4 weeks ago

Senior Data Management Manager (Data Asset Manager – Consumer Pulse)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Oversee and optimize Consumer Pulse data assets to ensure they are discoverable, well-governed, and high quality for product, analytics, and research teams across multiple data sources and AI-powered products.

Location: Manila

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Key Requirements

•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.

Skills:SQLDatabricksData governanceMetadata managementData qualityCross-functional collaboration

Tech Stack:SQLDatabricks

Company Brief

Procter & Gamble

Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.

Industry: Consumer Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1837

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Procter & Gamble

4 weeks ago

Senior Data Management Manager (Data Asset Manager – Consumer Pulse)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Manila

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•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.

Key Requirements

•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.

Skills:SQLDatabricksData governanceMetadata managementData qualityCross-functional collaboration

Tech Stack:SQLDatabricks

Company Brief

Procter & Gamble

Industry: Consumer Goods

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cincinnati, United States

Founded: 1837

Website LinkedIn