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Learning Execution Manager Jobs in California (NOW HIRING)

Lead and develop a small L&D team, holding a high bar for execution, providing clear direction and ... Partner on the evolution of our learning management system and broader learning delivery ...

Lead and develop a small L&D team, holding a high bar for execution, providing clear direction and ... Partner on the evolution of our learning management system and broader learning delivery ...

Lead and develop a small L&D team, holding a high bar for execution, providing clear direction and ... Partner on the evolution of our learning management system and broader learning delivery ...

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From practice management to imaging to revenue cycle automation, we're tearing down the old ... Monitor and support team execution of remote and onsite training sessions. * Maintain visibility ...

Supervisor, Learning and Adoption

Irvine, CA · On-site +1

$84K - $105K/yr

From practice management to imaging to revenue cycle automation, we're tearing down the old ... Monitor and support team execution of remote and onsite training sessions. * Maintain visibility ...

... and drive execution of machine learning and generative AI initiatives that deliver measurable ... Lead and grow a high-performing centralized data science organization, including managing managers ...

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Learning Execution Manager information

What is an L&D manager?

An L&D (Learning and Development) manager is responsible for overseeing employee training programs, developing learning strategies, and ensuring staff acquire necessary skills. They often coordinate with HR and use tools like Learning Management Systems (LMS) to deliver and track training initiatives.

Is being a BDM a stressful job?

Being a Business Development Manager (BDM) can be stressful due to targets, client management, and sales pressure. The role often requires strong communication, negotiation skills, and the ability to handle rejection, which can contribute to stress levels. However, workload and stress vary depending on the industry, company culture, and individual resilience.

What qualifications do I need to work in L&D?

A Learning & Development (L&D) professional typically needs a bachelor's degree in education, human resources, or a related field. Relevant skills include strong communication, instructional design, and familiarity with learning management systems (LMS). Certifications such as CPLP or ATD can enhance qualifications for advanced roles.

What is the difference between Learning Execution Manager vs Learning & Development Specialist?

AspectLearning Execution ManagerLearning & Development Specialist
CredentialsTypically requires a bachelor’s degree in education, HR, or related field; certifications like CPLP or ATD are commonSimilar credentials; often holds a bachelor’s degree and certifications in training or HR
Work EnvironmentLeads training programs, manages teams, and oversees execution across departmentsDesigns and delivers training sessions, focuses on content development and delivery
Employer & Industry UsageUsed in corporate training departments across various industriesCommon in HR and training departments within organizations

The Learning Execution Manager focuses on overseeing and managing the implementation of training programs, often leading teams and coordinating across departments. In contrast, the Learning & Development Specialist primarily designs and delivers training content. Both roles require similar credentials and are integral to corporate learning initiatives, but their responsibilities differ in scope and focus.

What jobs make $1,000,000 a year?

In the context of a Learning Execution Manager, high-earning roles often include executive positions such as Chief Learning Officer or Chief Executive Officer, which can reach or exceed $1 million annually with bonuses and stock options. Other top-tier roles in technology, finance, or consulting firms may also achieve this level of compensation, especially with extensive experience, advanced skills, and leadership responsibilities.
What job categories do people searching Learning Execution Manager jobs in California look for? The top searched job categories for Learning Execution Manager jobs in California are:
What cities in California are hiring for Learning Execution Manager jobs? Cities in California with the most Learning Execution Manager job openings:
Infographic showing various Learning Execution Manager job openings in California as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI/ML Execution Program Manager

Tata Consultancy Service Limited

Santa Clara, CA • On-site

$90K - $120K/yr

Full-time

Posted 21 days ago


Job description

1. We are seeking an experienced AI/ML Execution Program Manager to drive end-to-end execution of AI/ML initiatives across cross-functional teams. This role requires a strong blend of technical expertise in machine learning, data modeling, and dataset engineering, combined with program management excellence to deliver scalable AI solutions.
2. The ideal candidate will bridge the gap between data science, engineering, and business stakeholders, ensuring successful delivery of AI/ML programsfrom problem definition and dataset modeling to model deployment and operationalization
Must Have Technical/Functional Skills:
• Strong analytical and problem-solving skills
• Ability to translate between technical and non-technical stakeholders
• Excellent communication and stakeholder management
• Data-driven decision-making mindset
• Strong ownership and execution focus
Roles & Responsibilities:
1. AI/ML Program Execution
• Lead execution of AI/ML programs and projects from ideation through deployment and monitoring
• Define program scope, milestones, deliverables, timelines, and success metrics
• Drive alignment across data science, UI, API & data engineering, product, and business teams
• Ensure adherence to ML lifecycle best practices (MLOps) including experimentation, model training, validation, and deployment
2. Dataset Modeling & Data Strategy
• Define and oversee dataset modeling strategies to support AI/ML use cases
• Partner with data engineering teams to design:
• Data schemas
• Feature stores
• Data pipelines and transformations
• Ensure datasets are:
• High-quality, labeled, and version-controlled
• Representative and unbiased
• Compliant with governance and privacy standards
Salary Range: $90,000 - $120,000 a year
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