Lead Data Engineer - GIBU

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Job Description
Job title
Lead Data Engineer GIBU
About the Role
At Takeda, we share the belief that the speed of change will never be as fast as it is today. Takeda is uniquely positioned to participate in digital disruption rather than simply react. If you are passionate about helping organizations transform and build innovative capabilities, this is an exciting opportunity to be on the front line of a major transformational effort with business sponsorship. This individual will help shape and implement the vision across US stakeholders leveraging innovative data, digital, and technology solutions to support GI BU. Guided by modern, cloud-based technologies and applying best practices, they will closely collaborate with the DD&T and GI BU I&A teams to deliver and maintain effective solutions and help drive adoption.
How you will contribute:

• Partner closely with stakeholders in GI BU to build a solid business acumen and develop a material understanding of the respective business strategy
• Co-develop GI BU data product strategy in close collaboration with stakeholders and leadership
• 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 GI BU 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 GI BU and DD&T
• Advise, consult, mentor and coach other data and analytic professionals
• Help adopt changes in solutioning and ways of working

Required

• Undergraduate degree in a technical field such as computer science, data analytics or data engineering
• 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
• 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 key services, i.e. lambda, S3, Glue, IAM roles, EC2 etc.
• 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
• Must be a proactive, passionate individual with a strong drive to innovate, modernize, and continuously improve operations; not just an order taker but a forward-thinking problem solver eager to adopt new technologies and drive positive change.

Preferred

• Master in Computer Science
• Budget Management experience
• Prior pharmaceutical or biotech data and analytics experiences with familiarity of commercial data sets and processes
• Strong knowledge of Databricks is highly preferred
• 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
• Experience in a scientific environment.

Takeda Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
Massachusetts - Virtual
U.S. Base Salary Range:
$137,000.00 - $215,270.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations
Massachusetts - Virtual
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Exempt
Yes
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