Data Asset Manager - Band 1
About The Position
Do you enjoy unlocking the value from data and establishing and operating governance processes? At P&G, we are committed to transforming our organization into a data-driven powerhouse. We believe in unlocking the full potential of data to drive business decisions and enhance operational efficiency. Join one of the most advanced Data & Analytics teams in the industry and help us operationalize our expansive data sharing and analytics capabilities. As a Data Asset Manager, you will play a crucial role in managing and optimizing data quality and availability throughout the data supply chain. You will implement governance processes for various data inputs to ensure that we make informed business decisions based on high-quality data. Collaborating with upstream data providers and downstream data users, including the Business Units Data Governance Council, you will ensure that our data management practices align with business objectives.
Requirements
- Bachelor’s degree or higher in Management Information Systems, Engineering, Computer Science, or a related technical field.
- 2+ years of experience in Data Governance/Data Management, particularly concerning Data Quality.
- Strong business analysis skills and foundational knowledge of IT systems development.
- Proven leadership and communication skills for internal and external engagement.
Nice To Haves
- Certifications in DAMA, TOGAF, or TDWI.
- Experience with Agile, Scrum, or DevOps methodologies.
- Familiarity with retail store and/or merchandising data.
Responsibilities
- Data Governance & Quality: Oversee data changes and establish standards for data quality, security, and stewardship, ensuring compliance with business needs and governance rules.
- Data Asset Management: Set up and manage data pipelines, including metadata, business glossaries, and access management. Translate data strategies into actionable plans, leveraging Data Management Maturity frameworks.
- Data Publication & Activation: Implement best practices for data publication in our Core Data Lake, and advocate for delivering business value through effective data management.
- Collaboration & Engagement: Work with development teams on ETL processes, engage with vendors to integrate governance practices into contracts, and assess data sufficiency for business objectives.
- Continuous Improvement: Assess and enhance the maturity of data management processes, driving initiatives based on evaluation results.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
