Data Manager (Data Scientist, Data Engineer)

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

Bachelor's degree in Data Science, Computer Science, Information Technology, Economics, Statistics, Applied Math, Business Administration, or any other related field

3-5 years experience in a senior-level data management role

Experience in designing, managing, and delivering data solutions with a proven track record of managing end-to-end delivery from ideation to R&D to production with multiple stakeholders involved (managing timelines, development, deliverables, and expectations)

Experience in managing senior stakeholders and communicating complex, technical information in an engaging way to both technical and non-technical audiences

Technical understanding or enthusiasm in areas of BI, AI (Incl. Machine Learning), Reporting and visualization, infrastructure, architecture, and governance, are appreciated

Demonstrated leadership ability, confidence, and executive presence – ability to lead and motivate employees within the organization

Excellent analytical, problem-solving, and data analysis skills

High Adaptability (quick-learner & able to adapt quickly with changes in high uncertainty environment)

Radical open-mindedness and radical transparency

Excellent verbal and written communication, in English and Vietnamese

Proven experience with MLOps tools (e.g., MLflow, Kubeflow, DVC) and implementing CI/CD pipelines for machine learning automation

Strong understanding of cloud infrastructure (GCP/AWS) and infrastructure-as-code for managing ML production environments

High level of strategic thinking & critical thinking

Exceptional team management skills

Master’s degree or Ph.D. in Data Analytics, Data Scientists, or related fields

Working experience related to the mobile/music/game industry is a plus

Knowledge of Modern Data Stacks, i.e. GCP, AWS, and MLOps is a plus

Passion for Music (such as playing musical instruments and love to sing karaoke) is a huge asset

Showcase in designing initiatives and leading the organization’s data strategy