Senior Manager Advanced Analytics Cloud
vor 4 Wochen
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines.
Job Summary:We are seeking a Senior Manager Advanced Analytics Cloud to lead our central Advanced Analytics team at the Abbott Established Pharma Division's (EPD) headquarters in Basel. The successful candidate will be responsible for developing, running and continuously refining an easy-to-use, modern and lean/cost-effective cloud engineering for Abbott EPD.
Key Responsibilities:- Develop, run and continuously refine an easy-to-use, modern and lean/cost-effective cloud engineering for Abbott EPD, together with a team of data and solution architects and MLOps experts.
- Help market and communicate the value proposition of the cloud environment to both key business and technical users. Drive adoption and broaden usage of cloud environment within EPD and Abbott.
- Understand key priorities of the business in terms of smart automation and advanced analytics scope- Ability to translate these needs into requirements for the cloud platform and implement these in an efficient, compliant, scalable and cost-effective manner.
- Define and implement required standards within EPD in collaboration with key stakeholders such Data privacy, Cyber Security and Compliance to ensure compliant data activities end-to-end.
We are looking for a highly experienced and skilled professional with a strong background in cloud and solutions architecture, data analytics and machine learning. The ideal candidate will have:
- At least 6-8 years of relevant working experience, ideally in pharma environment.
- Team management experience in the area of cloud and solutions architecture.
- Strong architectural skills to enable modern, lean scalable cloud structures.
- Experience in working with and leading external teams to help implement solutions.
- Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets.
- Strong experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
- Strong understanding of Information Security principles to ensure compliant handling and management of data.
- High proficiency in at least one programming language – Javascript, Python, Scala or Java.
- Strong experience and interest in Cloud platforms (preferably AWS) and all its services and ecosystem.
- Strong experience in traditional data warehousing / ETL tools.
- Proficiency in architecting, building and maintaining cost-efficient and scalable cloud environments.
- Ability to understand business and create cloud-bases solutions to fill those objectives.
- Result-driven, be an analytical and creative thinker.
- Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus.
- Fluency in English a must, additional languages a plus.
Through numerous local, national and international accolades, Abbott is regarded as an employer of choice for our commitment to workplace excellence. Our employees are given the tools to succeed, lead and grow, with challenging opportunities and work that makes a difference. Through our diverse healthcare businesses, we connect people and potential in ways that no other company can. Discover a world of opportunities at Abbott.
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