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Head - Data Engineering - AL/ML
2 weeks ago
-Bachelors degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred in data management/ AI/ML.
- Proven experience in a leadership role within data engineering, analytics, or data science in product companies.
-Experience in driving Data Strategy and key Programs/ Products.
-Strong background in designing and implementing data pipelines and architectures.
Experience with big data technologies, cloud platforms, AI/ML/Gen-AI platforms, and data visualization tools.
Proficiency in programming languages such as Python, SQL, R, Spark, or more, and experience with machine learning frameworks and data architecture.
Develop and execute the data strategy in alignment with the company & business goals.
Lead and mentor a team of data engineers, data scientists, and analysts.
Create a culture of data-driven decision-making and collaborate with senior leadership to influence company strategy and direction through data-driven insights.
Design and implement scalable data pipelines to collect, process, and store data from various sources, especially high-throughput telemetry data from on-field sensors
Oversee the development of data architecture and infrastructure to support analytics and data science initiatives.
Develop and maintain data models and reporting systems that are open to
business users
Implement AI/ML/Gen-AI on top of the data platform
Drive the adoption of data-driven decision-making across the organization.