Key Responsibilities
• Lead and manage multiple data programs and projects, ensuring alignment with organizational strategy
• Define program scope, goals, timelines, and success metrics
• Coordinate cross-functional teams including Data Engineering, Data Science, Analytics, and Business stakeholders
• Drive execution of data initiatives such as data platform development, data migration, governance, and analytics solutions
• Establish and maintain program governance, reporting, and communication frameworks
• Identify risks, dependencies, and issues; develop mitigation strategies
• Ensure data quality, compliance, and governance standards are integrated into all initiatives
• Manage budgets, resource allocation, and vendor relationships where applicable
• Facilitate stakeholder engagement and ensure transparency through regular updates and reporting
• Promote best practices in Agile/Waterfall methodologies and continuous improvement
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field
• 10-20 years of experience in program or project management, preferably in data or technology domains
• Proven experience managing large-scale data projects (e.g., data lakes, warehouses, BI platforms, ETL pipelines)
• Experience in Databricks projects
• Strong understanding of data architecture, analytics, and data governance concepts
• Experience working with cross-functional and distributed teams
• Proficiency in program management tools (e.g., Jira, MS Project, Asana)
• Strong communication, leadership, and stakeholder management skills