Job title: Senior Specialist \xe2\x80\x93 HH IT DnA \xe2\x80\x93 Technical Lead, Data Engineering
Opportunity to be a part of our dynamic Team in Singapore!
Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista\xe2\x80\x99s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified\xe2\x84\xa2 company.
Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.
The enterprise Information Technology field is rapidly changing. The explosion of data tied to the ubiquity of digital technologies and services available to consumers is changing the expectations of senior leaders, employees, customers, and patients. People want access to information, everywhere, on any device, anytime. These challenges require IT to significantly uplift its technology assets and skillsets to speed up and drive the changes. To address this challenge, IT has established a five Tech Centers model in Austin, Rahway, West Point, Singapore, and Prague to provide a follow-the-sun operational model leveraging networked teams that can better support the business, the patients and make the crosswork between different departments and regions more agile.
Primary Responsibilities
As a Product Technical Lead (TL) focuses on Technology Implementation, which is the process of converting functional requirements into fully implemented IT product features.
Set the direction for team of data engineers working alongside with Product Manager.
Define and implement prioritization framework to direct investments and manage evolution of capabilities according to established roadmaps, priorities, and customer feedback.
Maintain and prioritize a healthy backlog of well-formed epics, features and user stories which align with the overall roadmap and serve as requirements for the delivery squad(s).
Partner with squad members including but not limited to Product Managers, scrum masters, Business Analyst and development team to manage high-quality product delivery leveraging Agile SDLC methodology.
Be accountable for enablement, adoption and growth of global data content products across HH markets.
Establish, track and monitor Value Realization metrics for the Data products and communicate on a regular and as needed basis to stakeholders.
Partner with Foundational Data & Analytics, Enterprise Architecture, Cloud and other enterprise teams to define, implement and extend required capabilities and services to address HH divisional needs.
Apply risk-based decision making to complex problems and consult with relevant subject matter advisors as needed to inform the decision. Operate with Integrity and ensure adherence with organization policies, quality assurance and data protection processes.
Education Minimum Requirement:
B.S. or M.S. in IT, Engineering, Computer Science, or related field.
Required Experience and Skills:
7+ years of relevant work experience, with at least 2+ years of demonstrated Technical Lead experience in Data and Analytics space using Agile methodologies.
Previous experience in Life sciences and Pharma domain and experience is preferred.
Strong expertise in converting Business Requirements/Solution Architecture into High Level Design, Low Level Design documents and effectively have them implemented by a team of data engineers.
Strong expertise in building and supporting Cloud Data platform solutions.
Deep Knowledge and experience building cloud data platform and data warehouse products using cloud native solutions.
Hands-on experience in one or more areas of data acquisition, data modelling, data transformations and build data pipelines is highly essential.
Define and maintain the global data standards and reusable connectors to share and configure by the regional product teams.
Leadership skills, with demonstrated ability to set direction and lead/ motivate teams
Excellent interpersonal and communication skills, with the ability to quickly establish credibility and trust with a variety of stakeholders.
Preferred Skills and Experience:
Certifications in one or more cloud technologies. Having AWS advanced certifications is a plus.
Agile and/or Technology related certifications
Prior experience in building data pipelines and solution designing of Data products is highly desired.
Perform solution reviews and able to guide the product teams to build optimal and reusable solutions.
Proven delivery excellence of one or more data products and increments in Agile delivery.
Understanding of Global Pharmaceutical Sales and Marketing data domains.
Understanding of emerging trends and technology offerings in data and analytics and able to work independently on the Poc\xe2\x80\x99s.
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another\xe2\x80\x99s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Current Employees apply
Current Contingent Workers apply
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status: Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements: Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Information Management, Information Technology (IT) Infrastructure, Network Infrastructures, Software Development
Preferred Skills: Agile Application Development, Agile Models, Biological Sciences, Business Communications, Business Data Analytics, Business Transformation, Cloud Computing, Cloud Infrastructure, Data Acquisition, Data Fusion, Data Transformation, DNA Technology, Engineering Analysis, Geotechnical Investigations, Leadership, Marketing Data Analytics, Organizational Behavior, Product Management, SAP Business Warehouse, Stakeholder Engagement, Strategic Supply Chain Management, Systems Engineering, Technical Quality Assurance, Technology Implementations, User Story