
Chief Data Engineering Manager
2 days ago
About Us: We are a leading technology consulting firm seeking an experienced Technical Project Manager to lead and deliver projects in data engineering and analytics.
The Role: As a Technical Project Manager, you will oversee cross-functional teams to execute data platform, pipeline, and analytics initiatives ensuring alignment with business goals and timely delivery.
- Key Responsibilities:
- Develop and execute technical project plans on time within scope.
- Show strong understanding of data pipelines ETL/ELT and analytics workflows.
- Collaborate with engineering product QA and operations teams to define project requirements and success metrics.
- Create detailed project plans, schedules, resource allocations, and risk mitigation strategies.
- Lead daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies.
- Track project progress using tools like Jira Confluence and report status to stakeholders.
- Proactively identify and resolve project blockers and dependencies.
- Evaluate and ensure all technical documentation is current and aligned with project goals.
- Facilitate communication between technical and non-technical stakeholders.
- Manage third-party vendors or external contractors when applicable.
- Promote continuous improvement in processes, tools, and team efficiency.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in project management within a technical environment.
- Strong understanding of software development methodologies (Agile Scrum, Kanban, or Waterfall).
- Proficient with project management tools (e.g. Jira, Asana, Microsoft Project).
- Excellent communication, negotiation, and stakeholder management skills.
- Able to handle multiple projects simultaneously in a fast-paced environment.
Required Skills:
- Strong understanding of data pipelines ETL/ELT and analytics workflows.
- Excellent communication, negotiation, and stakeholder management skills.
Preferred Skills:
- Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks).
- Proficient with project management tools (e.g. Jira, Asana, Microsoft Project).
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