Artificial Intelligence Senior Associate AC Manila

PwC; Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

PwC Manila is seeking a Senior Associate in Artificial Intelligence within the Data and Analytics Engineering practice. You will help design and build data infrastructure, implement data pipelines, and transform raw data into actionable insights to drive client outcomes.

Responsibilities include leveraging Python, SwiftUI, AWS, and Azure Data Factory to deliver scalable data solutions, while managing databases (MySQL, PostgreSQL) and collaborating with global teams.

Qualifications

• Bachelor's degree required and 4–8 years of relevant experience.
• Excellent English written and spoken communication.
• Experience with data engineering and cloud data platforms.

Responsibilities

• Design and implement data infrastructure for efficient processing.
• Develop data pipelines, integration, and transformation for clients.
• Use Python and SwiftUI to build and maintain apps.
• Leverage AWS and Azure Data Factory to scale data architectures.
• Administer MySQL and PostgreSQL databases and optimize queries.
• Analyze data to generate actionable insights for decision making.
• Build client relationships and translate needs into solutions.

Skills

Python

SwiftUI

AWS

Azure Data Factory

MySQL

PostgreSQL

Data pipelines

Data integration

Data transformation

Data architecture

Education

Bachelor's degree

Tools

Python

SwiftUI

AWS

Azure Data Factory

MySQL

PostgreSQL

Job description

Job Description:

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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 Artificial Intelligence Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and managing data pipelines, integration, and transformation solutions to support client needs
• Utilizing programming languages such as Python and SwiftUI to develop and maintain software applications
• Leveraging advanced technologies and techniques to convert raw data into actionable insights for informed decision‑making
• Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data architecture and scalability
• Performing database administration and management using MySQL and PostgreSQL to optimize query performance
• Applying analytical thinking and intellectual curiosity to solve complex data challenges and drive business growth
• Building meaningful client connections and anticipating their needs to deliver quality solutions
• Navigating complex situations and embracing change to foster personal growth and technical skills
• Upholding professional and technical standards while interpreting data to inform insights and recommendations

What You Must Have

• At least a Bachelors degree
• At least 4 to 8 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: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Utilizing Amazon Web Services (AWS) and Azure Data Factory for data solutions
• Demonstrating proficiency in data architecture and integration techniques
• Excelling in analytical thinking and problem‑solving within complex environments
• Embracing change and demonstrating learning agility in dynamic settings
• Applying critical thinking to break down and interpret complex concepts
• Building meaningful client connections and anticipating their needs

Travel Requirements

Not Specified