As part of the AI Engineering team within the Digital Assurance & Technology team, you will lead the design and delivery of AI and machine learning solutions that transform data into actionable insights and support client decision-making within our Assurance practice. You will establish portfolio-wide direction and quality expectations for testing and evaluation of AI-enabled systems, technical evidence, and control effectiveness, and sponsor reusable capabilities that support responsible, reliable AI deployment across client engagements. As a Director you will set strategic direction, guide business development, oversee multiple workstreams, and shape client relationships while mentoring leaders and encouraging thoughtful use of new ideas, technology, and practical problem solving. In this role at PwC, you will combine data engineering, AI model development, software implementation, and stakeholder communication to help design scalable solutions, validate technical approaches, and support delivery across complex client environments.
Responsibilities
- Translating business goals into AI and data engineering solutions for client engagements
- Leading the design and deployment of machine learning models, data pipelines, and scalable AI platforms
- Setting portfolio-wide evaluation strategy and quality standards for AI-system behavior, performance, robustness, bias, explainability, and failure modes
- Establishing review standards for technical controls and evidence, confirming that findings, limitations, and recommendations are clear and defensible
- Sponsoring reusable evaluation tools, automated testing, reference datasets, monitoring capabilities, and evidence workflows across engagements
- Guiding data wrangling, feature development, model training, and performance tuning across multiple use cases
- Evaluating data quality, model outputs, and platform integration points to support reliable solution delivery
- Advising clients on AI strategy, use case prioritization, and technology choices aligned to business needs
- Developing new ideas and technical approaches that advance AI capability across teams and engagements
- Coaching practitioners on AI implementation methods, analytical problem solving, and modern development practices
- Identifying opportunities to expand AI offerings and strengthen client relationships through credible delivery
- Adhering to firm technical standards, independence requirements, and professional conduct expectations
What You Must Have
- At least a Bachelor's degree
- At least 8 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- Demonstrating director-level AI and data strategy across client engagements
- Establishing rigorous AI evaluation standards covering failure modes, bias, drift, hallucinations, explainability, and guardrails
- Setting enterprise architecture trade-offs and portfolio-level methods to measure and communicate technical and business outcomes
- Leading business growth through emerging technology solution development
- Developing thought leadership and executive-level client relationships
- Translating complex data concepts into business-focused recommendations
- Navigating ambiguity while guiding multi-disciplinary delivery teams
The salary range for this position is: $134,000 - $348,500. For residents of Washington state the salary range for this position is: $134,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Skills Required
- Bachelor's degree or higher
- At least 8 years of professional experience
- Experience in analytics or data science, artificial intelligence or robotics, computer science or information systems, or engineering
- Director-level AI and data strategy experience across client engagements
- Experience establishing AI evaluation standards for failure modes, bias, drift, hallucinations, explainability, and guardrails
- Experience with enterprise architecture trade-offs and portfolio-level measurement of technical and business outcomes
- Experience developing emerging-technology solutions and supporting business growth
- Experience developing thought leadership and executive-level client relationships
- Ability to translate complex data concepts into business recommendations
- Ability to guide multidisciplinary delivery teams through ambiguity
PwC Compensation & Benefits Highlights
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Retirement Support — Feedback suggests employer-funded retirement contributions alongside a 401(k) match and the Wealth Builder program are notable strengths. Vesting is graded, but the presence of both firm-funded and matching elements enhances long-term financial support.
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Parental & Family Support — Feedback suggests 12 weeks of parental leave for all parents, phased return-to-work, and family-forming support (adoption, surrogacy, fertility) stand out. Back-up childcare and eldercare resources add tangible day-to-day utility for caregivers.
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Healthcare Strength — Feedback suggests multiple medical plan options with mental-health resources and wellness programs provide breadth. Access to counseling platforms and specialized care programs enhances overall wellbeing coverage.
PwC Insights
What We Do
Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.
Why Work With Us
At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.
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