Senior Data Management Manager – Data Asset Manager, Consumer Pulse

Procter & Gamble

Data Asset Manager overseeing data governance and quality improvements for Consumer Pulse data assets. Collaborating with teams to enhance usability and drive data-driven initiatives.

Posted 6/26/2026full-timeManila • 🇵🇭 PhilippinesSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Develop and implement data management strategies for Consumer Pulse data assets (news, social, reviews, complaints, surveys, and derived datasets).
Ensure proper cataloging, tagging, and metadata management so datasets are easy to discover, understand, and use by users and AI agents.
Monitor and improve data quality and integrity (validation checks, issue triage, root-cause partnership), implementing corrective measures as needed.
Establish and enforce data governance policies and procedures, including ownership, stewardship, definitions, and documentation standards.
Partner with privacy, security, and legal stakeholders to ensure compliance with data privacy and protection requirements, and to operationalize controls.
Collaborate with product, and analytics teams to enable data-driven initiatives and improve dataset adoption and utilization.
Develop and maintain data lifecycle processes (onboarding, versioning, retention, archiving, deletion) aligned to product and compliance needs.
Oversee data asset tooling and stay current on best practices and emerging technologies.
Provide training, documentation, and support to data producers and analysts on standards, tools, and repeatable data management practices.
Serve as a point of contact for data-related inquiries, coordinating issue resolution and continuous improvements across stakeholders.

Requirements

What you’ll need

Expected Experience in data management, data stewardship, or data operations; experience with large-scale, multi-source datasets.
Strong understanding of data governance, metadata management, and data quality principles; ability to define standards and drive adoption.
Proficiency with common data tools (e.g., SQL, Databricks) and familiarity with data catalog/DAM capabilities, workflow tooling, or metadata pipelines.
Excellent analytical, organizational, and problem-solving skills with strong communication and cross-functional collaboration abilities.
Preferred Experience with privacy/compliance programs and applying data protection requirements in day-to-day data processes.
Familiarity with media and social data formats, industry standards, and concepts such as taxonomy management and entity/attribute normalization.
Experience building reporting/visualizations for stakeholders and translating usage trends into actionable recommendations.

Benefits

Comp & perks

We produce globally recognized brands and we grow the best business leaders in the industry.
We are an equal opportunity employer and value diversity at our company.

ATS Keywords

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Hard Skills & Tools

data managementdata stewardshipdata operationsdata governancemetadata managementdata qualitySQLDatabricksdata catalogdata lifecycle processes

Soft Skills

analytical skillsorganizational skillsproblem-solving skillscommunication skillscross-functional collaboration