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Data Science Manager, IT

Location Singapore, Singapore
Posted 04-September-2021
At Boston Scientific, you will find a collaborative culture driven by a passion for innovation that keeps us connected on the most essential level. With determination, imagination and a deep caring for human life, were solving some of the most important healthcare industry challenges. Together, were one global team committed to making a difference in peoples lives around the world. This is a place where you can find a career with meaningful purposeimproving lives through your lifes work

About the role:

The Data Science (DS) Manager is the senior executive who bears responsibility on behalf of an enterprise to foster value creation from the use of the organizations data assets, as well as the external data ecosystem. The authorities include value creation through data exploitation, envisioning data-enabled strategies as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy. The DS Manager is the head of all enterprise analytics, decision making affecting analytics, directing analytics processes, and for using analytics to drive innovation and enterprise objectives.


Be the executive with authority, responsibility, and accountability to exploit the value of enterprise information assets and the analytics used to render insights for decision making and regulatory reporting.

Define information strategy practices, lead the creation and assure the ongoing relevance of the firms information strategy in association with senior leadership in the region (e.g. IT, Finance, Supply Chain).

Drive the development and deployment of the enterprises data and analytics platform for digital business. Lead strategy and the development of data and analytics products. To support these endeavors, collaborate with the Marketing and IT to assure digital products are released on time, on budget and with high quality.

Work with Regional Leadership Team (RLT) to establish vision, to govern and to create a culture that manages data as an enterprise asset.

Identify and standardize the use and governance of data and analytics in support of the enterprises business strategy. This includes the governance of data and algorithms used for analysis, analytical applications and automated decision making.

Institute a programmatic approach for enterprise information management to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.

Lead regulatory and compliance programs related to data and analytics assets.

Organize and lead a data and analytics governance council to provide executive sponsorship and oversight for governance policy creation and compliance.

Develop, manage and control the annual budget for the office of the DS LEAD.

Organize and lead a data and analytics center of excellence. Define member responsibilities and accountabilities for both. Define job roles, recruit candidates and then manage directly or indirectly a team of data and analytics governance leaders and senior information management professionals in regions or business units across a complex, international group enterprise.

Develop the enterprises capacity to develop insights with advanced analytics. Recruit and develop data science competencies and resources for the corporate exploitation of big data and sourced data as well as the liberation of dark data, using a combination of open source, cloud and social era tools and techniques for data analytics, machine learning, mining and visualization.

Share responsibility with theIT Directorto create and oversee a centralized service for sourcing external data to ensure quality, traceability, timeliness, usability and cost-effectiveness.

Facilitate the evolution to self-service analytics and data preparation.

What were looking for in you:

Key Skills & Experiences:

Familiar with latest ETL tools with expert knowledge of SQL database design

Understanding of multiple programming languages

Prior experience as a data scientist or senior data engineer in a global company. Experience in pharma industry is a major plus.

Light travel when required. Able to communicate with business leaders to tell a data story and draw consensus

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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