Description

You will lead the full lifecycle of large-scale data initiatives from inception to delivery.

Responsibilities

• Lead the end-to-end lifecycle of data projects to ensure on-time and on-budget completion.
• Collaborate with Data Engineering, IT, and Business Operations stakeholders to align technical deliverables with business goals.
• Define project scope, objectives, and timelines by translating business needs into technical requirements.
• Manage resource allocation, project risks, budgets, and third-party vendors.
• Implement data governance and compliance standards including GDPR and CCPA.

Required Skills

• 10-12 years of experience in project management, with at least 5 years managing data-driven projects.
• Proven experience with Azure data platforms.
• Technical understanding of data lakes, ETL processes, and analytics.
• Proficiency using Jira and MS Project.
• Expertise in Agile and Waterfall methodologies.
• Strong knowledge of data management and governance frameworks.
• Bachelor’s degree in Data Science, Computer Science, or a related field.

Preferred Skills

• PMI, Agile, or Scrum certifications.
• Master’s degree in a technical field.
• Experience in finance, healthcare, or technology sectors.

Key Skills

Education

Any Graduate