Job Description

Locations

• CINCINNATI GENERAL OFFICES

Skills Required

• programming languages such as Pythonintermediate
• specific language is not requiredintermediate
• data visualization toolsintermediate
• cloud platforms such as Microsoft Azureintermediate

Required Qualifications

• You are graduating in the Spring or Summer of 2027 with a Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Applied Math, Statistics, Analytics or like degree. (degree in the spring or summer of 2027 with a bachelor)
• Strong analytical and problem-solving skills with experience in programming languages such as Python, SQL, R, or similar (Experience in a specific language is not required; you will be expected to learn new languages). (experience)
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and understanding of data management practices. (experience)
• Ability to communicate technical concepts to both technical and non-technical colleagues effectively. . (experience)
• You are graduating in the Spring or Summer of 2027 with a Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Applied Math, Statistics, Analytics or like degree. (degree in the spring or summer of 2027 with a bachelor)
• Strong analytical and problem-solving skills with experience in programming languages such as Python, SQL, R, or similar (Experience in a specific language is not required; you will be expected to learn new languages). (experience)
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and understanding of data management practices. (experience)
• Ability to communicate technical concepts to both technical and non-technical colleagues effectively. . (experience)

Preferred Qualifications

• A history of solving complex problems with innovative solutions. (experience)
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform. (experience)
• Understanding of data governance and data quality best practices. (experience)
• Relevant experience or coursework in data analysis, data management, or related fields. (experience)
• A history of solving complex problems with innovative solutions. (experience)
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform. (experience)
• Understanding of data governance and data quality best practices. (experience)
• Relevant experience or coursework in data analysis, data management, or related fields. (experience)
• Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process. (experience)
• At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise. (experience)
• Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE. (experience)
• Procter & Gamble participates in E-Verify. (experience)
• Qualified individuals will not be disadvantaged based on being unemployed. (experience)

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 that support both functional and non-functional business requirements, while partnering 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 in alignment with P&G IT policies. 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: Leading 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 the continuous improvement of data governance practices. Oversees 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.
• Data Asset Manager: Leading 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 the continuous improvement of data governance practices. Oversees 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.

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