ZipRecruiter

Log In

1

Senior Manager Artificial Intelligence Jobs in Riverside, CA

Jobtailor

Business Intelligence Analyst

Jurupa Valley, CA · On-site

$110 - $150/hr

Strong working knowledge of Artificial Intelligence solutions, tools and development * Proficiency ... Excellent project management, analytical, problem-solving, and communication skills Core ...

Pwc

CTIO - AI Engineer- Senior Manager

Irvine, CA · On-site

$91K - $321K/yr

As a Senior Manager, you will utilize your skills and professional network to deliver quality ... Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ...

Pwc

Senior Manager, Solution Architect

Irvine, CA · On-site

We bring the latest thinking in Artificial Intelligence to every engagement. We challenge clients ... As a Senior Manager in our Digital Integration & Architecture practice, you'll be an enterprise ...

next page

Showing results 1-20

All JobsArtificial Intelligence JobsSenior Manager Artificial Intelligence JobsSenior Manager Artificial Intelligence Jobs in Riverside, CA

Senior Manager Artificial Intelligence information

See Riverside, CA salary details

$29.7K

$101.3K

$190.4K

How much do senior manager artificial intelligence jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior manager artificial intelligence in Riverside, CA is $101,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $142,400.00 per year, depending on experience, location, and employer.

What does a senior manager artificial intelligence do?

A Senior Manager of Artificial Intelligence oversees the strategy, development, and deployment of AI-driven solutions within an organization. They lead teams of data scientists, machine learning engineers, and AI specialists to deliver projects that solve business problems using AI technologies. Additionally, they collaborate with other departments to identify opportunities for AI, ensure ethical AI practices, and manage project timelines and budgets. Their role is crucial in aligning AI initiatives with the company’s overall goals and ensuring the successful adoption of AI solutions.

What are the key skills and qualifications needed to thrive as a senior manager artificial intelligence?

To thrive as a Senior Manager Artificial Intelligence, you need a strong background in computer science, AI/ML algorithms, and leadership, often supported by an advanced degree and relevant industry experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and project management tools is typically required, along with certifications in AI or data science. Outstanding communication, strategic thinking, and team leadership abilities help drive innovation and foster cross-functional collaboration. These skills and qualities are essential for successfully leading AI initiatives that align with business objectives and deliver measurable value.

How does a senior manager artificial intelligence typically balance technical leadership with team management responsibilities?

A Senior Manager of Artificial Intelligence often divides their time between providing strategic technical guidance and overseeing the professional development of their team. They are expected to set the vision for AI projects, review technical designs, and ensure alignment with business objectives, while also mentoring team members, managing project timelines, and facilitating collaboration across departments. Balancing these responsibilities requires strong communication skills and the ability to prioritize tasks effectively. Additionally, they frequently interact with stakeholders to translate complex AI concepts into actionable business strategies.

What is the difference between Senior Manager Artificial Intelligence vs Data Scientist?

AspectSenior Manager Artificial IntelligenceData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentLeads AI teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports insights
Employer & Industry UsageTech companies, large enterprises implementing AI strategiesVarious industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in AITechnical data analysis and modeling

The Senior Manager Artificial Intelligence typically oversees AI projects, manages teams, and aligns AI strategies with business goals. Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require strong technical skills, the Senior Manager role emphasizes leadership and strategic planning, whereas Data Scientists are more hands-on with data analysis and modeling.

What are popular job titles related to Senior Manager Artificial Intelligence jobs in Riverside, CA?

For Senior Manager Artificial Intelligence jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Senior Manager Artificial Intelligence jobs in Riverside, CA look for?

The top searched job categories for Senior Manager Artificial Intelligence jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Senior Manager Artificial Intelligence jobs?

Cities near Riverside, CA with the most Senior Manager Artificial Intelligence job openings:

Senior Manager Artificial Intelligence jobs near you

Sr. Director, Enterprise Artificial Intelligence

International Executive Service Corps

Lake Forest, CA • On-site

$200 - $300/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

MAIN JOB RESPONSIBILITIES / COMPETENCIES

The Director, Enterprise Artificial Intelligence is responsible for leading the Company's enterprise Artificial Intelligence (AI) strategy and driving business transformation through the adoption of AI-enabled capabilities across the organization. This role partners closely with Executive Leadership, Manufacturing, Supply Chain, Engineering, Quality Assurance, Regulatory Affairs, Commercial Operations, Finance, Human Resources, Cybersecurity, Infrastructure, and Information Technology to identify, prioritize, and implement Artificial Intelligence solutions that improve operational efficiency, decision making, customer experience, innovation, and long-term competitive advantage.

This position provides strategic leadership for enterprise AI governance, Responsible AI, Generative AI, Agentic AI, Machine Learning, Intelligent Automation, and enterprise knowledge management while ensuring AI initiatives deliver measurable business value, align with corporate objectives, and support secure, scalable, and sustainable business transformation.

