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Ai Change Management Jobs in Raleigh, NC (NOW HIRING)

Mondo

Marketing Operations & AI Strategist

Durham, NC · Remote

Marketing Operations & AI Strategist Location-Type: Remote (must reside in one of the following ... Experience leading change management initiatives tied to the introduction of new technologies and ...

NetApp, Inc.

IT Product Manager

Morrisville, NC · On-site

Support transformation initiatives like proactive support tiering, AI integration, real-time dashboards, and enhanced customer experience. Change Management & Communication * Develop and execute ...

Avalara

Project Manager, Revenue Operations

Durham, NC · On-site

$122K/yr

You will combine program management expertise with, change leadership, and the ability to use AI-driven tools and data insights to improve decision-making and operational efficiency What Your ...

NetApp

IT Product Manager

Morrisville, NC

Support transformation initiatives like proactive support tiering, AI integration, real-time dashboards, and enhanced customer experience. Change Management & Communication * Develop and execute ...

RELX

Strategic Customer Success Manager

Raleigh, NC · On-site

Drive change management and enablement programs -- training sessions, best-practice playbooks, and internal champions -- that build client confidence and fluency with our AI solution * Deliver ...

RELX

Strategic Customer Success Manager

Raleigh, NC

Drive change management and enablement programs - training sessions, best-practice playbooks, and internal champions - that build client confidence and fluency with our AI solution * Deliver insights ...

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Ai Change Management information

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How much do ai change management jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai change management in Raleigh, NC is $70.81, according to ZipRecruiter salary data. Most workers in this role earn between $54.42 and $84.38 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an AI Change Management professional?

To thrive as an AI Change Management professional, you need a solid background in change management principles, project management, and a foundational understanding of AI technologies, often supported by degrees in business, information systems, or related certifications like PROSCI or PMP. Familiarity with AI platforms, data analytics tools, collaboration software, and change management systems is typically required. Exceptional communication, stakeholder engagement, and problem-solving skills help you navigate resistance and foster adoption across diverse teams. These competencies are crucial for ensuring smooth transitions, maximizing the value of AI initiatives, and minimizing disruption within organizations.

How to become an AI change management professional?

To become an AI change management professional, develop a strong understanding of change management principles, project management, and AI technologies. Earning certifications such as Prosci or PMP and gaining experience in managing organizational change during AI implementations are valuable. Strong communication, problem-solving skills, and familiarity with AI tools and data are also important for success in this role.

What is AI Change Management?

AI Change Management refers to the process of guiding organizations through the adoption and integration of artificial intelligence technologies. It involves preparing employees, updating business processes, and managing any challenges or resistance that arise during the transition. The goal is to ensure that AI solutions are implemented smoothly and that teams are equipped to use these new tools effectively. AI Change Management professionals use strategies like training programs, stakeholder engagement, and communication plans to support successful transformation.

What is the difference between Ai Change Management vs Data Analyst?

AspectAi Change ManagementData Analyst
Required CredentialsCertifications in change management, AI tools, and project managementDegree in data science, statistics, or related field; often certifications in data analysis tools
Work EnvironmentCross-functional teams, project-based, corporate settingsData-focused roles, offices, or remote work in analytics departments
Employer & Industry UsageTech companies, consulting firms, large enterprises implementing AI solutionsBusiness, finance, healthcare, and tech sectors analyzing data for insights

Ai Change Management focuses on overseeing AI implementation and managing organizational change, while Data Analysts interpret data to support decision-making. Both roles require analytical skills, but Ai Change Management emphasizes change strategies and project coordination, whereas Data Analysts focus on data processing and reporting.

What does an AI change management do?

An AI change management professional oversees the process of implementing artificial intelligence solutions within an organization, ensuring smooth adoption and minimal disruption. They develop strategies for change communication, training, and stakeholder engagement, often using project management tools and frameworks to facilitate successful AI integration.

How does an AI Change Management professional collaborate with cross-functional teams during an AI implementation project?

