ZipRecruiter

Log In

1

Ai Strategy Jobs in California (NOW HIRING)

Pacvue

VP, AI Strategy & Delivery

Los Angeles, CA · On-site

Pacvue is seeking a VP, AI Strategy & Delivery to lead our AI strategy and execution across AI Labs, Pacvue Agent and Machine Learning. The role spans our entire AI remit, requiring a leader to ...

Brex

Manager, CX AI Strategy

San Francisco, CA · Hybrid

What you'll do Brex is looking for an experienced AI operator & leader to own the strategy and execution of AI-powered customer experience. You'll lead the team responsible for Brex's AI customer ...

Brex

Manager, CX AI Strategy

San Francisco, CA · On-site

What you'll do Brex is looking for an experienced AI operator & leader to own the strategy and execution of AI-powered customer experience. You'll lead the team responsible for Brex's AI customer ...

Pwc

Commercial AI Strategy Director

Los Angeles, CA · On-site

$122K - $504K/yr

Industry/Sector Not Applicable Specialism IFS - Clients & Markets Management Level Director & Summary The Opportunity As a Commercial AI Strategy Director, you will lead the charge in developing ...

previous pagenext page

Showing results 21-40

All JobsAi Strategy JobsAi Strategy Jobs in California

Ai Strategy information

See California salary details

$54.8K

$123K

$214.7K

How much do ai strategy jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai strategy in California is $123,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $155,400.00 per year, depending on experience, location, and employer.

What is an AI strategy?

An AI Strategy job focuses on developing and implementing plans to leverage artificial intelligence for business growth and efficiency. Professionals in this role assess AI opportunities, align AI initiatives with company objectives, and ensure ethical and scalable deployment. They collaborate with technical teams, executives, and stakeholders to drive AI adoption while managing risks and compliance.

What are the key skills and qualifications needed to thrive in an AI strategy role?

To thrive in an AI Strategy role, you need a strong background in artificial intelligence, business analysis, and strategic planning, often supported by degrees in computer science, engineering, or business and experience with AI-driven project management. Familiarity with machine learning frameworks, data analytics platforms, and certifications such as Certified AI Professional (CAIP) or related business strategy credentials are highly beneficial. Excellent leadership, communication, and stakeholder management skills set successful professionals apart in this field. These competencies enable you to align AI technologies with business objectives, effectively drive innovation, and manage cross-functional teams for successful AI adoption.

What are some common challenges faced in an AI strategy role, and how can professionals overcome them?

Professionals in AI Strategy roles often encounter challenges such as aligning AI initiatives with overall business objectives, managing data quality and accessibility, and addressing concerns around change management and adoption. Successfully overcoming these hurdles requires continuous collaboration with technical teams, business leaders, and stakeholders to ensure everyone understands the value and limitations of AI solutions. A proactive approach to education and communication, as well as staying current with AI trends and ethical considerations, helps address resistance to change and fosters buy-in. Building a multidisciplinary team and implementing robust project management methodologies can also facilitate smoother execution of AI strategies.

How to get a job in AI strategy?

To pursue a career in AI strategy, develop strong skills in artificial intelligence, data analysis, and business strategy, often through a degree in computer science, data science, or related fields. Gaining experience with AI tools, machine learning frameworks, and strategic planning is essential, along with certifications such as those from Coursera or edX. Building a portfolio of projects and networking within the AI community can also improve job prospects in this field.

What does an AI strategy do?

An AI strategy involves developing a plan to effectively implement artificial intelligence technologies within an organization to achieve specific goals. It includes identifying use cases, selecting appropriate tools, and aligning AI initiatives with business objectives to improve efficiency, innovation, or competitive advantage.

What are the most commonly searched types of Ai Strategy jobs in California?

The most popular types of Ai Strategy jobs in California are:

What are popular job titles related to Ai Strategy jobs in California?

For Ai Strategy jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Strategy jobs in California look for?

The top searched job categories for Ai Strategy jobs in California are:

What cities in California are hiring for Ai Strategy jobs?

Cities in California with the most Ai Strategy job openings:

Ai Strategy jobs near you
Infographic showing various Ai Strategy job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $123,026 per year, or $59.1 per hour.

Director of AI Strategy & Enablement

Webcor

San Francisco, CA • On-site

Full-time

Posted 28 days ago

Job description

The Director of AI Strategy & Enablement leads the development and execution of the company's enterprise AI strategy, governance framework, and adoption initiatives. Serving as a bridge between business and technology, this role ensures AI investments are aligned with organizational goals, governed appropriately, and deliver measurable business outcomes. The Director is responsible for establishing AI policies and standards, guiding responsible AI practices, identifying and prioritizing business use cases, driving enterprise adoption, and overseeing the realization of value from AI-enabled solutions across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
AI Strategy & Roadmap
  • Develops and maintains the enterprise AI strategy aligned with business objectives and corporate priorities.
  • Establishes a multi-year AI roadmap that identifies opportunities to improve operational efficiency, project delivery, workforce productivity, safety, and business performance.
  • Partners with executive leadership to prioritize AI investments and initiatives based on strategic value and risk.
  • Monitors emerging AI technologies, trends, and regulations and assess their applicability to the business.

