Project Manager for Data Management/Governance

Key Responsibilities

• Lead end-to-end planning, execution, and delivery of data initiatives aligned with business and data strategy
• Define program roadmaps, timelines, milestones, and governance structures
• Manage risks, dependencies, and ensure timely resolution of issues

Data Management & Governance (Core Responsibility)

• Drive the implementation and adoption of enterprise Data Management and Data Governance frameworks
• Establish and strengthen processes related to:
• Data quality management
• Metadata management
• Data lineage and traceability
• Data stewardship and ownership models
• Define and enforce data policies, standards, and controls across the organization
• Ensure alignment with regulatory, compliance, and audit requirements
• Promote a data-first culture and governance discipline across business and technology teams

Stakeholder Management

• Act as a bridge between business, data, and technology stakeholders
• Provide executive-level updates, dashboards, and governance reporting
• Collaborate with leadership to align data initiatives with organizational priorities

Team Leadership & Collaboration

• Lead cross-functional teams including data engineers, analysts, and governance specialists
• Drive accountability, collaboration, and performance across distributed teams
• Mentor teams on data governance best practices and project execution

Process Excellence & Governance

• Establish governance frameworks, KPIs, and reporting cadence for data initiatives
• Implement Agile/Scrum or hybrid delivery models where applicable
• Drive continuous improvement in data processes and delivery methodologies

Budget & Resource Management

• Manage program budgets, resource planning, and cost optimization
• Ensure effective utilization of resources across initiatives

Required Skills & Qualifications

• 8+ years of IT experience with proven track record of leading data programs and initiatives
• Strong, hands-on experience in Data Management and Data Governance (mandatory)
• Deep understanding of:
• Data quality, metadata management, lineage, and stewardship
• Data Warehousing concepts
• ETL/ELT tools (Informatica, Talend, DBT, etc.)
• Cloud platforms (AWS / Azure/ GCP)
• Modern data platforms (Snowflake, Databricks)
• Data compliance, security, and regulatory requirements
• Excellent stakeholder communication and leadership skills

Preferred Qualifications

• Experience in DataOps and governance automation
• Exposure to AI-driven data governance or data quality frameworks