Data Governance & Management Sr Specialist

Philip Morris International

Philippines

On-site

PHP 900,000 - 1,500,000

Full time

5 days ago
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Job summary

Philip Morris International is hiring a Data Governance & Management Sr Specialist in the Philippines. The role bridges business and technology, driving adoption of governance practices and ensuring data is treated as a strategic asset.

You will coordinate with data owners, engineers, and scientists to embed governance into data pipelines and analytics platforms. Applicants bring 5+ years in data governance/management, familiarity with tools like Atlan, Collibra, LeanIX, and Snowflake, and

Qualifications

  • BS in Computer Science, Information Management, or related field.
  • Minimum 5 years in Data Governance/Management, BI, Analytics, or related disciplines.
  • Experience with data management tools such as Atlan, Collibra, LeanIX, Snowflake.
  • Familiarity with ML/AI applications in data governance and understanding of DAMA-DMBOK.

Responsibilities

  • Implement data governance policies, processes and standards.
  • Collaborate with data owners to ensure data quality, confidentiality and compliance.
  • Lead local data governance initiatives aligned with business objectives and policies.
  • Monitor and enforce data governance policies; conduct data quality assessments and audits.
  • Identify and implement solutions to improve data reliability and quality using relevant technologies.
  • Work with Data Engineers and Data Scientists to embed governance in data pipelines.
  • Report data governance metrics and KPIs to senior management.
  • Provide training and support on data governance best practices.

Skills

Data governance
Data management
Stakeholder mgmt
Snowflake

Education

Bachelor's in CS/Info Mgmt

Tools

Atlan
Collibra
LeanIX

Job description

BE PART OF A REVOLUTIONARY CHANGE!

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

The Data Governance & Management Sr Specialist is responsible for driving the adoption and implementation of Data Governance & Management practices within the market. The role acts as a bridge between business and technology teams, ensuring that critical data assets are managed as business assets through effective data ownership, stewardship, quality, metadata, and governance processes. The role requires strong stakeholder management, communication, and change management capabilities to embed a data-driven culture across the organization.

  • Implement data governance policies, processes and standards.
  • Collaborate with data owners and stakeholders to ensure data quality and compliance, and confidentiality.
  • Lead local data governance initiatives and projects, ensuring alignment with business objectives and company policies.
  • Monitor and enforce data governance policies and procedures. Conduct data quality assessments and audits to ensure reliable and high-quality data in the market.
  • Identify, solve, and execute solutions to improve data reliability and quality. Utilize technologies such as Snowflake, Atlan, LeanIX, to manage and govern data.
  • Work with Data Engineers and Data Scientists and other business and IT stakeholders to integrate data governance policies into data pipelines and models.
  • Report on data governance metrics and KPIs to senior management.
  • Provide training and support to staff on data governance best practices.
What We’re Looking For
  • B.S. in Computer Science, Information Management, or a related field.
  • Minimum 5 years of experience in Data Governance, Data Management, Business Intelligence, Data Engineering, Analytics, or related disciplines.
  • Experience with data management tools (eg. Atlan, Collibra, LeanIX, and Snowflake)
  • Familiarity with machine learning and AI applications in data governance.
  • Understanding of data governance principles (DAMA-DMBOK)
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