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

RELX

Director, AI Strategy & Execution

Alpharetta, GA · On-site

In addition to overseeing AI strategy and delivery, this leader will champion enterprise AI ... Experience developing enterprise strategies, roadmaps, governance models, and execution frameworks.

Candescent

Director Product Counsel

Atlanta, GA · On-site

This leader will drive legal governance programs, oversee artificial intelligence (AI) governance ... Directors. • Demonstrated success building governance frameworks and scalable legal processes in ...

Invesco

Sr. Director, AI Program

Atlanta, GA · On-site

$111K - $112K/yr

The Role As a Senior Director in the Enterprise Transformation Office, you will partner closely ... Establish and manage program governance structures , including executive steering committees ...

Invesco

Sr. Director, AI Program

Atlanta, GA · Hybrid

$111K - $112K/yr

The Role As a Senior Director in the Enterprise Transformation Office, you will partner closely ... Establish and manage program governance structures , including executive steering committees ...

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Director Ai Governance information

See Decatur, GA salary details

$32.7K

$114.7K

$190.9K

How much do director ai governance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director ai governance in Decatur, GA is $114,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $153,300.00 per year, depending on experience, location, and employer.

What does a director AI governance do?

A Director of AI Governance is responsible for developing, implementing, and overseeing policies and frameworks to ensure the ethical, responsible, and compliant use of artificial intelligence within an organization. They work to identify and mitigate risks associated with AI technologies, such as bias, privacy concerns, and regulatory compliance. This role typically involves collaborating with legal, technical, and executive teams to align AI initiatives with organizational values and industry standards.

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

To thrive as a Director of AI Governance, you need deep knowledge of AI technologies, risk management, and regulatory compliance, typically supported by an advanced degree in computer science, law, or a related field. Familiarity with AI frameworks, data privacy tools, and governance standards like ISO/IEC 38507 is essential. Strong leadership, ethical judgment, and stakeholder communication skills set exceptional candidates apart. These competencies ensure the responsible deployment of AI, alignment with legal requirements, and organizational trust in AI-driven initiatives.

What are some common challenges faced by a director AI governance when implementing new policies across an organization?

A Director of AI Governance often encounters challenges such as ensuring consistent policy adoption across diverse business units, addressing varying levels of AI literacy among stakeholders, and balancing innovation with risk management. Navigating regulatory compliance in different jurisdictions and keeping up with rapidly evolving AI technologies also require ongoing attention. Successful Directors foster cross-functional collaboration, provide regular training, and build clear communication channels to help teams understand and integrate governance frameworks effectively.

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:

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Director Ai Governance jobs near you

Lead Agile Coach - AI PDLC Specialist

Purple Hires Inc

Atlanta, GA • Remote

Full-time

Re-posted 22 days ago

Job description

Role: Lead Agile Coach – AI PDLC Specialist

Location: United States or Canada (Remote)
Employment Type: Full-Time
 
Below is the detailed job description for your reference -
 

Job Description: 

About the Role
We are seeking a highly experienced Lead Agile Coach – AI PDLC Specialist to lead enterprise-scale Agile transformations while driving the adoption of AI-enabled Product Development Lifecycle (PDLC) practices.
This is a strategic leadership role requiring deep expertise in Scaled Agile (SAFe), Agile coaching, AI governance, AI operating models, and enterprise AI transformation. The ideal candidate has successfully implemented Agile frameworks across large organizations and has hands-on experience designing AI governance frameworks, AI PDLC playbooks, and AI-powered delivery models.
Candidates must demonstrate practical implementation experience—not just certifications or advisory experience.
Key Responsibilities

  • Lead enterprise Agile transformations across Team, ART, and Portfolio levels.

  • Implement and coach Agile frameworks including:

    • SAFe 5/6

    • Scrum

    • Kanban

    • Lean

    • Nexus

    • Scrum@Scale

    • Spotify Model

  • Design and launch Agile Release Trains (ARTs), conduct Value Stream Mapping, and facilitate PI Planning.

  • Drive Agile maturity through coaching, continuous improvement, Lean Portfolio Management, and delivery metrics.

  • Independently manage complex AI PDLC programs, risks, dependencies, governance, and executive reporting.

  • Develop AI Governance Frameworks, Responsible AI policies, AI Operating Models, and AI Governance Playbooks.

  • Partner with Legal, Risk, Compliance, Security, and Data Governance teams to ensure responsible AI adoption.

  • Design and enable enterprise AI Agents supporting:

    • Product Discovery

    • Backlog Management

    • Story Decomposition

    • Sprint & PI Planning

    • Dependency Management

    • Flow Metrics & OKRs

    • Continuous Improvement

  • Coach Product Managers, Product Owners, Scrum Masters, RTEs, and executive leadership on AI-enabled Agile delivery.

  • Deliver Agile and AI training programs, workshops, Communities of Practice (CoPs), and executive coaching sessions.

  • Act as a trusted advisor to business and technology leadership.

Required Technical Skills
Agile & Scaled Agile

  • 10+ years in Technology

  • 7+ years as a Senior/Lead Agile Coach

  • Strong hands-on SAFe implementation experience

  • SAFe Roadmap implementation

  • Value Stream Mapping

  • ART Design & Launch

  • PI Planning

  • Lean Portfolio Management

  • Business Agility

  • Agile Metrics & Continuous Improvement

AI PDLC & Governance

  • AI Product Development Lifecycle (PDLC)

  • AI Governance Frameworks

  • Responsible AI

  • AI Operating Models

  • AI Governance Playbooks

  • AI Risk Management

  • Human-in-the-Loop (HITL)

  • Model Risk Registers

  • AI Ethics & Compliance

  • Business Agility Dashboards

AI Agent Technologies
Experience working with:

  • LangChain

  • LangGraph

  • CrewAI

  • AutoGen

  • Azure OpenAI

  • AWS Bedrock

  • Google Vertex AI

  • Retrieval-Augmented Generation (RAG)

  • Multi-Agent Architectures

  • Prompt Engineering

  • AI Observability

  • AI Guardrails

Agile Tooling

  • Jira

  • Azure DevOps

  • Big Picture

  • Agile Central

  • Confluence

  • ProductBoard

Preferred Certifications

  • SAFe Program Consultant (SPC 6.0 Preferred)

  • SAFe SPC 5.0

  • PMI-ACP

  • PSM I / PSM II

Certifications are preferred; however, demonstrated hands-on implementation experience is significantly more important.
 
Required Experience

  • 10+ years in software delivery or technology.

  • 7+ years leading Agile transformations.

  • Proven experience implementing SAFe at enterprise scale.

  • Hands-on experience leading AI PDLC initiatives.

  • Experience developing AI Governance Frameworks and AI Operating Models.

  • Experience coaching executive leadership.

  • Strong background managing enterprise AI transformation programs.

  • Demonstrated success leading multiple Agile Release Trains (ARTs).

  • Experience building scalable AI-enabled delivery practices.

Leadership & Soft Skills

  • Executive stakeholder management

  • Servant leadership

  • Strong facilitation and coaching skills

  • Excellent communication and presentation abilities

  • Strategic thinking and decision-making

  • Design Thinking mindset

  • Organizational change management

  • Conflict resolution

  • Self-directed leadership

  • Analytical and problem-solving skills

  • Ability to influence senior leadership and drive enterprise-wide adoption