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Remote Ai Governance Jobs in Decatur, GA (NOW HIRING)

United Airlines

Agentic DevOps Lead

Atlanta, GA · Remote

$63.75 - $84/hr

Location This is a remote role based in the US. About The Job You're Considering The Enterprise AI Strategy & Projects Practice Lead is accountable for the vision, growth, governance, operating model ...

Humana

Senior AI Implementation Lead

Atlanta, GA · On-site +1

Experience with Responsible AI practices including model governance, fairness, explainability ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Mission Lane

Operations Senior Manager, AI

Atlanta, GA · On-site +1

$136K - $162K/yr

... governance needed to maintain and continuously improve the AI use cases. You'll thrive in this role ... remote-first work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... AI-Enabled Test Development and Automation Leverage AI-assisted development tools and intelligent ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy ...

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Worth AI, a leader in the computer software industry, is looking for a talented and experienced ... Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy ...

Sequoia Connect

Analytics Engineering Manager

Atlanta, GA · On-site +1

... AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success ... Ensure compliance with data governance, privacy, and security standards; steward access policies in ...

Deloitte

Cyber ServiceNow - Consultant

Atlanta, GA · Remote

... AI Control Tower use cases * Contributing to functional design and configuration of ServiceNow ... Includes design of the cyber organization, governance, and risk assessments. Qualifications ...

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All JobsAi Governance JobsRemote Ai Governance JobsRemote Ai Governance Jobs in Decatur, GA

Remote Ai Governance information

See Decatur, GA salary details

$25

$66

$81

How much do remote ai governance jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote ai governance in Decatur, GA is $66.25, according to ZipRecruiter salary data. Most workers in this role earn between $65.72 and $78.61 per hour, depending on experience, location, and employer.

What is remote AI governance?

Remote AI Governance refers to the frameworks, policies, and processes used to oversee and ensure the responsible development, deployment, and monitoring of artificial intelligence systems from a remote or distributed setting. Professionals in this field work to guarantee that AI technologies adhere to ethical, legal, and organizational standards, even when teams are not physically co-located. This role often involves risk assessment, compliance monitoring, and the creation of guidelines to ensure transparency, fairness, and accountability in AI systems.

What are some common challenges faced by professionals in remote AI governance roles, and how can they be addressed?

Remote AI governance professionals often face challenges such as coordinating with cross-functional teams across different time zones, ensuring clear communication on complex ethical standards, and staying updated on evolving regulations. To address these, it's helpful to establish regular check-ins, use collaborative tools for documentation and decision-making, and participate in ongoing training or industry forums. Proactively building relationships with legal, technical, and business stakeholders also helps in aligning governance policies and ensuring responsible AI deployment.

What are the key skills and qualifications needed to thrive as a remote AI governance professional, and why are they important?

To thrive as a Remote AI Governance professional, you need a solid understanding of AI ethics, regulatory frameworks, risk management, and data privacy, often supported by degrees in law, computer science, or data governance. Familiarity with tools such as AI auditing platforms, compliance management systems, and certifications like CIPP or ISO/IEC 27001 is highly valuable. Strong analytical thinking, effective communication, and the ability to collaborate across technical and non-technical teams set top candidates apart. These competencies are crucial to ensure responsible AI deployment, regulatory compliance, and organizational trust in remote work environments.

What is the difference between Remote Ai Governance vs Remote AI Ethics Specialist?

AspectRemote Ai GovernanceRemote AI Ethics Specialist
Required CredentialsAI, data science, or policy certifications; knowledge of AI regulationsEthics, philosophy, or law certifications; understanding of AI impact
Work EnvironmentCross-functional teams, policy development, compliance oversightResearch, policy advising, ethical review panels
Employer & Industry UsageTech companies, AI startups, regulatory agenciesResearch institutions, tech firms, consulting firms
Search & Comparison IntentUnderstanding governance roles in AI developmentExploring ethical considerations in AI deployment

Remote Ai Governance focuses on establishing policies, compliance, and oversight for AI systems, ensuring they meet legal and ethical standards. Remote AI Ethics Specialists primarily analyze ethical implications, advise on responsible AI use, and address societal impacts. While both roles involve AI and ethics, governance emphasizes policy enforcement, whereas ethics specialists focus on moral considerations and ethical frameworks.

How much do remote AI governance professionals make?

Remote AI governance professionals typically earn between $80,000 and $150,000 annually, depending on experience, education, and the complexity of the organization's AI systems. Senior roles or those with specialized skills in ethics, compliance, and policy may command higher salaries, especially in tech-focused industries.

How to get into remote AI governance?

