15 days ago

Manager Data Governance

Philip Morris International

On Site
Full Time
$130,000
Madrid, Community of Madrid, Spain
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Job Overview

Job TitleManager Data Governance
Job TypeFull Time
Offered Salary$130,000
LocationMadrid, Community of Madrid, Spain
Map of Madrid, Community of Madrid, Spain

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Job Description

Manager Data Governance

One clear purpose – to deliver a smoke-free future. Times are changing at PMI. We’ve chosen to do something big. The world expects us to act responsibly. And we are doing just that by transforming our business by building a smoke-free future. With huge change comes huge opportunity. Wherever you join us, you’ll enjoy the freedom to deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

As PMI accelerates its transformation, data has become a critical strategic asset. Reliable, trusted, and well-governed data is essential to support decision-making, advanced analytics, and scalable AI solutions. Our GTR data organization is strengthening its Data Governance & Engineering capability, with end-to-end ownership of governed data delivery across Bronze (raw and staging), Silver (refined), and Gold (curated and consumption-ready) layers, ensuring data is analytics and AI ready.

Purpose of the job

As a Manager Data Governance, you will lead the GTR data governance and engineering vertical with end-to-end ownership of governed data delivery from Bronze to Gold. The role combines governance responsibilities, including standards, stewardship, quality, metadata, lineage, and access, with engineering delivery of pipelines, datasets, and semantic models. You will manage a mixed team and partner closely with business and IT stakeholders to improve data integrity, accessibility, and reuse across multiple countries.

Key Responsibilities

  • Define and operate the GTR data governance framework aligned with global requirements, including policies, standards, roles, and decision forums.
  • Own data domain onboarding, defining critical data elements, data ownership, stewardship workflows, and escalation paths for data issues.
  • Lead and develop the Data Governance & Engineering team by setting clear objectives, prioritizing delivery, and coaching team members.
  • Establish and run data quality controls, monitoring, dashboards, and remediation workflows, and perform periodic assessments.
  • Define and enforce data access, classification, retention, and confidentiality requirements in partnership with security, compliance, and platform teams.
  • Oversee metadata management, catalog adoption, business glossary, and lineage using Atlan to drive transparency and reuse.
  • Own end-to-end delivery of trusted data products across Bronze, Silver, and Gold layers on Snowflake, ensuring performance, reliability, and analytics and AI readiness.
  • Define and track governance and engineering KPIs, and promote adoption through training, communication, and a strong data ownership culture.

Required Skills

  • Strong experience in data governance, data quality management, metadata management, and stewardship operating models.
  • Solid SQL and data modeling skills, including dimensional and semantic modeling, with experience validating analytics-ready datasets.
  • Experience with data engineering and analytics engineering practices, including ELT/ETL patterns, orchestration, testing, and documentation.
  • Hands-on experience working with Snowflake and collaborating with platform teams on performance and access patterns.
  • Experience operating in a multi-country or global environment with diverse stakeholders.
  • Strong people and stakeholder leadership skills, including prioritization, coaching, and cross-functional alignment.

Preferred Qualifications

  • 7+ years’ experience across data governance and data engineering/analytics engineering in a complex, multi-country/global enterprise environment.
  • Prior people management experience leading a mixed team (stewardship + engineering) and delivering outcomes through a prioritized roadmap.
  • Experience implementing data quality and observability tooling and integrating controls into pipelines (tests, monitors, alerts).
  • Experience with data catalog/metadata platforms and operating a business glossary and lineage rollout.
  • Hands-on experience with Snowflake (preferred) and Atlan (preferred) in production, including governance integration (catalog/lineage) and secure data sharing/consumption patterns.
  • Certification in data management/governance (e.g., CDMP) and/or relevant cloud/data engineering certification.

What We Offer

Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

  • Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: to deliver a smoke-free future.

Key skills/competency

  • Data Governance
  • Data Quality Management
  • Metadata Management
  • Stewardship
  • SQL
  • Data Modeling
  • Data Engineering
  • Snowflake
  • Stakeholder Management
  • People Leadership

Tags:

Data Governance
Data Quality
Metadata Management
Stewardship
SQL
Data Modeling
Data Engineering
Snowflake
Analytics Engineering
Leadership

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How to Get Hired at Philip Morris International

  • Tailor your resume: Highlight data governance, SQL, data modeling, and Snowflake experience.
  • Showcase leadership: Emphasize team management and cross-functional collaboration skills.
  • Quantify achievements: Provide data on improvements in data quality or efficiency.
  • Prepare for interviews: Be ready to discuss your approach to data governance frameworks and challenges.
  • Research PMI: Understand their transformation towards a smoke-free future and their data strategy.

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