•Lead end-to-end delivery of Data & Analytics projects while ensuring alignment with business objectives, timelines, budgets, and quality standards.
•Manage large-scale cloud-based data platform initiatives involving Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and related Azure services.
•Drive project planning, execution, monitoring, governance, and successful delivery across multiple teams and stakeholders.
•Lead Agile/Scrum delivery processes and manage project execution using Jira and other project management tools.
•Coordinate cross-functional teams including Data Engineers, Solution Architects, Developers, QA teams, DevOps engineers, and business stakeholders.
•Oversee data migration, ETL/ELT pipeline development, data warehouse modernization, and data lake implementation programs.
•Identify project risks, dependencies, and issues, and implement effective mitigation strategies.
•Facilitate stakeholder communication, project reviews, status reporting, and executive governance meetings.
•Ensure compliance with project management methodologies, organizational standards, and best practices.
•Drive resource planning, capacity management, budgeting, and project forecasting activities.
•Monitor project KPIs and delivery metrics to ensure successful project outcomes.
•Collaborate with leadership teams to define project roadmaps, priorities, and strategic objectives.
•Support continuous improvement initiatives and promote delivery excellence across Data & Analytics programs.
Expertise You'll Bring:
•15-20 years of overall IT experience with significant experience managing enterprise Data & Analytics programs.
•Proven experience delivering Databricks and Microsoft Azure-based data platform projects.
•Strong understanding of Data Warehousing, Data Lakes, ETL/ELT frameworks, Data Migration, and Analytics ecosystems.
•Experience leading large-scale cloud transformation and modernization initiatives.
•Proven ability to manage geographically distributed and cross-functional teams.
•Strong expertise in Agile, Scrum, Waterfall, and Hybrid project delivery methodologies.
•Hands-on experience using Jira and project management tools for planning, tracking, and reporting.
•Strong understanding of Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and cloud-native data solutions.
•Experience managing enterprise-level stakeholders, executive leadership teams, and client-facing engagements.
•Excellent leadership, conflict resolution, negotiation, and decision-making capabilities.
•Strong risk management, issue resolution, and project governance experience.
•Knowledge of Data Engineering principles, Data Architecture, and modern Analytics platforms.
•Ability to manage multiple concurrent projects and complex delivery programs.
•Strong communication, presentation, and stakeholder management skills.
•Experience with financial management, budgeting, resource planning, and project forecasting.
