Overview of job
Objectives
- To lead the impact of data science on different areas of business, that include data management, data analytics & data innovations through Machine Learning, AI
- Being the visionaries & execution driver of all data-enabled initiatives in Amanotes. Provide transformative direction and the general technical leadership for Amanotes Data Ecosystem. Coordinate cross-function to leverage data to achieve impactful business outcomes
What you will do
Data Management
- Supervise the data and information system to ensure adequacy, accuracy, and legitimacy of data products (including but not limited to: reports, insights, analytics tools, models)
- Establish & Supervise Amanotes data governance and policies
- Facilitate & Communicate Data Visions and Strategies across functions & business units
Data Operations (Data Supports)
- Anticipate the upcoming trends and business demands to propose impactful data deliverables
- Supervise the pipeline to deliver data with high quality, timeliness, usefulness; to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard)
- Ensure Data Support Excellence in performing data ad-hoc requests
- Oversee the end-to-end MLOps lifecycle, including automated pipeline deployment for model training, evaluation, and inference at scale
- Implement robust monitoring and alerting frameworks to track model health, data drift, and performance degradation in production
Data Analytics & Insights
- Define Analytics opportunities to support the growth of Amanotes
- Develop the Analytics Capacities in Amanotes: Through Data & Data Science techniques, Mastering knowledge about our customers, products, and business
