
<li><em>To lead the impact of data science on different areas of business, that include data management, data analytics &amp; data innovations through Machine Learning, AI</em></li>
<li><em>Being the visionaries &amp; 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</em></li>



<li><em><strong>Data Management</strong></em></li>

<div>- 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)</div>
<div>- Establish &amp; Supervise Amanotes data governance and policies&nbsp;</div>
<div>- Facilitate &amp; Communicate Data Visions and Strategies across functions &amp; business units</div>
<div>&nbsp;</div>

<li><em><strong>Data Operations (Data Supports)</strong></em></li>

<div>- Anticipate the upcoming trends and business demands to propose impactful data deliverables</div>
<div>- 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)</div>
<div>- Ensure Data Support Excellence in performing data ad-hoc requests&nbsp;</div>
<div>&nbsp;</div>

<li><em><strong>Data Analytics &amp; Insights</strong></em></li>

<div>- Define Analytics opportunities to support the growth of Amanotes</div>
<div>- Develop the Analytics Capacities in Amanotes: Through Data &amp; Data Science techniques, Mastering knowledge about our customers, products, and business</div>
<div>&nbsp;</div>

<li><em><strong>Innovation (AI/ML)</strong></em></li>

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


<li>Bachelor's degree in Data Science, Computer Science, Information Technology, Economics, Statistics, Applied Math, Business Administration, or any other related field</li>
<li>3-5 years experience in a senior-level data management role</li>
<li>Experience in designing, managing, and delivering data solutions with a proven track record of managing end-to-end delivery from ideation to R&amp;D to production with multiple stakeholders involved (managing timelines, development, deliverables, and expectations)</li>
<li>Experience in managing senior stakeholders and communicating complex, technical information in an engaging way to both technical and non-technical audiences</li>
<li>Technical understanding or enthusiasm in areas of BI, AI (Incl. Machine Learning), Reporting and visualization, infrastructure, architecture, and governance, are appreciated</li>
<li>Demonstrated leadership ability, confidence, and executive presence – ability to lead and motivate employees within the organization</li>
<li>Excellent analytical, problem-solving, and data analysis skills</li>
<li>High Adaptability (quick-learner &amp; able to adapt quickly with changes in high uncertainty environment)</li>
<li>Radical open-mindedness and radical transparency</li>
<li>Excellent verbal and written communication, in English and Vietnamese</li>
<li>High level of strategic thinking &amp; critical thinking</li>
<li>Exceptional team management skills</li>



<li>Master’s degree or Ph.D. in Data Analytics, Data Scientists, or related fields</li>
<li>Working experience related to the mobile/music/game industry is a plus</li>
<li>Knowledge of Modern Data Stacks, i.e. GCP, AWS, and MLOps is a plus</li>
<li>Passion for Music (such as playing musical instruments and love to sing karaoke) is a huge asset</li>
<li>Showcase in designing initiatives and leading the organization’s data strategy</li>


<div>
<div>At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below:</div>
<ul style="list-style-type: disc;">
<li>Competitive salary upon experience</li>
<li>13th-month salary</li>
<li>Year-end Bonus</li>
<li>ESOP</li>
<li>Flexible working time</li>
<li>Personal learning and well-being budget</li>
<li>Team-building budget</li>
<li>Lunch and parking allowance</li>
<li>Various learning activities, including internal training &amp; sharing, international conferences, and e-learning (Udemy, Linkedin Learning...)</li>
<li>Engaging music events: Music Night, Amasing Night, Music schools…</li>
<li>&nbsp;Employee Assistance Program to support mental health &amp; well-being</li>
<li>Minimum 12 days of paid annual leave, plus 10 days of paid sick leave</li>
<li>12 days working from home per year</li>

</ul></div>

Data and Insights Manager (Based in HCMC)

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

Data and Insights Manager (Based in HCMC)

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