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Ai Strategy Jobs in Decatur, GA (NOW HIRING)

ServiceNow

Solution Architect - AI & Data

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

AI Strategy & Transformation Advisory * Lead enterprise AI transformation engagements - from opportunity identification and business case development through to operating model design and value ...

KPMG

Director, AI Engineer

Atlanta, GA · On-site

KPMG is currently seeking a Director, AI Strategy Architect to join our Advisory Services practice. Responsibilities: * Lead end-to-end AI solution development or transformation programs using cloud ...

Arclin

Vice President, IT, Digital & AI

Alpharetta, GA · On-site

$153K - $191K/yr

Key Responsibilities Enterprise IT & Digital Strategy * Define and execute a unified IT, digital, and AI strategy aligned to Arclin's business objectives and growth roadmap * Identify high-value ...

Arclin

Vice President, IT, Digital & AI

Alpharetta, GA · Hybrid

$153K - $191K/yr

Key Responsibilities Enterprise IT & Digital Strategy * Define and execute a unified IT, digital, and AI strategy aligned to Arclin's business objectives and growth roadmap * Identify high-value ...

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Ai Strategy information

See Decatur, GA salary details

$54.2K

$121.7K

$212.4K

How much do ai strategy jobs pay per year?

As of Jul 3, 2026, the average yearly pay for ai strategy in Decatur, GA is $121,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $153,800.00 per year, depending on experience, location, and employer.

What is an AI Strategy job?

An AI Strategy job focuses on developing and implementing plans to leverage artificial intelligence for business growth and efficiency. Professionals in this role assess AI opportunities, align AI initiatives with company objectives, and ensure ethical and scalable deployment. They collaborate with technical teams, executives, and stakeholders to drive AI adoption while managing risks and compliance.

What are some common challenges faced in an AI Strategy role, and how can professionals overcome them?

Professionals in AI Strategy roles often encounter challenges such as aligning AI initiatives with overall business objectives, managing data quality and accessibility, and addressing concerns around change management and adoption. Successfully overcoming these hurdles requires continuous collaboration with technical teams, business leaders, and stakeholders to ensure everyone understands the value and limitations of AI solutions. A proactive approach to education and communication, as well as staying current with AI trends and ethical considerations, helps address resistance to change and fosters buy-in. Building a multidisciplinary team and implementing robust project management methodologies can also facilitate smoother execution of AI strategies.

What are the key skills and qualifications needed to thrive in the Ai Strategy position, and why are they important?

To thrive in an AI Strategy role, you need a strong background in artificial intelligence, business analysis, and strategic planning, often supported by degrees in computer science, engineering, or business and experience with AI-driven project management. Familiarity with machine learning frameworks, data analytics platforms, and certifications such as Certified AI Professional (CAIP) or related business strategy credentials are highly beneficial. Excellent leadership, communication, and stakeholder management skills set successful professionals apart in this field. These competencies enable you to align AI technologies with business objectives, effectively drive innovation, and manage cross-functional teams for successful AI adoption.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and leadership. These roles usually involve strategic decision-making, managing large teams, and overseeing AI projects in technology companies or research institutions, with compensation reflecting experience and impact.

What does an AI strategist do?

An AI strategist develops and implements AI-driven solutions to help organizations achieve their goals. They analyze business needs, identify opportunities for AI integration, and collaborate with technical teams to design strategies using tools like machine learning and data analytics. Strong knowledge of AI technologies, industry trends, and project management are essential for this role.

How to get a job in AI strategy?

To pursue a career in AI strategy, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI technologies and business applications. Gaining experience through internships, certifications in AI or machine learning, and developing skills in strategic planning and communication can improve job prospects. Familiarity with tools like Python, cloud platforms, and AI frameworks is also beneficial.

How much do AI strategists make?

