Data Project Manager
Job Description
Project Management:
- Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to completion.
- Develop comprehensive project plans, including scope, timelines, resource allocation, and budgets.
- Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery.
- Coordinate with cross-functional teams, including data engineers, data scientists, and IT professionals, to ensure seamless execution of projects.
Responsibilities Duties:
Technical Leadership:
- Provide technical guidance and expertise on data migration strategies, data lake architectures, and data analytics solutions.
- Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle.
- Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions.
Key Skills:
Stakeholder Management:
- Act as the primary point of contact for clients, providing regular project updates and addressing any concerns or requirements.
- Facilitate communication between technical teams and non-technical stakeholders to ensure alignment on project goals and deliverables.
- Manage stakeholder expectations and ensure high levels of customer satisfaction.
Continuous Improvement:
- Identify opportunities for process improvements and implement best practices in project management and technical delivery.
- Stay up-to-date with the latest trends and technologies in data services, data migration, and cloud computing.
Experiance Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.
- Minimum of 5 years of experience in technical project management or technical delivery, specifically in data analytics services, legacy data platform migrations, or data lake projects.
- Strong understanding of data architectures, data integration, and data analytics.
- Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP).
- Experience migrating On prem data platforms to Databricks and Snowflake for data engineering and analytics.
- Experience with SAP systems and SAP HANA is a plus.
- Excellent project management skills, with proficiency in project management tools (e.g., MS Project, Jira).
- Strong leadership, communication, and interpersonal skills.
- PMP, PRINCE2, or similar project management certification is preferred.
Benefits:
Training, health, insurance, commuting support, lunch service etc.