
Chief Data Engineering Operations Leader
1 week ago
The ideal candidate will have hands-on experience in managing data engineering, analytics, or AI/ML projects from start to finish.
- Key Responsibilities:
- Develop and implement comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables.
- Lead cross-functional teams to deliver scalable solutions on time and within budget constraints.
- Define and prioritize product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools.
The successful candidate will drive post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards.
Required Skills and Qualifications:
- Hands-on development experience in data engineering, including data pipelines, ETL processes, and data integration workflows.
- Solid understanding of modern data architecture and cloud platforms.
- Excellent leadership and communication skills.
Benefits:
The company offers a competitive compensation package and opportunities for professional growth and development.
Others:
The candidate should be able to work collaboratively with business units and stakeholders to ensure successful project outcomes.
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