AI Engineer / Data Scientist, AI Sr. Manager

Specialty/Competency: Assurance

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 20%

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to elevate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Skills

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Audit and Assurance team, you will lead the design and deployment of enterprise AI/ML solutions, setting architecture standards and reusable patterns. As a Senior Manager, you will serve as a strategic advisor, aligning clients and cross‑functional teams on scope, roadmap, metrics, and delivery across workstreams. This role offers the chance to champion Responsible AI governance and mentor future leaders while driving productivity and reliability in AI-assisted development.

Responsibilities

• Lead the design and implementation of enterprise AI and machine learning solutions.
• Establish architecture standards and reusable frameworks for development.
• Collaborate with clients and cross‑functional teams to define project scope and delivery.
• Drive the governance of Responsible AI, maintaining compliance with privacy and security.
• Promote MLOps practices to enhance operational effectiveness and reliability.
• Mentor and develop future leaders within the team.
• Oversee project performance, including resource allocation and budget management.
• Provide timely updates and communication regarding project progress.

What You Must Have

• Bachelor's Degree.
• At least 8 years of professional AI/ML development, engineering, or testing experience.

What Sets You Apart

• Master's Degree in Engineering, Computer Science, Data Processing/Analytics/Science preferred.
• At least 3 years of experience leading teams and delivering complex initiatives as a technical lead, engineering manager, or data science manager.
• Proven track record leading multi‑team programs.
• Managing stakeholders and delivering measurable business outcomes.
• Translating business problems into well-engineered AI solutions.
• Analyzing and building data models and transformation routines.
• Experience with modern LLM applications and proficiency in end‑to‑end development.
• Championing MLOps and AI‑assisted development to improve effectiveness.
• Hiring and mentoring leaders to manage performance.
• Establishing Responsible AI governance.

The salary range for this position is: $119,000 - $299,930. For residents of Washington state the salary range for this position is: $119,000 - $337,000. 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

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:

Learn more about 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.