Data Governance & Data Management Lead at Philip Morris International

Your day to day

• Deploy and Maintain Data Governance Processes: Implement data governance policies, processes, and standards to ensure data integrity and quality across the organization.
• Collaboration and Cooperation: Work closely with data owners and collaborators to ensure alignment to data quality, confidentiality, and global standards.
• Lead Initiatives: Head local data governance initiatives and projects, aligning them with business objectives and company policies.
• Monitor and Enforce Policies: Conduct data quality assessments and audits to maintain high standards of data reliability and quality.
• Identify and Solve Issues: Develop and implement solutions to improve data reliability and quality using technologies such as Snowflake, Atlan, and LeanIX.
• Integration and Support: Work closely with Data Engineers, Data Scientists, and other collaborators to integrate data governance policies into data pipelines and models.
• Report Metrics: Deliver reports to senior management on data governance metrics and key performance indicators.
• Training and Support: Deliver training and support to staff on standard methodologies for data governance.

What we are looking for

• Educational Background: B.Sc. in Computer Science, Information Management, or a related field.
• Minimum 2 years of experience in role with the core focus on data governance or a similar role.
• 6-8 years of data analytics/management experience required
• Collaboration Skills: Proven capability to work cross-functionally with business, analytics, and IT collaborators to address challenges and coordinate data governance initiatives.
• Certification: Certification in data governance or data management (e.g., DAMA, CDMP).
• Technical Proficiency: Experience with data management tools and technologies such as Atlan and LeanIX.
• AI and Machine Learning: Familiarity with the application of machine learning and AI in data governance.
• Project Management: Strong project management skills
• Applicants must have legal authorisation to work in the relevant countries without need for visa sponsorhip

Key Competencies

• Data Governance Principles: Solid understanding of data governance principles (DAMA-DMBOK, ISO/IEC 38500, NIST AI RMF, NIST RDaaF, etc.).
• Experience in Solutions Implementation: Hands-on experience in implementing solutions to improve data quality.
• Proficiency in data quality management and data auditing.
• Solid experience with data visualization tools to supervise and report on data governance metrics.
• Superb communication and collaborator management skills.
• Leadership: Ability to lead and manage data governance projects.
• Regulatory Knowledge: Knowledge of data privacy regulations and compliance requirements.
• Analytical Skills: Strong analytical and problem-solving skills.