Head of Data Empowerment/ Biopharma (Tokyo)
Tokyo, Tokyo, JP, 153-8932
Applications have closed
Merck Group
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.
As a vibrant science and technology company, we believe in science as a force for good. We make a positive difference on millions of people´s lives every day.
メルクは、ヘルスケア、ライフサイエンス、エレクトロニクスの分野における世界有数の企業です。サイエンスとテクノロジーへのあくなき探究から生まれる革新的な製品・サービスで人々の豊かな暮らしを創造します。
メルクグループジャパンについて、こちらをご参照ください。
Position Title: Head of Data Empowerment
Location: Tokyo
Department: Commercial Excellence
Reporting To: Head of Business Technology & Solutions (Biopharma)
No. of direct reports: 5
Purpose of the Role
The primary purpose of the Head of Data Empowerment is to be the key person in the organization to lead our activities of data management, data analytics and data-driven applications, to meet the needs of the larger Business Technology & Solutions department and enable its internal clients in the business units and sales departments to achieve their business goals.
Key Responsibilities
The Head of Data Empowerment Team’s core mission:
- To define and drive the stream of new initiatives using Machine Learning and AI solutions (such as LLMs), either as new projects or integrated in existing projects like our Next Best Action system (Veeva Suggestions) to accelerate the growth of our business with very targeted recommendations, meeting and exceeding the needs of our BU and Sales counterparts.
- To lead the continued development of reporting solutions to address evolving KPI measurement and visualization needs.
- To continue enhancing our data infrastructure to store and process internal and external Data.
- To define the future of the CRM platform for Japan in partnership with the Global CRM Team.
- To coach and train team members (and new joiners in the team) to further their data analytics skills, their project management skills and overall capacity to handle more complex responsibilities by themselves.
Other Responsibilities:
- Be well connected with our key counterparts in Marketing, Sales, and other teams within the Business Technology and Solutions department, to understand and anticipate their needs and what this means for our data infrastructure, data ingestion or data analytics in terms of set up and readiness.
- Be well connected with the Global Data Analytics and Platforms streams to understand where Japan could be impacted, or where Japan could benefit from global tools or by joining new projects.
- Be able to take the hands-on lead on specific analytical projects when needed (if the team experience is insufficient, or if the current resources are limited).
- Establish close relationship with IT partners locally and globally as they manage our cloud platforms.
- Hiring additional resources and outsourcing (while most of the work should be done internally).
- Dutifully manage spending and yearly budget of the team
Main Interfaces
Internally: Key stakeholders: Marketing, Sales Team, other teams in Business Technology & Solutions, IT, in partnership with Global counterparts expected on key projects.
Candidate’s Profile
Education
- Bachelor's degree and up in a relevant field (STEM); advanced degree preferred.
Professional Experience & Skills
- Strong experience in directly managing and running hands-on Data Analytics Projects. Experience in developing machine learning models (forecasts, marketing mix, prediction, classification) is a strong skillset we are looking for in this position.
- Working knowledge of R and/or Python for Machine Learning, Visualization, Reporting and in more general terms Data Analytics purposes.
- Good awareness and hands-on experience of modern AI tools like LLMs and how to deploy them.
- Good understanding of AWS cloud infrastructure and the role of tools like S3, Lambda, Step functions, Athena, Event Bridge, Glue…
- Desirable: at least 4 years’ experience in the pharmaceutical industry sector. Other sectors exposure a plus.
- History of working with a high degree of agility, initiative and a flexible approach – managing competing demands and changing priorities to deliver outcomes successfully.
- Proactive, result-oriented and capable to work independently when needed.
- A systematic approach to work maintaining accountability, plans and demonstrations of success.
- Good presentation skills: know how to get to the point quickly and precisely, using visuals to your advantage.
- Strong ability to exercise judgment and decision-making at a level commensurate with the role.
- People management experience strongly preferred. Not mandatory but would be a strong asset for this position if the applicant has already managed people directly or even indirectly (as cross-functional project leader, for example).
- Excellent communication skills and interpersonal skills.
- High personal integrity.
Languages
- Fluent in both English and Japanese (In case not Japanese native speaker, Japanese proficiency needs to be at a sufficient level to be comfortable to converse and present in Japanese towards our team members, internal clients and stakeholders is expected. Working in Japanese should not be a barrier that prevents you to perform.)
Recruiting contact: Fang Liu
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of our diverse team!
Register now to our new Talent Zone! It is a great way to stay connected, learn more about our company, career opportunities and events! Even you have no plan to apply a position now, please feel free to register to be visible to our internal recruiters and stay in touch for future opportunities.
メルクグループのタレントゾーンにご登録ください!メルクのポジションにすぐに応募予定のない方も登録可能です。
メルクグループと、メルクにおけるキャリアオポチュニティーについて、理解を深めるいい機会を是非ご活用ください!
Talent zone link: https://careers.vibrantm.com/global/en/jointalentcommunity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Classification Data Analytics Data management Lambda LLMs Machine Learning ML models Pharma Python R STEM Step Functions
Perks/benefits: Career development Flex hours Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs