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Work Based Learning Program Aws Jobs in Elizabeth, NJ

Stepful

Director, Learning Programs

New York, NY · On-site

$180K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... work closely with Product, Operations, Compliance, and healthcare partners. This role is ideal for ... offering based on student needs, business priorities, and healthcare workforce demand. * Program ...

Deloitte

Forward Deployed Engineer- AWS

Morristown, NJ · On-site

... Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

Deloitte

Forward Deployed Engineer- AWS

New York, NY

... Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

Vertical Relevance

AWS Data Cloud Consultant

Manhattan, NY · On-site

$130 - $160/hr

... and work remotely. This person is responsible for the end‑to‑end planning, building, and ... learning and taking ownership for the outcomes our customers experience. Are you ready to join the ...

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All JobsWork Based Learning Program Aws JobsWork Based Learning Program Aws Jobs in Elizabeth, NJ

Work Based Learning Program Aws information

See Elizabeth, NJ salary details

$47.3K

$81.9K

$184.7K

How much do work based learning program aws jobs pay per year?

As of Aug 18, 2026, the average yearly pay for work based learning program aws in Elizabeth, NJ is $81,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,600.00 per year, depending on experience, location, and employer.

What is a work based learning program with AWS?

A Work Based Learning Program with AWS is an educational initiative that combines classroom instruction with real-world work experience using Amazon Web Services (AWS) technologies. These programs are designed to help students and professionals gain hands-on cloud computing skills by working on projects, internships, or apprenticeships in partnership with employers. Participants learn about cloud infrastructure, deployment, and AWS services, making them more competitive in the job market. Such programs often include mentorship, industry certifications, and exposure to real business challenges.

How does participating in an AWS work based learning program help prepare candidates for a cloud-focused career?

Participating in an AWS Work-Based Learning Program offers hands-on experience with key AWS cloud services, allowing candidates to apply classroom concepts to real-world projects. You'll typically collaborate with mentors and teammates in a structured environment, working on tasks such as cloud migration, automation, and security configuration. This immersion helps build both technical and professional skills, making you more competitive for roles such as cloud support associate or solutions architect. Additionally, exposure to industry best practices and networking opportunities within the program can significantly accelerate your career growth in cloud computing.

What are the key skills and qualifications needed to thrive in a work based learning program focused on AWS, and why are they important?

To thrive in a Work-Based Learning Program focused on AWS, you need foundational knowledge of cloud computing concepts, basic programming skills, and familiarity with networking, supported by relevant coursework or entry-level certifications like AWS Cloud Practitioner. Hands-on experience with AWS tools such as EC2, S3, Lambda, and the AWS Management Console is typically required, along with understanding of version control systems like Git. Strong problem-solving abilities, willingness to learn, and effective communication are important soft skills for adapting to real-world technical environments. These skills and qualities are crucial for successfully applying cloud concepts in practical settings and collaborating with teams to solve business challenges.

What is the difference between Work Based Learning Program Aws vs Cloud Support Associate?

AspectWork Based Learning Program AwsCloud Support Associate
CredentialsTypically no formal certifications required; focus on trainingOften requires AWS certifications or related cloud credentials
Work EnvironmentEducational or training setting, often part-time or internshipProfessional cloud support environment, full-time role
Employer & Industry UsageEducational institutions, training providers, AWS programsCloud service providers, IT companies, AWS partners

The Work Based Learning Program Aws is primarily a training or internship opportunity designed to develop skills in AWS cloud services, often without requiring prior certifications. In contrast, a Cloud Support Associate is a full-time professional role that typically requires AWS certifications and involves supporting cloud customers in a real-world environment. While the learning program focuses on education and skill development, the associate role emphasizes practical support and troubleshooting in the industry.

What job categories do people searching Work Based Learning Program Aws jobs in Elizabeth, NJ look for?

The top searched job categories for Work Based Learning Program Aws jobs in Elizabeth, NJ are:

What cities near Elizabeth, NJ are hiring for Work Based Learning Program Aws jobs?

