Senior Manager, Master Data Management

Job Location

CINCINNATI GENERAL OFFICES

Information Technology at Procter & Gamble is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear – we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT expertise to deliver innovative, tech‑focused business models and capabilities for our 65 iconic, trusted brands.

From Day 1, you’ll be trusted to dive right in, take the lead, use your initiative, and build billion‑billion brands that help make everyday activities easier and make the world a better place! Our company offers purposeful work that will take your career places you never envisioned, in creative work spaces where innovation thrives and where your technical expertise is recognized and rewarded.

Our Data Asset Management team is responsible for the efficient organization, storage, and retrieval of our valuable data assets. We play a crucial role in ensuring the integrity, accessibility, and discoverability of our master data, supporting various departments across the organization. We are at the forefront of leveraging technology to streamline our processes and enhance our data management capabilities, ensuring a single source of truth for critical business information.

• Master Data Strategy & Governance
• Develop, implement, and maintain master data management policies, standards, and procedures.
• Lead initiatives to define and improve master data quality, ensuring consistency and accuracy across systems.
• Collaborate with stakeholders to define master data ownership, stewardship, and data governance frameworks.
• Proactively identify and resolve master data quality issues, implementing preventative measures.
• Database Architecture & Management
• Design, implement, and optimize database structures for master data, ensuring scalability, performance, and security.
• Oversee the management and maintenance of master data databases, including backup, recovery, and performance tuning.
• Evaluate and recommend new database technologies and tools to enhance master data management capabilities.
• Ensure compliance with data security and privacy regulations related to master data.
• Change Management & Integration
• Lead change management efforts related to master data initiatives, ensuring smooth transitions and user adoption.
• Develop and implement strategies for integrating master data across disparate systems, utilizing various integration patterns and technologies.
• Collaborate with IT and development teams to design and implement robust data integration solutions.
• Manage the lifecycle of master data changes, from request to implementation and validation.
• Process Optimization & Automation
• Identify opportunities for automation within master data workflows to improve efficiency and reduce manual effort.
• Design and implement automated processes for data ingestion, validation, enrichment, and distribution.
• Continuously evaluate and optimize existing master data management processes for effectiveness and scalability.
• Stakeholder Collaboration & Support
• Act as a subject matter expert for master data, providing guidance and support to various departments.
• Collaborate with business analysts, data architects, and other teams to understand data requirements and translate them into effective master data solutions.
• Mentor junior team members and share expertise in database management and master data best practices.
• Develop and deliver training on master data concepts and tools to internal stakeholders.

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related technical field.
• 5+ years of progressive experience in data management, with at least 3 years specifically focused on master data management (MDM).
• Proven experience with database architecture and database management systems (e.g., SQL Server, Oracle, PostgreSQL, No
  
  SQL databases) including experience in designing, implementing, and managing master data solutions.
• Proficiency in data modeling and data architecture principles.
• Extensive…