Jobs › Companies › PwC › AI Engineer Manager (AC Manila)

About this AI Engineer Manager (AC Manila) role at PwC

PwC · Onsite · Metro Manila

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Manager

Job Description & Summary

The Opportunity
Join our Acceleration Center Manila and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an AI Engineer Manager, you will lead teams in the Data and Analytics group, focusing on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Internal Firm Services practice, you will leverage your growing business knowledge to identify opportunities that contribute to the success of our firm. You will be responsible for coaching, developing, and inspiring team members to deliver quality work that meets client expectations.

As a Manager, you will enhance your leadership style by motivating and mentoring junior staff, while taking ownership of projects to validate their successful planning, budgeting, execution, and completion. You will play a visible role in cultivating meaningful client relationships and navigating ambiguity, all while upholding PwC’s quality standards and contributing to the firm's purpose and values. In this role at PwC Acceleration Center Manila, you will embrace technology and innovation to enhance your delivery and encourage others to do the same, fostering a culture of continuous improvement and innovation.

Responsibilities
- Leading data analysis initiatives to extract insights and drive data-driven decision-making
- Utilizing advanced analytical techniques to optimize client operations and achieve strategic goals
- Managing complex data sets to support clients in solving business problems
- Developing and implementing data visualization and statistical modeling solutions
- Overseeing data integrity and security within analytics frameworks
- Coaching and mentoring team members to enhance their skills and performance
- Collaborating with team leadership to maintain quality and meet client expectations
- Identifying opportunities for innovation and improvement in data analytics processes
- Conducting exploratory data analysis to uncover trends and inform strategic decisions
- Building and maintaining relationships with clients to understand and address their data needs

What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
- Oral and written proficiency in English required

What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: A Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing machine learning techniques for predictive analytics
- Managing complex data integration and data quality improvement plans
- Excelling in coaching and mentoring team members
- Leading projects with strategic planning and execution skills

Travel Requirements

0%

Job Posting End Date

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About PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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