Cities near Elizabeth, NJ with the most Work Based Learning Program Aws job openings:

Work Based Learning Program Aws jobs near you
Infographic showing various Work Based Learning Program Aws job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $81,891 per year, or $39.4 per hour.

Capability Leader - AI & Digital

Marsh & McLennan Companies, Inc.

New York, NY • On-site

Full-time

Posted 9 days ago

Job description

Company:
Marsh
Description:
We are seeking a talented individual to join our Global Learning team at Marsh. This role will be based in New York, hybrid and requires working at least three days a week in the office
As Marsh's AI Learning & Enablement Lead, you will be the enterprise's trusted strategist and subject matter expert driving education and workforce development in artificial intelligence and enabling skills. You will lead the design, implementation, and measurement of AI learning initiatives that empower our people and accelerate business outcomes. This role requires strong cross-functional influence without formal authority, deep expertise in learning and development, and a performance-driven mindset to deliver measurable impact through AI enablement. This role reports to the Global Learning Leader and is part of the Careers Center of Excellence within our People Experience function of People Function team.
We will count on you to:
  • Lead the development and execution of Marsh's enterprise-wide AI learning strategy, identifying opportunities to embed AI skills across all business functions.
  • Champion AI literacy and adoption by creating comprehensive training, awareness, and skill-building programs.
  • Partner closely with senior leaders and cross-functional teams to align AI learning initiatives with Marsh's strategic priorities.
  • Foster a culture of continuous learning and innovation, driving engagement through targeted campaigns and integrated learning experiences.
  • Embed learning into the flow of work, ensuring AI skills development is practical, timely, and relevant.
  • Develop persona-based, human-centered learning approaches tailored to diverse roles and levels.
  • Build scalable, high-quality training content and experiences that equip employees with critical AI skills.
  • Equip leaders to confidently guide their teams in the AI era-helping them set direction, encourage experimentation, clarify where judgment matters, and create a safe space for learning and growth.
  • Collaborate with key stakeholders to ensure learning initiatives meet enterprise needs and drive skill adoption.
  • Cultivate strategic relationships with functional training leads and key partners across People Function, Operations and Technology, and beyond.
  • Ensure all learning programs comply with relevant standards and organizational policies.
  • Define and track analytics to measure program adoption, ROI, and business impact in partnership with our analytics and impact team.
  • Use data insights to continuously improve learning initiatives and demonstrate value to leadership.
  • Report progress and outcomes to stakeholders at all levels, including executives.
  • Inspire and engage the Marsh community with creative approaches that promote AI learning and behavior change.
  • Act as a marketer and community builder-driving adoption, collaboration, and peer learning through the AI Learning Network.
  • Support a vibrant learning ecosystem that fuels innovation and knowledge sharing.

What you need to have:
  • 8-12+ years of progressive experience in learning and development, program management, or related roles.
  • Proven success leading enterprise-wide learning initiatives, ideally with a focus on AI or emerging technologies.
  • Strong business acumen and a pragmatic approach to building capabilities efficiently.
  • Hands-on experience in product management, UX/design, or software engineering - ideally building AI/ML-enabled products, platforms, or tooling - demonstrating the ability to partner with technical teams and translate product/engineering constraints into practical, scalable learning and enablement solutions.

Who You Are:
  • A collaborative leader with a track record of managing large, complex learning programs and driving change without direct authority.
  • A strategic thinker who connects emerging technologies to real business outcomes and workforce capabilities.
  • A continuous learner passionate about staying ahead in a fast-evolving AI landscape.
  • An empathetic leader who understands the importance of culture, adaptability, and results.
  • Experienced in adult learning principles, instructional design, and compliance standards.
  • A skilled communicator and influencer who can translate complex AI concepts for diverse audiences.
  • Comfortable working under pressure with a bias for action and delivering measurable results.

Why join our team:
  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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