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Ai Transformation Manager Jobs in Raleigh, NC (NOW HIRING)

We are seeking a Manager Consultant to support our clients' AI transformation journeys while contributing to the continued growth of our AI Advisory practice. The ideal candidate combines strong ...

We are seeking a Manager Consultant to support our clients' AI transformation journeys while contributing to the continued growth of our AI Advisory practice. The ideal candidate combines strong ...

Senior Product Manager, AI

Raleigh, NC · On-site

$123K - $162K/yr

Bring experience defining or leading enterprise AI transformation initiatives within software, industrial technology, infrastructure, asset management, or adjacent markets. * Demonstrate Resourceful ...

... data transformation, and management of structured and unstructured data sources using cloud ... Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted ...

Analyze client processes, systems, and data landscapes to identify AI transformation opportunities ... Experience in management consulting and/or systems integration environments * Strong background in ...

New

Managing day-to-day client interactions, project plans, deliverables, and team coordination across ... and AI transformation. Tech Strategy, part of Strategy Offering, helps clients unlock business ...

... AI transformation. This position will build deep understanding of finance processes and data and ... Manage portfolio-level tracking, executive dashboards, and metrics across all finance AI/ML use ...

Showing results 21-40

Ai Transformation Manager information

See Raleigh, NC salary details

$28.2K

$101.7K

$114.7K

How much do ai transformation manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai transformation manager in Raleigh, NC is $101,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $113,200.00 per year, depending on experience, location, and employer.

What is the difference between Ai Transformation Manager vs Data Scientist?

AspectAi Transformation ManagerData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or related fields; certifications in AI/MLBachelor's or master's in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI strategyAnalyzes data, develops models, interprets data insights
Employer & Industry UsageUsed in tech, finance, healthcare to oversee AI initiativesUsed across industries for data analysis, predictive modeling

The Ai Transformation Manager focuses on leading AI strategy and implementation within organizations, managing teams and projects. In contrast, Data Scientists primarily analyze data and develop models to extract insights. While both roles require knowledge of AI and machine learning, the Ai Transformation Manager emphasizes strategic oversight and project management, whereas Data Scientists concentrate on technical data analysis and model development.

What is the role of an AI transformation manager?

An AI transformation manager oversees the integration of artificial intelligence technologies into business processes, ensuring strategic alignment and successful implementation. They coordinate cross-functional teams, manage project timelines, and utilize tools like data analytics and AI platforms to drive digital transformation initiatives.

What cities near Raleigh, NC are hiring for Ai Transformation Manager jobs?

Cities near Raleigh, NC with the most Ai Transformation Manager job openings:

Infographic showing various Ai Transformation Manager job openings in Raleigh, NC as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $101,656 per year, or $48.9 per hour.

CCaaS x AI, Manager, Technical Transformation

Deloitte

Raleigh, NC • On-site

$112K - $113K/yr

Full-time

Re-posted 14 days ago


Key responsibilities

  • Lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions.

  • Design scalable AWS-based solutions and incorporate Generative AI patterns, translating client requirements into technical architectures and integration designs.

  • Partner with stakeholders to resolve technical decisions, manage delivery risks, and support proposals and estimates.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Qualifications:

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

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