AI strategists typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can command higher salaries, often exceeding $200,000.
What are popular job titles related to Ai Strategy jobs in Decatur, GA? For Ai Strategy jobs in Decatur, GA, the most frequently searched job titles are:
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Ai Strategy jobs near you
Solution Architect - AI & Data

Solution Architect - AI & Data

ServiceNow

Atlanta, GA • On-site, Remote

$60.50 - $79.75/hr

Full-time

Posted 16 days ago

Job description

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
The Team
The Customer Excellence Group at ServiceNow works with customers to help them achieve their business outcomes by providing prescriptive guidance. As part of the Customer Excellence Group, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment.
Solution Architect - AI & Data, Expert Services
As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how enterprise organizations adopt AI at the core of their operating models. This role goes beyond implementation - it bridges C-suite advisory, enterprise architecture, and organizational change to deliver lasting transformation outcomes.
The Solution Architect - AI & Data will operate at the intersection of AI strategy, solution architecture, and customer success - leading engagements from transformation vision and use-case definition through architecture design, governance, adoption, and ongoing value realization.
What you will do in this role:
AI Strategy & Transformation Advisory
  • Lead enterprise AI transformation engagements - from opportunity identification and business case development through to operating model design and value realization.
  • Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite.
  • Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda.
  • Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures.

Solution Architecture & Delivery Leadership
  • Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and enterprise integrations (A2A, MCP).
  • Lead scoping and solutioning for complex, multi-workload AI engagements - ensuring architectural integrity, scalability, and alignment to customer outcomes.
  • Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution.
  • Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs.
  • Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business objectives.
  • Define integration patterns and architectural standards for connecting data catalog solutions across heterogeneous enterprise environments - cloud platforms, data warehouses, BI layers, and ServiceNow workflows.

Data Architecture & Catalog Strategy
  • Lead the architectural design of enterprise data catalog programs - defining scope, platform selection criteria, governance operating models, and phased adoption roadmaps.
  • Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases.
  • Shape data architecture principles and standards that underpin AI readiness - including data lineage, metadata quality, classification taxonomies, and access governance.
  • Translate complex data architecture requirements into clear, actionable designs that can be executed by delivery and technical teams.
  • Define success metrics and maturity benchmarks for data catalog programs, enabling customers to track progress and demonstrate value to executive stakeholders.

AI Governance, Risk & Responsible AI
  • Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures.
  • Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies.
  • Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs.
  • Guide customers in regulated industries on aligning data catalog and governance architectures to compliance and regulatory obligations, embedding controls into the design rather than as an afterthought.
  • Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment.

Adoption, Enablement & Change Management
  • Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications.
  • Define adoption KPIs and value realization metrics; track and report outcomes; provide consultative guidance for continuous optimization and expansion.
  • Coach customer teams to build internal AI capability, reducing dependency and accelerating long-term self-sufficiency.
  • Monitor adoption, usage, and value realization metrics post-deployment; provide recommendations for risk mitigation and growth.

Practice Development & Thought Leadership
  • Collaborate cross-functionally with Sales, Solution Consulting, Customer Success, Platform, and Product teams to embed AI advisory across the customer lifecycle.
  • Build and maintain industry-specific AI advisory playbooks and frameworks - verticalized use-case catalogs, value models, governance templates, and deployment patterns - to support scalable, repeatable delivery.
  • Act as a thought-leader internally and externally: contribute to white papers, points-of-view, reference architectures, best-practice guides, and represent the organization at AI forums and customer briefings.
  • Support pre-sales by qualifying opportunities, shaping proposals, and presenting transformation vision to executive buyers.

Qualifications
To be successful in this role, you will have
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale.
  • ServiceNow domain knowledge, including: Now Assist and Generative AI Skills / Skill Kit, AI Agents and Agentic workflows, AI Control Tower, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP).
  • Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements - including use-case definition, business case development, integration, data strategy, governance, and operational adoption.
  • Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks.
  • Demonstrated ability to architect enterprise data catalog and metadata management strategies, with knowledge of platforms.
  • Excellent communication and interpersonal skills - ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making.
  • Experience working in fast-paced, dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels, from early adopters to AI-ready enterprises.
  • Working knowledge of knowledge graph principles, semantic technologies, and standards (RDF, SPARQL) as applied to enterprise data architecture.
  • Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience. ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable.
  • AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable.
  • Background in one or more target industries - Financial Services, Healthcare, Public Sector, Manufacturing, or Retail - is highly desirable.

Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
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About ServiceNow

Sourced by ZipRecruiter

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2004

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