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Generative Ai Project Manager Jobs in Iowa (NOW HIRING)

... manage risk. We are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture, platform strategy, technology standardization and enablement of Generative and Agentic AI ...

... manage risk. Responsibilities We are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture, platform strategy, technology standardization and enablement of Generative ...

... manage risk. Responsibilities We are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture, platform strategy, technology standardization and enablement of Generative ...

... generative AI, for robotic applications such as autonomous navigation, dynamic grasping, or ... management systems. Why Needed The Robotics & AI Research Engineer is a cornerstone of Auzmor ...

The Project Manager oversees all aspects of project delivery, including planning, execution ... V. is a global leader of AI-centric, SaaS-based insurance software, delivering hyper-relevant ...

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Generative Ai Project Manager information

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
What are popular job titles related to Generative Ai Project Manager jobs in Iowa? For Generative Ai Project Manager jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Generative Ai Project Manager jobs? Cities in Iowa with the most Generative Ai Project Manager job openings:
Infographic showing various Generative Ai Project Manager job openings in Iowa as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Security Engineer Senior Manager

AI Security Engineer Senior Manager

Deloitte

Davenport, IA

$108K - $148K/yr

Other

Posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services


Job description

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
  • Minimum 2 years of people and/or process management experience

Preferred:

  • Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
  • Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
  • Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
  • Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
  • Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427813

Qualifications:

As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth.

Recruiting for this role ends on 7/23/2026.

Work you'll do

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Key Responsibilities

Build the AI Security Strategy
Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.

Embed Security into AI at Scale
Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.

Lead AI Risk & Governance
Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.

Architect Secure AI Solutions
Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.

Drive Standards and Controls
Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.

Build and Develop Talent
Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.

Enable Business Outcomes Securely
Balance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.

Influence and Align Stakeholders
Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Impact

This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
  • Minimum 2 years of people and/or process management experience

Preferred:

  • Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI
  • Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches
  • Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps)
  • Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations
  • Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $282,100.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427813

Education:Bachelor's DegreeEmployment Type:

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