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Ai Governance Analyst Jobs in Raleigh, NC (NOW HIRING)

NetApp

Data Governance Lead

Morrisville, NC

Implement and continuously improve practical governance processes that strengthen business operations, analytics, reporting, AI readiness, and application outcomes. * Business Application and ...

New

Amphenol TCS

AI Lead

Raleigh, NC · On-site

The role is focused on AI solution strategy, solution design, automation enablement, governance ... Demonstrated experience translating business problems into practical AI, automation, analytics, or ...

Amphenol TCS

AI Lead

Raleigh, NC · On-site

The role is focused on AI solution strategy, solution design, automation enablement, governance ... Demonstrated experience translating business problems into practical AI, automation, analytics, or ...

Kimley-Horn

Data Management Analyst

Raleigh, NC

Join our team as a Data Governance Analyst and assist the Data Governance Manager with development ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Management Analyst

Raleigh, NC · On-site

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Envestnet

Lead AI Quality Assurance Engineer

Raleigh, NC · Hybrid

$125K/yr

Mentors junior analysts and reviews testing deliverables for quality and consistency. * Supports implementation of enterprise AI governance and risk management controls. * Recommends improvements to ...

Kimley-Horn

Data Management Analyst

Raleigh, NC · On-site

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Kimley-Horn

Data Management Analyst

Raleigh, NC

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Experience or familiarity with AI-assisted development tools such as Microsoft Copilot, GitHub ...

Munich Re

Data and AI Enterprise Architect

Cary, NC

Act as an evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management

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How much do ai governance analyst jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai governance analyst in Raleigh, NC is $53.25, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $65.19 per hour, depending on experience, location, and employer.

What is an AI Governance Analyst?

An AI Governance Analyst is a professional who helps organizations develop, implement, and monitor policies and procedures to ensure the responsible and ethical use of artificial intelligence. They assess risks, ensure compliance with relevant regulations, and work to align AI systems with ethical standards and organizational goals. Their work often involves collaborating with legal, technical, and business teams to manage the societal, legal, and operational impacts of AI technologies.

What are the key skills and qualifications needed to thrive as an AI Governance Analyst?

To thrive as an AI Governance Analyst, you need a solid understanding of data privacy, risk management, regulatory compliance, and AI ethics, often supported by a degree in law, computer science, or a related field. Familiarity with frameworks like GDPR, NIST AI Risk Management Framework, and tools for auditing AI systems is typically required, along with relevant certifications such as CIPP or CISA. Strong analytical thinking, communication, and stakeholder management skills help you navigate complex ethical and regulatory landscapes. These skills are crucial to ensuring responsible AI deployment, minimizing organizational risks, and maintaining public trust.

How does an AI Governance Analyst typically collaborate with other departments within an organization?

An AI Governance Analyst frequently works cross-functionally, partnering with teams such as data science, legal, compliance, and IT security to ensure that AI systems are developed and deployed responsibly. This collaboration involves reviewing policies, identifying potential ethical or regulatory risks, and implementing best practices for transparency and accountability. Regular meetings and workshops are common to align AI initiatives with organizational goals and regulatory requirements, making strong communication and stakeholder management skills essential for success in this role.

How much does an AI governance analyst make?

An AI governance analyst typically earns between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI ethics and compliance can earn higher salaries, often exceeding $150,000.

How to become an AI governance analyst?

To become an AI governance analyst, candidates typically need a background in computer science, data science, or related fields, along with knowledge of AI ethics, policy, and compliance. Developing skills in risk assessment, regulatory frameworks, and familiarity with AI tools is essential, and relevant certifications or training in AI ethics and governance can enhance prospects. Experience in technology, policy analysis, or legal aspects related to AI is also valuable.

Is AI governance a good career?

AI Governance Analysts focus on developing policies and frameworks to ensure ethical and responsible AI use. The role requires knowledge of AI technologies, regulations, and risk management, and it is increasingly in demand as organizations seek to address AI-related ethical concerns. It can be a rewarding career for those interested in technology, policy, and ethics with opportunities for growth in various industries.

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Ai Governance Analyst jobs near you
Infographic showing various Ai Governance Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $110,752 per year, or $53.2 per hour.

Senior Manager-AI Governance and Strategy

Lenovo

Morrisville, NC • On-site

$150 - $190/hr

Other

Posted 3 days ago

New

Lenovo rating

7.7

Company rating: 7.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

80th of 159 rated electronics manufacturers

Job description

Overview

United States of America - North Carolina - Morrisville

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, serving millions of customers in 180 markets. Lenovo builds a full-stack portfolio spanning devices, infrastructure, software, solutions, and services and is committed to delivering Smarter Technology for All.

To learn more, visit www.lenovo.com and read about the latest news on StoryHub.

