Data & AI Engineering (2027 Grads)

Job Location: Cincinnati General Offices

About the role

Procter & Gamble is seeking 2027 graduates for various roles within the data and analytics domain, including Data Engineers, Data Asset Managers, and AI Engineers. You will apply innovative technologies to solve complex business problems and contribute to data-driven decision-making. Responsibilities may include analyzing large datasets, providing actionable insights, managing data assets, engineering robust data pipelines, and supporting analytical models.

Responsibilities

• Data Engineer:
  • Design, build, and maintain cloud-based data and analytics platforms and data pipelines that acquire, cleanse, transform, and publish data from a wide range of sources.
  • Develop large, complex datasets supporting both functional and non-functional business requirements.
  • Partner with data asset managers, architects, and development leads to deliver high-quality, fit-for-purpose data solutions aligned with enterprise architecture standards.
  • Contribute to and apply coding standards and best practices to create efficient, scalable, and reusable services and components.
  • Design and implement process improvements that enhance operational efficiency, data quality, and overall platform performance.
• AI Engineer:
  • Drive proof-of-concept development and experimental initiatives to evaluate emerging technologies, advanced models, and innovative solutions.
  • Engineer high-quality, standards-compliant, and rigorously tested software while contributing reusable code, frameworks, and tools to shared repositories, enterprise libraries, and open-source projects.
  • Design, develop, and optimize data models, feature engineering capabilities, data quality assurance processes, ETL/ELT pipelines, and scalable distributed computing architectures.
  • Deploy, monitor, and enhance algorithmic solutions across cloud platforms, leveraging cloud-native services to ensure reliability, scalability, efficiency, and business impact.
• Data Asset Manager:
  • Lead data governance activities aligned with the organization’s data strategy within assigned areas of accountability.
  • Serve as trusted advisors to business partners, influencing strategic decisions and driving continuous improvement of data governance practices.
  • Oversee critical data management functions such as data quality, data operations, storage, reference and master data, data standards, security, vendor governance, and metadata management to ensure data is accurate, secure, accessible, and fit for business use.

Requirements

• Graduating in Spring or Summer 2027 with a Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Applied Math, Statistics, Analytics, or a related field.
• Strong analytical and problem-solving skills with experience in programming languages such as Python, SQL, R, or similar.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and understanding of data management practices.
• Ability to communicate technical concepts effectively to both technical and non-technical colleagues.

Qualifications

• Preferred: A history of solving complex problems with innovative solutions.
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform.
• Understanding of data governance and data quality best practices.
• Relevant experience or coursework in data analysis, data management, or related fields.

Pay

Starting salary range: $85,000.00 - $115,000.00 per year.

Schedule

Full time