience in information security with focus on medical device security.
  • Minimum of three (3) years of management experience leading technical teams.
  • Demonstrated experience with:
    • AI/ML security principles and practices.
    • Cloud security architecture and operations.
    • Security program management.
    • Team leadership and development.

Leadership and Management Expertise:
  • Demonstrated ability to build and lead high-performing technical teams.
  • Strong project and program management capabilities.
  • Experience with budget planning and resource allocation.
  • Strategic planning and execution skills.
  • Risk management and decision-making abilities.
  • Excellent stakeholder management and communication skills.

Technical Knowledge:
  • Deep understanding of AI/ML security principles and best practices.
  • Extensive knowledge of cloud security architectures and controls.
  • Expertise in security automation and orchestration.
  • Strong background in incident response and threat management.
  • Understanding of healthcare compliance requirements.
  • Knowledge of security frameworks and standards.

Technical Platforms and Tools
  • AI Security:
    • Model monitoring and protection platforms
    • Training data validation systems
    • MLOps security tools
    • AI anomaly detection systems
    • Model forensics platforms
    • Cloud Security:
    • Major cloud platform security tools (Azure Security Center, AWS Security Hub)
    • Cloud security posture management (CSPM) solutions
    • Cloud workload protection platforms (CWPP)
    • Cloud access security brokers (CASB)
    • Security information and event management (SIEM) platforms

CERTIFICATIONS/LICENSURES REQUIRED:
  • At least two of the following certifications are required:
    • CISSP (Certified Information Systems Security Professional).
    • CISM (Certified Information Security Manager).
    • Cloud Security Certification (CCSP, AWS Security, Azure Security).
    • AI/ML Security Certification.
    • CEH

What Henry Ford Health employees say

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Hours and flexibility

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About Henry Ford Health

Sourced by ZipRecruiter

Henry Ford Health provides a full continuum of services from Primary and Preventative care, to Complex and Cpecialty care, Health Insurance, a full suite of home health offerings, Virtual care, Pharmacy, Eye care and other Healthcare retail. It is one of the Nation’s leading Academic Medical Centers, recognized for Clinical excellence in Cancer care, Cardiology and Cardiovascular Surgery, Neurology and Neurosurgery, Orthopedics and Sports medicine, and Multi organ transplants. Consistently ranked among the top five NIH funded institutions in Michigan, Henry Ford Health engages in more than 2,000 research projects annually. Equally committed to educating the next generation of Health Professionals, Henry Ford Health trains more than 4,000 Medical students, Residents and fellows every year across 50+ accredited programs. With more than 33,000 valued team members, Henry Ford Health is also among Michigan’s largest and most Diverse employers, including nearly 6,000 physicians and researchers from the Henry Ford Medical Group, Henry Ford Physician Network and Jackson Health Network.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1915

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