ROLE SUMMARY
Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.
As the Director, AIDA R&D AI & Data Solutions Engineering, you will lead and manage our R&D data solutions engineering team, driving the maturity and delivery of data solutions and engineering practices. Your technical expertise will be crucial in designing, developing, analyzing, and implementing innovative R&D data solutions. This may include data modeling and design, data architecture, metadata management, and configuration management. You will utilize your knowledge of data mapping, data mining, and data transformation to optimize data storage and processing requirements. Additionally, you will prepare system requirements, source analysis, process analysis, and design throughout the implementation process.
In this role, you will be a subject matter expert, leveraging your industry knowledge, understanding of customer requirements, and awareness of the general business environment to adapt and implement strategic actions for the division. Your ability to interpret and align with the division’s strategy will help establish business priorities and set long-term direction. Your managerial skills will be essential in leading people and managing technological and financial resources within the division.
Your leadership and focus will be instrumental in helping Pfizer achieve new milestones and make a significant impact on patients worldwide.
ROLE RESPONSIBILITIES
Lead and manage cross-functional data solutions engineering teams focused on R&D data. Set team objectives and manage high-complexity projects.
Incorporate feedback to improve team practices and resolve bottlenecks in R&D data workflows.
Own and mature a data solutions engineering roadmap using cloud-native technologies. Develop, mature and leverage existing foundational patterns for efficient delivery.
Collaborate with peers who are developers and engineers to ensure best practices and quick value addition.
Promote data security and compliance in line with pharmaceutical industry regulations.
Lead R&D Engineering center of excellence activities and oversee automation services delivery.
Design scalable solutions for user success in R&D. Review technical designs and provide strategic recommendations.
Oversee multiple data delivery projects from initiation to deployment. Develop timelines, evaluate risks, and communicate progress.
Define and influence project scope, goals, deliverables, and financial estimates that support business goals in collaboration with leadership, technical delivery team and stakeholders.
Collaborate with business stakeholders, data product managers, architects and development teams to develop the product strategy and roadmap that delivers the quality of data and actionable insights to business.
Establish a culture of high performance, transparency, and continuous improvement.
BASIC QUALIFICATIONS
Bachelor’s degree in computer science, Data Science, Engineering, or a related field (advanced degree preferred)
10+ years of experience in data engineering or data solutions, with a strong background in pharmaceutical enterprise data, particularly in R&D
7+ years of Strong people management experience, including mentoring and coaching engineers
Experience in overseeing large-scale and complex technical delivery over $5M+ in budget
Demonstrated experience of designing, supporting, and maintaining the data analytic platforms with deep expertise in data modeling, data governance, and data pipeline management principles
Excellent problem-solving and communication skills, with the ability to provide strategic recommendations and communicate progress and risks to senior management
Understanding of data security and compliance requirements in the pharmaceutical industry
Hands on experience leading and working as part of Agile teams, processes, practices, and DevOps
Proficiency in cloud-native technologies, data architecture, and engineering best practices
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.
PREFERRED QUALIFICATIONS
Master's degree in computer science, Data Science, Engineering, or a related field
Certifications: Relevant certifications such as AWS CertifiedSolutions Architect, Google Cloud Professional Data Engineer, or similar
Experience with cloud native data technologies: examples: Databricks and Snowflake
Knowledge of advanced analytics tools: Tableau, Power BI, or Spotfire.
Experience in a regulated industry: Beyond pharmaceuticals, such as finance or healthcare
Strong multi-discipline experience, with a preference for experience in technology strategy and management, management consulting and engineering
Experience working effectively in a distributed remote team environment.
OTHER INFORMATION
Selected candidate will need to meet Pfizer’s Log In for Your Day requirements.
Last Date to Apply for Job: 11/29/2024
Additional Posting Locations: New York City, NY, Groton, CT, Collegeville, PA and other US-based, on-site Pfizer locations may be considered.
Work Location Assignment: Hybrid
Relocation assistance may be available based on business needs and/or eligibility.
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. This position requires permanent work authorization in the United States.
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