To pursue a role in remote AI governance, candidates should develop expertise in AI ethics, policy, and compliance, often through degrees in computer science, law, or related fields. Gaining experience with AI tools, data management, and regulatory frameworks, along with strong communication skills, is essential for remote positions in this field.

Is remote AI governance a good career?

Remote AI governance involves overseeing the ethical and responsible use of artificial intelligence systems, often requiring skills in AI, policy, and compliance. It is a growing field with increasing demand for professionals who can ensure AI aligns with legal and ethical standards, offering opportunities in various industries and organizations. Success in this career typically depends on relevant expertise, certifications, and the ability to work independently in a remote environment.

What are the most commonly searched types of Ai Governance jobs in Decatur, GA?

The most popular types of Ai Governance jobs in Decatur, GA are:

What job categories do people searching Remote Ai Governance jobs in Decatur, GA look for?

The top searched job categories for Remote Ai Governance jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Remote Ai Governance jobs?

Cities near Decatur, GA with the most Remote Ai Governance job openings:

Remote Ai Governance jobs near you
Infographic showing various Remote Ai Governance job openings in Decatur, GA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $137,799 per year, or $66.2 per hour.

Agentic DevOps Lead

United Airlines

Atlanta, GA • Remote

$63.75 - $84/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location

This is a remote role based in the US.

About The Job You're Considering

The Enterprise AI Strategy & Projects Practice Lead is accountable for the vision, growth, governance, operating model, portfolio, and business outcomes of the Enterprise AI Strategy & Projects practice. This role serves as the senior leader responsible for turning AI opportunity into a scalable enterprise capability by aligning strategy, governance, delivery, engineering, adoption, financial accountability, and organizational transformation.

The Practice Lead owns the practice operating model and orchestrates a multidisciplinary team of AI strategy leaders, solution triage leaders, governance specialists, delivery leaders, fluency and adoption specialists, forward deployed engineers, DevOps leaders, GTM leaders, and supporting SMEs. The role ensures the practice operates as an integrated system rather than a collection of independent capabilities.

The Practice Lead is responsible for identifying market opportunities, shaping service offerings, building reusable intellectual property, driving client outcomes, growing delivery capability, developing talent, creating strategic partnerships, overseeing portfolio execution, and establishing Enterprise AI Strategy & Projects as a recognized leader in enterprise AI transformation.

Your Role

Practice Strategy & Leadership

  • Define and maintain the vision, mission, operating model, and strategic direction for the Enterprise AI Strategy & Projects practice.
  • Establish practice priorities that align market demand, client outcomes, business strategy, and emerging AI opportunities.
  • Create a multi-year roadmap for practice growth, capability development, service expansion, and market differentiation.
  • Evaluate emerging AI trends, technologies, operating models, and industry shifts to determine strategic relevance.
  • Serve as the senior accountable leader for practice performance, growth, execution quality, and value realization.

Practice Portfolio Management

  • Maintain executive visibility across the AI opportunity and delivery portfolio.
  • Balance investments across strategy, innovation, capability building, client delivery, workforce transformation, and operational improvement.
  • Establish portfolio governance, prioritization models, escalation paths, investment criteria, and decision frameworks.
  • Review and approve strategic initiatives entering practice execution.
  • Ensure portfolio resources are aligned to the highest-value opportunities and business priorities.

AI Strategy & Advisory Oversight

  • Provide executive oversight for enterprise AI strategy engagements, transformation programs, and innovation initiatives.
  • Guide the development of AI roadmaps, business cases, operating models, investment strategies, and transformation plans.
  • Ensure client AI strategies align with business goals, governance requirements, delivery realities, and value objectives.
  • Advise senior executives on AI adoption, organizational readiness, portfolio priorities, and transformation approaches.
  • Serve as an escalation point for strategic decisions requiring executive guidance.

Practice Operating Model & Capability Development

  • Design and continuously improve the operating model for Enterprise AI Strategy & Projects.
  • Define how strategy, triage, governance, delivery, fluency, engineering, DevOps, GTM, and FinOps capabilities work together.
  • Build repeatable methods, frameworks, accelerators, templates, and delivery assets.
  • Establish capability maturity objectives and improvement plans for the practice.
  • Drive operational excellence through standardization, reuse, automation, and continuous improvement.

Leadership of Practice Functions

  • Set priorities and accountability models across Enterprise AI Strategy, AI Security & Governance, AI FinOps, Enterprise AI Delivery, AI Solution Triage, AI Fluency, Forward Deployed Engineering, Agentic DevOps, and AI GTM & OCM.
  • Ensure practice functions operate through coordinated handoffs, shared standards, and unified portfolio visibility.
  • Resolve competing priorities across strategy, delivery, governance, engineering, adoption, and GTM workstreams.
  • Coordinate investment decisions that improve capability, repeatability, delivery quality, and practice growth.
  • Drive integrated execution across all workstreams so client outcomes are delivered through one cohesive practice model.
Responsibilities

Revenue Growth & Business Development

  • Own practice growth objectives and market expansion strategies.
  • Develop and mature service offerings, advisory capabilities, implementation services, and managed outcomes.
  • Support executive sales activities, strategic pursuits, account planning, and opportunity qualification.
  • Participate in executive client workshops, advisory sessions, and transformation discussions.
  • Identify strategic partnerships that expand the practice's reach and capability.