AI Change Management professionals play a vital role in bridging the gap between technical teams and business stakeholders. They work closely with data scientists, IT specialists, and department leaders to ensure smooth adoption of AI solutions, facilitating communication, addressing concerns, and aligning project goals with organizational objectives. Regular meetings, workshops, and training sessions are common, as these professionals help manage expectations, monitor progress, and drive user engagement throughout the transition. Their collaborative approach is essential for minimizing resistance and ensuring that the benefits of AI are fully realized across the organization.
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What cities near Raleigh, NC are hiring for Ai Change Management jobs? Cities near Raleigh, NC with the most Ai Change Management job openings:
Ai Change Management jobs near you
Infographic showing various Ai Change Management job openings in Raleigh, NC as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,281 per year, or $70.8 per hour.

Marketing Operations & AI Strategist

Mondo

Durham, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Job Title: Marketing Operations & AI Strategist Location-Type: Remote (must reside in one of the following states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY, MD, MI, MN, MO, NC, NH, NJ, NY, OH, OR, PA, SC, TN, TX, UT, VA, VT, WA) Start Date: ASAP Duration: Permanent Compensation Range: $180,000 - $200,000 plus 15% Bonus Benefits: Medical (PPO and HDHP options via Client, including HSA with company contributions), Dental and Vision, FSA and Dependent Care Account, company-paid Life Insurance, STD and LTD, voluntary benefits (Supplemental Life, Critical Illness, Accident, Pet Insurance), 401(k) with up to 3% employer match and no vesting period, Flexible PTO, 10 company holidays, Parental Leave, Paid Volunteer Time Off, Employee Reimbursement Program (well-being, technology, or professional development). Annual performance bonus of 15%. Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a hands-on Marketing Operations & AI Strategist to architect and execute an AI-native transformation of the marketing function, owning both the strategic vision and the technical build across HubSpot, Salesforce, and adjacent GTM systems. Job Summary Define and execute the organization's AI strategy for marketing, designing and deploying AI-powered workflows, agents, and decision systems tied to measurable pipeline and revenue outcomes. Architect scalable marketing operations infrastructure across HubSpot, Salesforce, and related GTM tools, partnering with GTM Engineering on integrations and data flows. Build next-generation attribution models and AI-driven reporting systems that connect marketing activity to pipeline and revenue performance. Own lifecycle strategy and implementation, including intelligent lead scoring, routing, segmentation, and nurture using behavioral and firmographic data. Build a repeatable, scalable campaign operating system with standardized frameworks, templates, and QA processes. Eliminate manual and fragmented processes through automation and AI, replacing them with intelligent, optimized workflows. Drive adoption of new tools, systems, and ways of working across Marketing, Sales, GTM Ops, and Leadership, mentoring team members and elevating overall operations maturity. Minimum Requirements: 10 years of experience in Marketing Operations, Growth Operations, or Marketing Analytics within a B2B SaaS environment. Expert-level HubSpot proficiency (3-5 recent years) spanning campaign architecture, attribution, reporting, lead scoring, segmentation, and Salesforce integrations. Strong Salesforce expertise and deep understanding of marketing technology ecosystems, data architecture, APIs, integrations, and funnel analytics. Proven track record building, scaling, and optimizing marketing operations functions and systems from the ground up in a hands-on individual contributor capacity. Hands-on experience deploying AI into production marketing workflows using tools such as Claude, ChatGPT, Gemini, AI agents, prompt engineering, and workflow automation. Demonstrated ability to connect AI initiatives to measurable business outcomes including pipeline growth, revenue impact, and operational efficiency. Strong business acumen with the ability to translate complex data into clear, strategic recommendations for senior leadership. Preferred Qualifications: Experience building an AI-first marketing operations function from the ground up, including designing or managing AI agents or autonomous workflows in a production environment. Demonstrated ability to maintain code bases for technical marketing systems such as lead scoring models. Background in high-growth or transformation-stage SaaS companies with a track record of rebuilding attribution in complex GTM environments. Experience leading change management initiatives tied to the introduction of new technologies and Client operational approaches. Familiarity with development and architecture best practices and comfort working with APIs and debugging complex, multi-system integrations.