Pfizer has established a chief digital office which will lead the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences that will result in better health outcomes.
The Analytic Tools and Platforms team, which is part of Analytics, Data & Learning org within the Chief Digital Office is responsible for the development and management of all data and analytic tools and platforms across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
In this role, we are looking for frontrunners to carry product mindset in developing and driving adoption of Data as a Product capabilities.
You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, engineers & architects from different functions and senior Pfizer stakeholders in shaping the future of data operations.
• Plan the core of data hub platform by assessing the types of use cases, processing flexibility and delivery mode that stakeholders require.
• Lead the data design of large-scale programs; translate high-level business requirements into data fabric and its flow into enterprise applications with adequate metadata and quality standards.
• Work with senior Digital stakeholders to secure strong engagement for the design and ensure that the delivery of the programs align to longer-term strategic roadmap.
• Identify quantifiable success criteria for data use-cases that span multiple business functions. Directly connect the success criteria to the data assets that enable them.
• Manage and maintain the curated datasets as code. Continuously test the data with embedded scripts for quality degradation, bugs, incidents and ensure SLA.
• Accelerate collaboration between mandatory data owners and consumers through cataloging and review processes.
• Work with the platform team and make metadata seamlessly flow across all downstream tools.
• Define and own a common data property model that includes key types of data quality checks.
• Implement integrated and reusable data pipelines compliant with security and regulatory requirements.
• Drive implementation and automation of ecosystem capabilities by working in close partnership with data owners and Pfizer Digital teams.
• Closely collaborate with the domain specific data teams to govern the local versus central datasets ownership.
• Conceptualize and implement big data infrastructure and services required to operationalize the data fabric.
• Enforce stable/consistent as well as variant/context-specific semantics across multiple data and analytics settings.
• Play an evangelist role in bringing adoption towards a common data hub.
• Partake in technology partners’ customer advisory board and advance data tools vision.
BASIC REQUIREMENTS
• BS in Computer Science or an engineering field
• Masters preferred or equivalent experience in information management systems
• Minimum 10+ years of software development, testing, and technology or product management experience in the field of Data & Analytics
• Minimum 5+ years of data product management experience to deliver an unparalleled data engineering/design
• Solid understanding of data mesh principles
• Experience driving product management for an enterprise platform
• Extensive engineering, product development leadership and stakeholders’ management
• Strong experience with popular database programming languages including SQL, PL/SQL, others for relational databases
• Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
• Strong experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
• Basic experience in working with data governance/data quality and data security teams
• Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques
• Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines
Additional Job Details
• Last day to apply: May 11, 2021
• Referral Bonus Eligible ​
Sunshine Act
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.
Information & Business Tech #LI-PFE
Job Type: Full time