Client Executive Engagement

  • Serve as a trusted advisor to executive stakeholders and senior client leadership.
  • Help clients understand how AI affects operating models, workforce strategy, products, services, delivery models, and business performance.
  • Lead high-impact executive conversations concerning AI transformation and value realization.
  • Facilitate resolution of strategic issues affecting enterprise AI programs.
  • Build long-term executive relationships that increase trust and market credibility.

Talent & Workforce Leadership

  • Build and develop a high-performing team of AI leaders and specialists.
  • Define role structures, career paths, capability models, and succession planning strategies.
  • Recruit, mentor, and retain top AI talent.
  • Establish a culture of innovation, accountability, collaboration, learning, and client impact.
  • Promote knowledge sharing, capability transfer, and leadership development across the practice.

Governance, Risk & Quality Oversight

  • Ensure enterprise AI initiatives operate within appropriate governance, security, compliance, financial, and operational controls.
  • Establish quality standards for strategy, advisory, engineering, delivery, and adoption engagements.
  • Review major risks, delivery concerns, escalations, and portfolio challenges.
  • Maintain executive visibility into practice health and operational performance.
  • Create balance between innovation speed and enterprise control requirements.

Market Positioning & Thought Leadership

  • Establish the practice as a recognized leader in enterprise AI transformation.
  • Represent the practice in executive forums, industry events, client briefings, and strategic discussions.
  • Publish and promote reusable thought leadership, methodologies, frameworks, and AI transformation approaches.
  • Identify emerging market demand and develop new offerings accordingly.
  • Collaborate with GTM leaders to strengthen internal and external market visibility.
Your Skills And Experience

Required Qualifications

  • 15+ years of experience in technology leadership, consulting, digital transformation, enterprise strategy, business leadership, AI transformation, or related executive roles.
  • Proven experience building and leading multidisciplinary practices, business units, consulting organizations, or transformation functions.
  • Experience overseeing large portfolios of strategic initiatives and technology programs.
  • Strong understanding of enterprise AI, generative AI, automation, cloud platforms, governance, operating models, and organizational transformation.
  • Experience engaging executive stakeholders and leading complex business transformation efforts.
  • Strong capability in business development, practice management, financial planning, and organizational growth.
  • Demonstrated leadership of cross-functional teams across strategy, delivery, technology, and business domains.

Preferred Qualifications

  • Experience with Microsoft Copilot, Azure OpenAI, OpenAI Enterprise, Anthropic Claude, Google Gemini, AWS Bedrock, or comparable enterprise AI ecosystems.
  • Experience leading AI Centers of Excellence, transformation offices, innovation organizations, consulting practices, or technology portfolios.
  • Familiarity with AI governance, Responsible AI, FinOps, cloud economics, platform strategy, and enterprise architecture.
  • Experience developing market-facing service offerings and transformation methodologies.
  • Experience in consulting, professional services, managed services, enterprise technology organizations, or large-scale business transformation environments.
  • Relevant certifications in strategy, leadership, cloud, AI, enterprise architecture, transformation, finance, or organizational change.

Knowledge, Skills & Abilities

  • Strong executive leadership and organizational management capability.
  • Ability to align strategy, governance, engineering, delivery, adoption, and operations into a cohesive transformation function.
  • Deep understanding of AI business value, enterprise transformation, and operating model change.
  • Strong portfolio management and prioritization skills.
  • Ability to lead senior executives through complex decisions and organizational change.
  • Strong business development and market-growth capability.
  • Strong communication, storytelling, facilitation, and executive-influence skills.
  • Ability to build sustainable, scalable, and repeatable enterprise capabilities.

Leadership Expectations

  • Operate as the accountable executive for the Enterprise AI Strategy & Projects practice.
  • Build a high-performing leadership team capable of scaling enterprise AI transformation.
  • Drive alignment across all practice functions and stakeholders.
  • Establish a culture of innovation balanced with governance, accountability, and measurable outcomes.
  • Develop future practice leaders and succession pipelines.
  • Create strategic differentiation in the market through capability, delivery excellence, and thought leadership.
  • Ensure the practice consistently delivers measurable client and business impact.

The base compensation range for this role in the posted location is: $94,248 - $191,950.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement w...

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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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