Data and Insights Manager (Based in HCMC)

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
• 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
• Innovation (AI/ML)
• Drive Amanotes data-empowered innovations through ML/AI to improve the efficiency & quality of Amanotes business and products
• Raise awareness of the potential application of ML/AI in Amanotes
• Provide Data, ML/AI learnings, and strategic input to business visions and projects
• Design the framework of AI/ML building, testing, deployment at a large scale
• Supervise & Ensure the quality, and efficiency of ML/AI deliverables

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
• 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