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Responsibilities
- Deliver enterprise-scale data and analytics transformation programs.
- Manage project planning, execution, and delivery.
- Engage stakeholders and communicate with executives.
- Perform resource and capacity planning.
- Oversee budget management, forecasting, and financial aspects.
- Manage risks, dependencies, and issues.
- Manage vendor and third-party relationships.
- Utilize Agile, Scrum, and Hybrid project delivery methodologies.
Requirements
- 10+ years of overall IT experience.
- At least 5+ years of experience managing Data, Analytics, AI, or Cloud transformation projects.
Skills
- Data Warehousing (Snowflake)
- Data Engineering concepts
- Business Intelligence and Reporting Platforms (Power BI, Tableau)
- Cloud Technologies (Azure, AWS, GCP)
- Data Governance
- Data Quality
- Master Data Management frameworks
- Artificial Intelligence
- Machine Learning
- Generative AI solutions
- Project planning
- Project execution
- Delivery management
- Stakeholder engagement
- Executive communication
- Resource planning
- Capacity planning
- Budget management
- Forecasting
- Financial oversight
- Risk management
- Dependency management
- Issue management
- Vendor relationship management
- Third-party relationship management
- Agile methodologies
- Scrum methodologies
- Hybrid project delivery methodologies
- Communication skills
- Presentation skills
- Negotiation skills
- Problem-solving capabilities
- Decision-making capabilities
- Leadership of large, geographically distributed teams
- Customer focus
- Relationship management
Experience Level
- 10+ years of overall IT experience
- 5+ years of experience managing Data, Analytics, AI, or Cloud transformation projects
Education Level
- Bachelor's degree in Engineering, Computer Science, Information Systems, Business, or a related discipline.
- PMP certification
- PRINCE2 certification
- Certified Scrum Master (CSM)
- SAFe Agile Certification
- Agile Project Management certifications (preferred)