For more than 170 years, Pfizer has continuously worked to make a difference by delivering innovative therapies that improve the lives of our patients. By building a talented community of colleagues that align with our patient-focused purpose and core values, Pfizer has improved global health and impacted more than 780 million patients around the world.
Why Patients Need You
All over the world, Pfizer colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of our business and our world. That's why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share our core values and mission of making the world a healthier place.
The Enterprise Data Solutions and Engineering (EDSE), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise - from global research and development, to manufacturing, to commercial, to patient care across over 100+ countries. One of the team's top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.
As a member of EDSE's Enablement and Governance team, a data engineer is responsible to architect, design and build data models, pipelines and products across various domains to power ML ops platforms, data driven applications and software and enable business intelligence solutions. This role will work with the business unit and digital leadership to understand the growing business needs and strategies where the application of AI and ML can yield new products and services and enhance existing processes. The colleague will provide the technical vision and strategy for developing a data mesh utilizing innovative semantic technologies to integrate cross-domain data products for human and machine-driven decisions.
The colleague will have the technical knowledge of data management, data modeling, and big data technologies while having in-depth scientific know-how to understand the data assets at play. Furthermore, His/her work will improve our data's quality, reliability, connectedness, and consistency by working with a taxonomer on ontologies and models to represent the broad scientific knowledge.
This role will be part of a team of engineers and product managers who are experts in architecture, design and data standards for multiple domains - Research & Development, Global Product Development, Commercial, Global Supply, HR and Finance. This position is a global role and will operate in a matrix environment.
Enterprise Data Solutions and Engineering has consistently innovated for Pfizer. This includes cloud solutions, SAAS solutions, open source, data science, mobile, and advanced analytics solutions.
How You Will Achieve It
Reporting to the Director - Team Leader for EDSE Data Governance and Enablement, this role will be responsible for the technical development and engineering of data products enabled for advanced data science modeling, chatbots, application, and BI visualizations.
Define business problems and opportunities
Own features and successful implementation from end to end: Designs and architect data solutions to support the development of AI/ML algorithms and prototypes
Collaborates with internal/external partners to design, build and deliver best-in-class data products roadmap globally
Understanding of event-driven data processing architecture
Promotes FAIR data principles and collaborates with Partner with Data Curator/Ontologists to ensure enhance the quality of the data products through human and/or automatic methods
Lead and influence other teams to adopt and leverage the best technology choices for machine learning, data exploration, and recommendation engines
Develops Prototypes to solve key business gaps and provide technical know-how to scale up these utilities for mainstream use by the broader scientific and business community
Anticipates emergent data type needs and stays current with cutting-edge technology
Contribute to a culture of high performance, innovation, and continuous improvement.
Demonstrate outstanding collaboration and operational excellence.
Applies analytical and problem-solving experience with large-scale platforms, infrastructure, and organizations
Professional Experience and Educational Requirements
7+ years of data engineering with specific experience in research and development
5+ years of engineering data products for AI, ML solutions, knowledge graphs and natural language processing
Bachelor's degree required, advanced degree strongly preferred, with a preference for advanced degree holders with a focus in strategy Computer Science, Software Development, Engineering
5+ years of related work experience as a partner with data science organizations with a strong preference of pharmaceutical industry
Experiences in digital product ownership, including ownership roles such as roadmap, evangelism, development, and lifecycle
Must have strong technical skills
Knowledgeable of cloud-based architectures, cloud analytics products/solutions, and agile methodologies to enable rapid cycles of development and release of analytics and data products/solutions (eg: AWS, Snowflake, Dataiku)
Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment
Extensive Experience with ontology development (RDF(S)/OWL, SPARQL, the Semantic Web or Frame based KR systems)
Extensive technical and implementation knowledge of data standards and data quality frameworks
Must show the ability to interact and influence all levels of a large digital organization
Understanding of Pharmaceutical R&D data; the ideal candidate would be able to work independently with the ability to prioritize activities
Exceptional verbal, written communication and organizational skills, along with interpersonal skills that allow for collaboration across a diverse group of people
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact
Professional and Leadership Characteristics
System Thinker: Orientation to connect across many problems and opportunities to build reusable assets across enterprise.
Influential Leader: Clearly articulates expectations, capabilities and action plans; actively listens with others' frame of reference in mind; confident decision making, readily shares information with team
Technical Depth: Deep technical capabilities AI/ML, data solutions and data lake ecosystems
Creative: Able to bring forth new ideas to improve our existing practices and takes calculated risks to innovate new capabilities within Pfizer Digital, with a focus on data products and analytics solutions
Strong Communicator: Able to clearly articulate complex topics and deliver persuasive arguments.
Self-starter: Demonstrates clear ability to be proactive and operate independently with minimal oversight.
Adaptable: Demonstrates flexibility in the face of shifting targets, thrives in new situations.
Ambiguity Tolerant: Successfully navigates ambiguity to keep the organization on target and deliver against established timelines.
Experimental / Risk Tolerant: Comfortable with experimentation, excited about trying new approaches, open to alternative methods of execution and delivery
Pioneering: Pushes self and others to think about new innovation and digital frontiers and ways to conquer them
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Occasional travel might be required
Work Location Assignment:Flexible
Other Job Details:
Last Date to Apply for Job: November 27th, 2022
Additional Location Information: Global, Any Pfizer Site; Global, Remote
Relocation assistance may be available based on business needs and/or eligibility.
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.
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