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.
As a Data Solution Specialist Manager you will be part of the Enterprise Data Solutions and Engineering team charged with designing, deploying, and continuously improving high quality, enterprise grade data products that power both advanced analytics/AI/ML and key business applications. You will engage with the analyst/ data science community to maximize the usefulness of our data and enable discovery, understanding and use of our key data products. You will be a member of a global team helping to progress commercial go-to-market strategies.
Work with stakeholders across the organization to understand reporting, analytic, and application data needs
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
Maximize usability of assets through the creation of enablement and education of analyst/ data science/ application owners
5+ years of work experience managing a diverse range of data integration, analytics, and software projects
Deep understanding of analyst and data science needs as it pertains to data availability, access, pipelining and AI/ ML applications
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
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.
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
Demonstrated ability to solve business problems through the collection of data and application of AI/ ML principles
Experience with data governance processes including data cataloging according to FAIR principles and the creation of ontologies/ taxonomies
Non-standard work schedule, Travel or Environment requirements
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)
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Information & Business Tech#LI-PFE
Pfizer is a leading research-based biopharmaceutical company. We apply science and our global resources to deliver innovative therapies that extend and significantly improve lives. We make medicines and vaccines that help people when they are sick and prevent them from getting sick in the first place. Every day, our colleagues work in developed and emerging markets to ...