Director of AI Strategy & Delivery

PwC; Los Angeles (CA); On-site; USD 134,000 - 349,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Paid time off

Job summary

PwC is seeking a Director to lead AI and data engineering initiatives within the AI Engineering team of the Digital Assurance & Technology practice. You will set strategic direction, guide business development, oversee multiple workstreams, and mentor leaders while fostering responsible, scalable AI deployment across client engagements.

You will combine data engineering, AI model development, software implementation, and stakeholder communication to design and validate scalable AI solutions for

Qualifications

• Bachelor's degree required.
• At least 8 years of experience in AI/engineering leadership roles.

Responsibilities

• Translate business goals into AI and data engineering solutions for client engagements.
• Lead the design and deployment of machine learning models, data pipelines, and scalable AI platforms.
• Set portfolio-wide evaluation strategy and quality standards for AI-system behavior, performance, robustness, bias, explainability, and failure modes.
• Establish review standards for technical controls and evidence, ensuring findings are clear and defensible.
• Sponsor reusable evaluation tools, automated testing, datasets, monitoring capabilities, and evidence workflows across engagements.
• Guide data wrangling, feature development, model training, and performance tuning across multiple use cases.
• Evaluate data quality, model outputs, and platform integration points to support reliable delivery.
• Advise clients on AI strategy, use case prioritization, and technology choices.

Skills

Leadership

Data engineering

AI model development

Stakeholder communication

Education

Bachelor's degree

Job description

PwC is seeking a Director to lead AI and data engineering initiatives within the AI Engineering team of the Digital Assurance & Technology practice. You will set strategic direction, guide business development, oversee multiple workstreams, and mentor leaders while fostering responsible, scalable AI deployment across client engagements.

You will combine data engineering, AI model development, software implementation, and stakeholder communication to design and validate scalable AI solutions for