Overseeing program execution as Principal Technical Program Manager for Syneos Health. Collaborating with stakeholders and managing complex projects in the healthcare sector.
About the role
- Technical Program Manager leading and coordinating technical projects across data engineering and data modeling environments at Incedo. Collaborating with technical and business stakeholders for project success.
Responsibilities
- Lead and manage end-to-end technical projects related to data platforms, ETL processes, data migrations, and system integrations, ensuring alignment with business objectives and project timelines.
- Oversee data warehousing, data lake, and big data platform projects in multi-data-center and cloud-based environments, coordinating the efforts of data engineers, data modelers, and database administrators.
- Ensure the design, development, and implementation of data models (conceptual, logical, and physical), ETL pipelines, and database systems meet business requirements and industry best practices.
- Manage project scope, timelines, risks, and budgets while ensuring timely project delivery and maintaining quality standards.
- Collaborate with cross-functional teams, including data architects, developers, QA engineers, and business analysts, to drive project success and address technical challenges.
- Lead project planning sessions, develop detailed project plans, and monitor progress to ensure timely delivery of technical solutions.
- Facilitate regular communication with stakeholders, providing updates on project milestones, issues, and resolutions, and ensuring alignment on objectives.
- Implement best practices for data governance, metadata management, and data security across projects.
- Troubleshoot project-level technical issues, and provide guidance to resolve complex data, ETL, and system-related challenges.
- Drive continuous improvement efforts in project management processes, technical architecture, and team collaboration.
Requirements
- 7+ years of experience in managing technical projects within data engineering, data modeling, or data warehousing environments.
- Strong hands-on technical background with expertise in RDBMS, NoSQL, data warehouses, data lakes, and ETL processes.
- Experience with data platform migrations, including transitioning from on-premise to cloud-based solutions like AWS Redshift, Snowflake, or similar technologies.
- Proven experience working with metadata management, data modeling tools (Erwin, ER Studio, etc.), and database design principles.
- Proficiency in performance tuning for data pipelines, databases, and application queries.
- Solid understanding of project management methodologies (Agile, Scrum, or Waterfall) and best practices.
- Demonstrated ability to lead cross-functional teams and manage complex projects with multiple stakeholders.
- Strong problem-solving skills with the ability to troubleshoot and resolve technical issues related to data platforms, ETL pipelines, and SQL/PL-SQL scripts.
- Excellent communication and interpersonal skills, with the ability to clearly convey technical information to both technical and non-technical stakeholders.
Job title
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