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Digital Accelerator Jobs (NOW HIRING)

ALTEN Technology USA

Digital AI Accelerator

Kinston, NC · On-site

Position Summary We are seeking a pragmatic, high-energy Digital AI Accelerator to drive AI literacy, adoption, and practical AI use case discovery at the Airbus Kinston manufacturing site. This role ...

ALTEN Technology USA

Digital AI Accelerator

Kinston, NC · On-site

Position Summary We are seeking a pragmatic, high-energy Digital AI Accelerator to drive AI literacy, adoption, and practical AI use case discovery at the Airbus Kinston manufacturing site. This role ...

ALTEN Technology USA

Digital AI Accelerator

Kinston, NC · On-site

Position Summary We are seeking a pragmatic, high-energy Digital AI Accelerator to drive AI literacy, adoption, and practical AI use case discovery at the Airbus Kinston manufacturing site. This role ...

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How much do digital accelerator jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for digital accelerator in the United States is $47.25, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $61.30 per hour, depending on experience, location, and employer.

What is a digital accelerator?

A Digital Accelerator is a professional or program focused on rapidly enhancing an organization's digital capabilities. They help businesses adopt new technologies, optimize digital strategies, and drive digital transformation to stay competitive in the market. Digital Accelerators often work on implementing tools such as cloud computing, data analytics, and automation to streamline operations and improve customer experiences. Their goal is to enable companies to adapt quickly to technological changes and achieve sustainable growth.

How does a digital accelerator typically collaborate with cross-functional teams to drive digital transformation projects?

Digital Accelerators often work closely with stakeholders from IT, marketing, operations, and product teams to identify opportunities for digital innovation. They facilitate workshops, gather business requirements, and use agile methodologies to ensure alignment and rapid progress. Effective communication and project management skills are essential, as Digital Accelerators act as a bridge between technical and non-technical teams, ensuring that digital initiatives are delivered successfully and meet business goals.

What are the key skills and qualifications needed to thrive as a digital accelerator, and why are they important?

To thrive as a Digital Accelerator, you need expertise in digital transformation, project management, and strategic planning, often supported by a background in business, IT, or related certifications. Familiarity with digital tools such as CRM systems, data analytics platforms, and agile project management software is crucial. Strong communication, leadership, and change-management skills help drive adoption and foster collaboration across teams. These abilities enable successful implementation of digital initiatives that enhance organizational efficiency and competitiveness.

What are the most commonly searched types of Digital Accelerator jobs?

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Infographic showing various Digital Accelerator job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $98,272 per year, or $47.2 per hour.

Digital AI Accelerator

Kinston, NC • On-site

ALTEN Technology USA
Engineering Professional Services • 10K+ employees
Learn more about ALTEN Technology USAexternal

Full-time

Re-posted 2 days ago

Job description

Position Summary

We are seeking a pragmatic, high-energy Digital AI Accelerator to drive AI literacy, adoption, and practical AI use case discovery at the Airbus Kinston manufacturing site. This role will serve as a catalyst for accelerating the effective use of AI technologies across manufacturing and operational teams by identifying opportunities, educating stakeholders, and translating business challenges into scalable AI solutions.

The ideal candidate combines strong AI literacy across enterprise AI platforms, including Google Gemini, Workspace AI capabilities, and low-code/no-code tools, with a solid understanding of manufacturing operations and continuous improvement practices. While deep software engineering expertise is not required, the successful candidate must be able to bridge the gap between operational needs and technical possibilities by defining, prioritizing, and shaping AI-driven solutions that deliver measurable business value.

Responsibilities
  • Drive AI awareness, literacy, and adoption across manufacturing and operational functions.
  • Identify operational inefficiencies, process bottlenecks, and business challenges that may benefit from AI-enabled solutions.
  • Facilitate workshops, demonstrations, and training sessions to increase understanding and practical use of AI tools.
  • Partner with manufacturing, engineering, quality, supply chain, and support teams to discover and assess AI opportunities.
  • Translate operational requirements into clearly defined AI use cases and solution concepts.
  • Evaluate and promote the effective use of enterprise AI platforms, including Google Gemini and Workspace AI capabilities.
  • Leverage low-code/no-code technologies to rapidly prototype and validate AI-driven solutions.
  • Collaborate with technical teams and stakeholders to scope, prioritize, and implement AI initiatives.
  • Monitor AI adoption, user engagement, and business outcomes, providing recommendations for continuous improvement.
  • Act as a trusted advisor and change agent, helping teams integrate AI capabilities into day-to-day operations.
  • Ensure AI initiatives align with business objectives, operational priorities, and governance requirements.
  • Maintain awareness of emerging AI technologies, trends, and best practices relevant to manufacturing environments.
Qualifications
  • Bachelor's degree in Engineering, Manufacturing, Information Technology, Business, Data Analytics, or a related field, or equivalent practical experience.
  • Demonstrated understanding of artificial intelligence concepts, enterprise AI tools, and generative AI applications.
  • Experience using or supporting AI-enabled platforms such as Google Gemini, Workspace AI tools, or similar enterprise AI technologies.
  • Knowledge of low-code/no-code platforms and their application to business process improvement.
  • Strong ability to identify operational challenges and translate them into actionable technology solutions.
  • Experience working within manufacturing, industrial, operations, or production environments.
  • Excellent communication, presentation, facilitation, and stakeholder engagement skills.
  • Ability to influence and drive organizational change through collaboration and education.
  • Strong analytical and problem-solving skills with a focus on delivering practical business outcomes.
  • Comfortable working across technical and non-technical teams and communicating with all levels of the organization.
  • Self-motivated, energetic, and capable of managing multiple initiatives in a dynamic environment.
  • Experience supporting digital transformation, process improvement, continuous improvement, or innovation programs is preferred.
  • Familiarity with data analysis, automation tools, and AI governance considerations is a plus.
 

Salary Range: 90,000 - 115,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience 

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