At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
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 escalate. 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.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• 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 Data and Analytics Engineering team you will lead the development and
implementation of AI-driven automation strategies that enhance data management and improve
operational productivity. As a Senior Manager you will serve as a strategic advisor, leveraging
your knowledge to drive results and maintain operational excellence while mentoring
performance-oriented teams to solve complex problems. This role offers the chance to work at
the forefront of AI and data quality, working with diverse stakeholders to promote innovative
solutions and maintain the integrity of enterprise data systems.

Responsibilities

• Streamline data management processes to enhance operational effectiveness
• Serve as a strategic advisor to stakeholders on data quality and integrity
• Mentor and develop top-performing teams to tackle complex challenges
• Maintain adherence to industry standards in enterprise data systems
• Analyze and interpret data trends to inform decision-making
• Drive continuous improvement in data management strategies

What You Must Have

• High School Diploma
• 6 years of experience in progressive roles on data analytics, data management, quality

assurance processes/technology

What Sets You Apart

• Bachelor’s Degree in Computer Science, Data Processing/Analytics/Science, Engineering

preferred

• Demonstrating in-depth abilities in AI-driven automation strategies
• Leading AI and automation teams in scalable model deployment
• Enhancing data quality through AI-powered analytics
• Integrating AI solutions into data ecosystems
• Advocating for software engineering practices in machine learning
• Mentoring team members to foster innovation and accountability
• Managing collaboration across analytics and AI efforts
• Staying current on emerging trends in AI and automation

Learn more about how we work: https://pwc.to/how-we-work
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.
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.
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.
The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual’s skills, experience, qualifications and location, and applicable employment laws. 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-glanc

• Streamline data management processes to enhance operational effectiveness
• Serve as a strategic advisor to stakeholders on data quality and integrity
• Mentor and develop top-performing teams to tackle complex challenges
• Maintain adherence to industry standards in enterprise data systems
• Analyze and interpret data trends to inform decision-making
• Drive continuous improvement in data management strategie