Description and Requirements

Role Summary

The Senior Manager, AI Control Tower & Agentic AI Governance serves as the central operating and governance lead for Lenovo’s AI Control Tower and enterprise-scale agentic AI initiatives. This role ensures that new AI agents are business-justified, well-governed, and properly supported by data and knowledge assets, with operational scalability.

The individual will coordinate across DTIT, business units, segments, and functional teams to manage agentic AI intake, governance, prioritization, lifecycle oversight, knowledge base strategy, change management, and value realization. The role helps Lenovo scale agentic AI safely and efficiently while preventing fragmentation, duplication, and unmanaged AI sprawl.

Responsibilities
  • AI Control Tower & Agentic AI Governance: Operate and evolve the AI Control Tower as the central coordination point for enterprise agentic AI initiatives.
  • AI Control Tower & Agentic AI Governance: Establish and manage governance frameworks for AI agent intake, prioritization, risk assessment, lifecycle management, and change control.
  • AI Control Tower & Agentic AI Governance: Coordinate with DTIT to ensure AI agents align with enterprise architecture, security, compliance, and operating model standards.
  • AI Control Tower & Agentic AI Governance: Track and manage the enterprise portfolio of AI agents, including status, dependencies, reuse opportunities, and value realization.
  • Business Engagement & Enablement: Engage business units, segments, and functions to support AI agent design, development, piloting, testing, and adoption.
  • Business Engagement & Enablement: Define training and enablement needs for AI agent deployment.
  • Business Engagement & Enablement: Ensure clear business ownership, success metrics, adoption readiness, and ongoing stakeholder alignment.
  • Business Engagement & Enablement: Act as the primary interface between business stakeholders and DTIT for agentic AI initiatives.
  • Business Case & Value Validation: Partner with business sponsors to validate business cases for new AI agents, including value hypotheses, KPIs, and scale assumptions.
  • Business Case & Value Validation: Ensure proposed AI agents address clearly defined, high-value use cases.
  • Business Case & Value Validation: Assess duplication risk and identify reuse opportunities across the enterprise AI portfolio.
  • Business Case & Value Validation: Track realized value and feed insights back into Control Tower prioritization.
  • Business Case & Value Validation: Lead engagement with business teams on data sourcing strategy for new AI agents.
  • Knowledge Base & Governance: Own intake and governance for new product or domain-specific knowledge bases, as well as changes, enhancements, and retirement of existing knowledge bases.
  • Knowledge Base & Governance: Coordinate with DTIT on knowledge base setup, seeding, chunking, curation, validation, maintenance, updates, and version control.
  • Knowledge Base & Governance: Serve as the business-facing owner for knowledge asset quality, relevance, and fitness for AI use.
  • Knowledge Base & Governance: Lead structured efforts to inventory and rationalize legacy unstructured data stores.
  • Knowledge Base & Governance: Eliminate duplication, stale content, and unmanaged repositories.
  • Knowledge Base & Governance: Drive standards for content ownership, stewardship, and ongoing governance.
  • Key Interfaces: DTIT teams, including architecture, AI platforms, security, data, and change management.
  • Key Interfaces: Business unit and segment leadership.
  • Key Interfaces: Product, sales, services, and operations teams.
  • Key Interfaces: AI platform, knowledge management, and governance functions.
Qualifications
  • Business degree with MIS or Computer Science background.
  • 10+ years of experience in enterprise transformation, digital platforms, data/AI governance, and product operations.
  • Direct experience working across business units and central IT organizations.
  • Strong background in governance, operating models, and portfolio management.
  • Demonstrated ability to translate business needs into structured AI, data, and knowledge requirements.
  • Proven track record of managing AI projects through the AI solution lifecycle.
  • Strong executive communication and stakeholder management skills.
  • Preferred: Computer Science, MIS, Business Analytics, or AI/ML certification.
  • 3+ years of experience with agentic AI, AI platforms, or AI-enabled workflows.
  • Knowledge of knowledge bases, unstructured data management, and content lifecycle governance.
  • Familiarity with change management frameworks in large, global organizations.
  • Experience rationalizing fragmented data or content ecosystems.
Critical Success Factors
  • Ability to balance speed and control in AI deployment.
  • Strong systems thinking across technology, data, knowledge, and operating model dimensions.
  • Comfort operating in ambiguity while creating structure.
  • Enterprise-first mindset with business credibility.

The base salary budgeted range for this position is $150k - 190K. Individuals may also be considered for bonus and/or commission.

Lenovo’s benefits can be found at www.lenovobenefits.com.

In compliance with Colorado's EPEWA, the expected application deadline for this position is August 27, 2026. This applies to both external and internal candidates.

#LI-FL1

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, veteran status, or disability or any federal, state, or local protected class.

Additional Locations: United States of America - North Carolina - Morrisville

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