Manager, Data Solution Specialist

hace 2 semanas

Ciudad de México Pfizer A tiempo completo

Role Summary

Pfizer has established a chief digital office which will lead the transformation of Pfizer into a digital powerhouse that will generate superior patient experiences that will result in better health outcomes. If you thrive in a fast-paced environment that brings together scientific, clinical, manufacturing and commercial domains together through data and analytics then join the Artificial Intelligence, Machine Learning, Advanced Analytics and Data COE. Our collection of data scientists, business analysts and engineers are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data and advanced analytics to change patient’s lives.

Role Responsibilities-
- Serve as the interface between business data users, analysts/ scientists, and engineers to create high value, enterprise grade data products- Lead a cross functional data product development, deployment, and continuous improvement process through collaboration with a diverse team- Liaise with senior leaders to obtain buy-in and funding to develop innovative products**Qualifications**:
- 3-5 years of work experience managing a diverse range of data integration, analytics, and software projects-
- Familiarity with various data storage paradigms including relational, unstructured, and graph and their associated use cases- Experience with a wide array data science tools, methods, and platforms (Dataiku, Tableau, jupyter notebooks, etc.)- Demonstrated ability to work effectively across cultures and to connect and engage with colleagues at all levels of the organization including the shop floor and the Pfizer leadership- Demonstrated ability to make decisions quickly; shift direction with just enough information; and operate effectively in gray areas- Demonstrated collaborative, consultative, problem solving, prioritization skills- Demonstrated ability to simplify complex ideas for leadership and secure buy-in for innovative ideas- Demonstrated experience educating and enabling analyst communities through continuous engagement

Basic qualifications- Bachelor’s degree in Computer Science, Engineering, Life Science, Information Systems or related discipline- Understanding of agile project approaches and methodologies (SAFE)- Highly self-motivated to deliver both independently and with strong team collaboration.- Ability to creatively take on new challenges and work outside comfort zone.- Strong written and oral communications along with presentation and interpersonal skills.- Strong aptitude for learning new technologies and analytics techniques.

Preferred qualifications- Experience with leading projects (data integration, software, analytics) in a cloud-based ecosystem (AWS, Snowflake, etc)- Previous experience within life sciences analytics or data organizations- Knowledge of life sciences global availability and useability of data: public/ open source/ internal, RWD, manufacturing, commercial etc.- Hands on experience working in Agile teams, processes, and practices- Experience working in a regulated environment i.e. SOX, GXP and life science related privacy and compliance implications-
- Experience with data governance processes including data cataloging according to FAIR principles and the creation of ontologies/ taxonomies

Non-standard work schedule and travel
- A maximum of 20% travel to other Pfizer locations
- Ability to work non-traditional work hours on a constant basis interacting with remote teams spanning across the different regions (eg: Europe, AfME, Asia)

Work Location Assignment: Flexible

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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