AI Governance & Responsible AI
  • Develops and maintains AI governance policies, standards, and operating procedures.
  • Establishes processes for evaluating, approving, monitoring, and managing AI solutions and use cases.
  • Leads the AI Governance Council and facilitates cross-functional decision-making.
  • Ensures AI initiatives align with legal, compliance, privacy, cybersecurity, and data governance requirements.
  • Develops frameworks for responsible AI, including transparency, accountability, human oversight, bias mitigation, and risk management.

Data Governance Alignment
  • Partners with data owners and data stewards to improve data quality, ownership, accessibility, and reliability.
  • Ensures AI initiatives are supported by trusted and governed enterprise data.
  • Aligns AI governance practices with enterprise data governance standards.

Enterprise AI Adoption & Enablement
  • Leads enterprise-wide AI adoption initiatives to increase employee productivity and business value realization.
  • Develops adoption strategies for tools such as Microsoft Copilot and other approved AI platforms.
  • Identifies barriers to adoption and implement change management strategies to address them.
  • Partners with business leaders to identify, prioritize, and advance AI use cases.
  • Establishes metrics to measure AI adoption, engagement, and business outcomes.

AI Use Case Portfolio Management
  • Maintains a prioritized pipeline of AI opportunities.
  • Evaluates business cases and expected value.
  • Coordinates project delivery across business units.

AI Literacy & Workforce Development
  • Develops and executes AI education and awareness programs for employees at all levels.
  • Creates role-based AI learning paths for executives, managers, and individual contributors.
  • Fosters a culture of responsible experimentation and innovation.
  • Establishes an AI Champions network to promote adoption and knowledge sharing across departments.

Executive Communication
  • Advises executive leadership on emerging AI trends, risks, and opportunities.
  • Develops executive briefings and board-level updates.
  • Leads AI strategy workshops and planning sessions.

TECHNICAL SKILLS AND KNOWLEDGE REQUIRED
  • Strong understanding of Generative AI, Large Language Models (LLMs), and modern AI capabilities and limitations.
  • Familiarity with prompt engineering concepts and best practices.
  • Advanced knowledge of construction operations, including scheduling, estimating, project management and safety workflows and protocols.
  • Basic knowledge of construction data schemas and common industry platforms such as Autodesk Construction Cloud, Revit, CMiC, Box, Oracle P6 and Workday is preferred.
  • Strong project management and organizational skills with the ability to manage multiple initiatives simultaneously.
  • Working knowledge of business intelligence and analytics platforms.
  • Working knowledge of change management and the ability to explain complex technical concepts to non-technical field staff.

REQUIRED EDUCATION AND WORK EXPERIENCE
  • Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, Architecture, or equivalent experience.
  • 5+ years of experience managing complex projects in the AEC (Architecture, Engineering, Construction) industry, including three years as a Project Engineer or equivalent.
  • Minimum of three years of experience supporting digital transformation, VDC, or the deployment of technology initiatives in the field.
  • Experience on sustainable and/or design-build projects is preferred.
  • AI related certifications (Microsoft AI-900, Google, AI Essentials, etc) a plus.

BEHAVIORAL COMPETENCIES REQUIRED
  • Strategic level communication and facilitation skills, including presenting to executive and field audiences, effectively conveying the business value of AI tools.
  • Demonstrates the capacity to articulate thoughts clearly and concisely, specifically when translating complex technical jargon for field audiences.
  • Demonstrated ability to drive adoption in resistant or change-averse environments.
  • Demonstrates an advanced level of customer focus and a remarkable ability to collaborate with diverse stakeholders from trade to Executive Leadership.
  • Strategic level decision quality and use of sound judgement when handling sensitive project data.

PHYSICAL REQUIREMENTS
Performance of the required duties will require physical ability to sit for long periods of time at a desk, generally up to 7 hours per day and regularly working on-site at the construction work site. Repetitive motion using hands with constant keyboarding and physical use of vision to read computer monitors including close vision for coding and data analysis. Regularly required to use hands to operate standard office equipment (personal computer, photocopy machine, etc.). Occasionally required to stoop, kneel, and lift up to 15 pounds. The noise level in the office work environment is usually moderate to loud. The employee regularly works at the construction work site to validate technology implementation, deliver on-site training and demonstrations where the employee will be required to climb permanent and temporary stairs and is exposed to moving mechanical parts and outside weather conditions. The noise on the construction work site is usually moderate to very loud.
This is a general statement of required major duties and responsibilities performed on a regular and continuous basis. It does not exclude other duties as assigned. Webcor is AN EQUAL OPPORTUNITY EMPLOYER. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Range of base pay is $193,000-$220,000. Actual pay is based on individual skill level and experience.
Webcor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Webcor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Apply