Project Manager - Data Management

Position Title: Project Manager - Data Management
Location: Flexible / Hybrid / Onsite
Duration: Long Term Contract
 
Basic Qualifications:

• Bachelor’s degree in information technology, Computer Science, Data Management, Business Administration, or a related field.
• 8 years of project management experience, including at least 5 years leading data management, data governance, or data transformation initiatives.
• Proven experience managing large-scale enterprise data projects.
• Hands-on experience with cloud data platforms such as Azure, AWS, or Google Cloud.
• Familiarity with modern data architectures and analytics ecosystems.
• Excellent stakeholder management and communication skills.
• Demonstrated ability to manage project budgets, schedules, and cross-functional teams.

• Data Quality Management
• Data Integration
• Data Warehousing
• Data Migration
• Data Lifecycle Management
• Experience delivering projects using Agile, Scrum, Waterfall, or hybrid methodologies.

• PMP, PRINCE2, Agile Certified Practitioner (PMI-ACP), or Scrum certifications.
• Experience with tools such as Azure Data Factory, Databricks, Snowflake, Power BI, Tableau.
• Knowledge of data privacy and regulatory frameworks (GDPR, CCPA, HIPAA, SOX, etc.).

• Oversee data migration, data integration, and data modernization programs involving on-premises and cloud environments.
• Lead end-to-end delivery of data management projects from initiation through implementation and post-production support.
• Define project scope, objectives, timelines, budgets, and resource plans aligned with business priorities.
• Manage multiple concurrent data-focused initiatives across business units and technology teams.
• Collaborate with stakeholders to gather requirements and translate business needs into actionable project plans.
• Identify project risks, dependencies, and mitigation strategies to ensure successful delivery.
• Coordinate with data architects, data engineers, analysts, business users, and external vendors.
• Ensure adherence to organizational standards, regulatory requirements, and data security policies.
• Track project KPIs, milestones, budgets, and resource utilization.
• Drive continuous improvement of project management and data management practices.