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Ai And Automation Manager

Job in Honolulu, Honolulu County, Hawaii, 96849, USA
Listing for: TEKsystems
Full Time position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 41.35 - 62.5 USD Hourly USD 41.35 62.50 HOUR
Job Description & How to Apply Below
AI and Automation Manager

Job Description The AI and Automation Manager leads and oversees the planning, development, and implementation of artificial intelligence (AI) automation strategies and solutions within the organization. This role involves managing multidisciplinary teams, collaborating with stakeholders, and ensuring that AI-driven and automation projects align with business objectives, ethical standards, and regulatory requirements.

Responsibilities Develop and execute the organization's AI and automation strategy in alignment with overall business goals.

Oversee the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment and maintenance.

Lead and mentor a team of AI and automation specialists, data scientists, engineers, and analysts.

Collaborate with cross-functional teams including IT, product, operations, and compliance to ensure successful project outcomes.

Monitor industry trends and emerging technologies to identify opportunities for innovation and improvement.

Establish and enforce best practices for AI model development, testing, validation, and deployment.

Ensure that all AI and automation solutions adhere to ethical guidelines, data privacy laws, and regulatory standards.

Manage budgets, timelines, and resource allocation for AI and automation initiatives.

Communicate project progress, risks, and outcomes to lead leadership and stakeholders.

Foster a culture of learning and innovation within the team.

Essential Skills Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or equivalent combination of education and experience.

Five years of experience in managing AI, Automation, machine learning, or data science projects.

Two years of supervisory or management experience.

Experience with cloud platforms and data technologies.

Deep understanding of AI methodologies, including supervised and unsupervised learning, NLP, computer vision, and predictive analytics.

Familiarity with regulatory frameworks (e.g., GDPR, CCPA) and ethical principles in AI development.

Strong understanding of data security, privacy, and ethical considerations in AI.Intermediate knowledge of Microsoft Office applications, including Word, Excel, Outlook, and PowerPoint.

Proficiency in programming languages such as Python, R, and AI frameworks like Tensor Flow, PyTorch.

Additional

Skills and Qualifications Experience in AI Governance, Security, and Compliance.

Strategic Program Management and Executive Stakeholder Management skills.

Ability to teach, mentor, and upskill others on AI technologies.

Strong foundation in software engineering, data engineering, systems administration, or full-stack development.

Experience leading multidisciplinary teams, including engineers, data scientists, and analysts.

Comfortable leading highly technical teams and making architecture decisions.

Experience in building AI solutions, workflows, agents, copilots, automation, and machine learning applications.

Experience with cloud platforms, data technologies, and data pipelines.

Ability to design scalable technical solutions and development environments.

Work Environment This is a hybrid role with 2-3 days in the office located in Honolulu, HI, USA. The workspace is a collaborative environment where you can demonstrate your findings and ideas to the group.

Job Type & Location This is a Contract position based out of Honolulu, HI.Pay and Benefits The pay range for this position is $41.35 - $62.50/hr individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some…
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