Description:
- The ideal candidate will have a strong technical and data and AI/ML background, great execution capabilities, leadership experience, and a strategic mindset to build and manage a high-performing team.
- 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 with previous employers.
- 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.
Key Responsibilities:
- Lead and mentor a team of data engineers, data scientists, and analysts.
- Create a culture of data-driven decision making, 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
- Ensure data quality, integrity, and security across all data systems.
- Oversee the development of data architecture and infrastructure to support analytics and data science initiatives.
- Establish Data quality standards and procedures
- Implement data governance policies and procedures
- Develop and maintain data models and reporting systems that are open to business users
- Lead the development of advanced analytics and machine learning models to solve complex business problems.
- Implement AI/ML/Gen-AI on top of the data platform
- Drive the adoption of data-driven decision-making across the organization.
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