  • 1.Lead and execute the Company's enterprise Artificial Intelligence strategy aligned with corporate objectives, digital transformation initiatives, and measurable business outcomes.
  • 2.Establish and operationalize an Enterprise AI Center of Excellence (AI CoE) responsible for governance, standards, reusable AI capabilities, and enterprise adoption.
  • 3.Drive enterprise business transformation through the application of Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
  • 4.Partner with executive leadership and business stakeholders to identify and prioritize AI initiatives that improve operational efficiency, product quality, customer experience, revenue growth, and employee productivity.
  • 5.Develop enterprise AI roadmaps, investment strategies, business cases, and value realization plans.
  • 6.Establish Responsible AI governance, AI policies, model lifecycle management, and AI risk management practices.
  • 7.Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management.
  • 8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise data platforms, and cloud-native applications.
  • 9.Establish KPIs and executive dashboards measuring AI adoption and business value.
  • 10.Lead organizational change management and enterprise AI adoption.
  • 11.Recruit and mentor a team of AI/Business Engineers, Data Engineer/architects and AI Product Owner.
  • 12.Evaluate emerging AI technologies and strategic technology partnerships.
  • 13.Foster innovation, continuous improvement, and responsible AI adoption.
  • 14.Other duties as assigned.
REQUIREMENTS EDUCATION & TRAINING
  • Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, Business Administration, or related discipline required or equivalent combination of education/experience.
  • Advanced degree preferred.
  • Professional certifications in AI, Cloud Computing, Enterprise Architecture, Cybersecurity, Project Management, or Data Analytics are highly desirable.
EXPERIENCE
  • 12+ years of progressive leadership experience in enterprise technology, digital transformation, Artificial Intelligence, data analytics, enterprise architecture, software engineering, or related disciplines.
  • 3+ years leading enterprise digital AI transformation organizations.
  • Demonstrated success developing enterprise AI strategies delivering measurable business transformation.
  • Experience with Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Predictive Analytics, and Intelligent Automation.
  • Experience in integrating AI with ERP, CRM, Supply Chain, Manufacturing, Finance, HR, and enterprise platforms.
  • Experience presenting AI strategies and business outcomes to executive leadership and Boards.
  • Enterprise AI governance, organizational change management, and global business transformation.
  • FDA-regulated medical devices, biotechnology, pharmaceutical, life sciences, or other regulated industries preferred.
SKILLS
  • Strong knowledge of enterprise Artificial Intelligence strategy, governance, operating models, enterprise architecture, and business transformation methodologies, including the development of AI roadmaps, investment strategies, Centers of Excellence, and enterprise adoption frameworks.
  • Deep understanding of Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, semantic search, vector databases, AI assistants, autonomous agents, and intelligent automation technologies.
  • Strong understanding of Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, AI model lifecycle management, model evaluation, MLOps, LLMOps, and enterprise AI platform operations.
  • Strong knowledge of enterprise cloud platforms including Oracle Cloud Infrastructure (OCI), Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), cloud-native architectures, APIs, microservices, enterprise integration, event-driven architectures, and hybrid cloud environments.
  • Deep understanding of enterprise data architecture, data governance, master data management, metadata management, data quality, knowledge management, vector storage, and enterprise information management principles supporting AI-enabled decision making.
  • Strong understanding of Responsible AI principles, AI governance, cybersecurity, privacy, regulatory compliance, intellectual property protection, model transparency, explainability, AI ethics, enterprise risk management, and secure AI deployment practices.
  • Demonstrated ability to align Artificial Intelligence investments with corporate strategy by developing business cases, value realization frameworks, key performance indicators (KPIs), executive dashboards, and measurable financial and operational outcomes.
  • Ability to partner effectively with Executive Leadership, Information Technology, Manufacturing, Engineering, Supply Chain, Quality Assurance, Regulatory Affairs, Finance, Human Resources, Cybersecurity, Legal, and external technology partners to deliver enterprise-wide AI capabilities.
  • Excellent analytical, strategic planning, organizational, communication, executive presentation, negotiation, financial management, vendor management, stakeholder engagement, and organizational change management skills.
  • Demonstrated leadership building, mentoring, and scaling high-performing multidisciplinary teams consisting of AI Engineers, Data Scientists, Machine Learning Engineers, AI Solution Architects, Enterprise Architects, Product Managers, and business technology professionals.
  • Proven ability to lead enterprise modernization initiatives, drive innovation, establish AI governance, manage organizational change, and deliver measurable business transformation while maintaining secure, scalable, and responsible AI practices.

Pay range: $200K - $300K - Final compensation/salary will depend on experience.

STAAR Surgical is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other characteristic protected by law #USA

#J-18808-Ljbffr

Apply