Leads AI and machine learning solution design, deployment, evaluation, and data engineering across client engagements. Establishes portfolio-wide standards for AI quality, robustness, bias, explainability, monitoring, and technical evidence. Advises clients on AI strategy, coaches multidisciplinary teams, sponsors reusable evaluation capabilities, guides business development, and builds executive client relationships while directing multiple workstreams.
The Opportunity
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.
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.
PwC New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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