CDO - AI Data Quality Data Scientist - Sr Manager

Data Quality Assurance

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 visualizations 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, recognizing 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