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Lead Data Engineer Market Access
Company | Takeda |
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Location | Massachusetts, USA |
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Salary | $137000 – $215270 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior, Expert or higher |
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Requirements
- Undergraduate degree in a technical field such as computer science, data analytics or data engineering along 7+ years of experience.
- Development experience using Jupiter Notebooks, Databricks, Spark, Redshift, and ML technologies, i.e. Sagemaker
- Prior experience with Data Ingestion and Data Wrangling/Integration
- Prior experience leading Data Engineering projects and teams at an Enterprise level is required
- Prior pharmaceutical or biotech data and analytics experiences with familiarity of commercial Market Access data sets and processes
- Experience with agile ways of working
- Expertise in SQL and data analysis and experience with at least one programming language, preferably Python
- Expertise in Tableau
- Experience with AWS and key services, i.e. lambda, S3, Glue, IAM roles, EC2 etc.
- Strong knowledge of Redshift, Informatica, and/or Databricks highly preferred
- Problem solving mindset seeking fit-for-purpose solutions
- Seasoned developer or technical lead with strong curiosity for newest technologies and trends
- Experience with data formats including Parquet, Delta, and JSON
- Strong communication skills to help others embrace change
- Experience in Commercial Life Science Industry
Responsibilities
- Partner closely with stakeholders in the Market Access team to build a solid business acumen and develop a material understanding of the respective business strategy
- Co-develop Market Access data product strategy in close collaboration with stakeholders and leadership
- Responsible for data quality of Market Access data tables and data output
- Develop and own realistic, achievable product roadmaps
- Analyze business requirements, evaluate solution options, and facilitate business reviews
- Develop and maintain pipelines that meet business needs, adhere to Takeda standards, and incorporate best practices exploiting the benefits of cloud-nativity
- Lead technical solution reviews with stakeholders
- Directly support or coordinate with the help of DD&T SMEs complex data challenges to find fit-for-purpose solutions
- Take full accountability for Market Access specific data products and help plan, mature, and support such including for development and ongoing operation of KPI’s for quality and availability
- Work with DevOps teams to operationalize data products and help in troubleshooting when needed
- Co-design and proactively mature effective and modern data architectures (conceptual, logical, and physical models) within Takeda’s USBU and Global data ecosystem
- Lead and/or participate in the evaluation, implementation and deployment of emerging tools and processes including but not limited to analytics, data engineering, data quality, data governance, AI and GenAI
- Contribute to enterprise data architecture decisions and solutions
- Stay current with relevant data providers and technology trends
- Participate in communities of practice representing the Market Access team and DD&T
- Advise, consult, mentor and coach other data and analytic professionals
- Help adopt changes in solutioning and ways of working
Preferred Qualifications
- Master in Computer Science
- Additional Languages: R, Javascript
- Understanding of additional AWS services (i.e. Glue, Athena, etc.)
- Experience with any of the following Frameworks: Spring, Django, R Shiny, Tensorflow, MXNet
- Understanding or Application of Machine Learning and / or Deep Learning