Data Manager (Data Scientist, Data Engineer)

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

Qualifications

• 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

Will be a plus

• 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

Benefits

At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below:

• Competitive salary upon experience
• 13th-month salary
• Year-end Bonus
• ESOP
• Flexible working time
• Personal learning and well-being budget
• Team-building budget
• Lunch and parking allowance
• Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...)
• Engaging music events: Music Night, Amasing Night, Music schools…
• Employee Assistance Program to support mental health & well-being
• Minimum 12 days of paid annual leave, plus 10 days of paid sick leave
• 12 days working from home per year