Pfizer
Sr. Manager, Data Solutions Engineer
Pfizer, Collegeville, Pennsylvania, United States, 19426
Sr. Manager, Data Solutions EngineerROLE 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.
You will help us build and manage R&D data solutions while leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This will include working on data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will leverage your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will be relied on to determine data storage and optimum storage requirements. You will prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.
As a Lead Data Solutions Engineer, your advanced knowledge of the principles and concepts in the discipline, along with comprehensive knowledge of other disciplines, will enable you to lead complex projects across the division. Your ability to develop and manage plans will facilitate achieving objectives, interpreting internal and external business challenges, and recommending best practices for improvements. While managing complex project environments, you will be able to anticipate and troubleshoot roadblocks and influence teams to achieve targets for the division.
It is your hard work and focus that will help Pfizer achieve new milestones and help patients across the globe.
ROLE RESPONSIBILITIES
Design, develop, lead, and deliver projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes.
Partner with other Pfizer Digital teams to define and execute technology-focused Proof of Concepts (POCs) using innovative technologies to advance Pfizer’s current capabilities.
Engage with business stakeholders to help lead the prioritization of business requirements while identifying opportunities for technical synergy.
Develop technical solutions aligned with business requirements across the Pfizer AIDA R&D organization.
Work collaboratively with Platform teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design.
Partner with the AIDA solutions architecture team to ensure solutions are delivered with long-term viability in the forefront.
Ensuring compliance with regulatory requirements and Pfizer software development lifecycle standards.
ADDITIONAL KEY RESPONSIBILITIES
Data Architecture: Oversee the design and implementation of scalable data architectures.
Data Quality: Ensure data accuracy and integrity across all systems.
ETL Processes: Design and manage ETL processes to support data integration and analytics.
BASIC QUALIFICATIONS
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.
Education: Bachelor's Degree.
7+ years of experience with data or software engineering.
Demonstrated success embedding algorithms in production applications.
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.
Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data.
Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights.
Proven experience engineering end-to-end data solutions which cut across data acquisition, data lakes, web-based analytical solutions.
Strong collaboration and communication skills within and across teams.
Ability to work independently and as part of a team.
PREFERRED QUALIFICATIONS
Master's degree.
Relevant pharmaceutical industry experience.
Graduate degree in either a technical or management discipline.
Management consultant experience.
Knowledge of the pharmaceutical industry, preferably within Research and Development.
OTHER INFORMATION
Selected candidate will need to meet Pfizer’s Log In for Your Day requirements.
Last Date to Apply for Job: 11/28/2024
Relocation assistance may be available based on business needs and/or eligibility.
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.
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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.
You will help us build and manage R&D data solutions while leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This will include working on data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will leverage your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will be relied on to determine data storage and optimum storage requirements. You will prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.
As a Lead Data Solutions Engineer, your advanced knowledge of the principles and concepts in the discipline, along with comprehensive knowledge of other disciplines, will enable you to lead complex projects across the division. Your ability to develop and manage plans will facilitate achieving objectives, interpreting internal and external business challenges, and recommending best practices for improvements. While managing complex project environments, you will be able to anticipate and troubleshoot roadblocks and influence teams to achieve targets for the division.
It is your hard work and focus that will help Pfizer achieve new milestones and help patients across the globe.
ROLE RESPONSIBILITIES
Design, develop, lead, and deliver projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes.
Partner with other Pfizer Digital teams to define and execute technology-focused Proof of Concepts (POCs) using innovative technologies to advance Pfizer’s current capabilities.
Engage with business stakeholders to help lead the prioritization of business requirements while identifying opportunities for technical synergy.
Develop technical solutions aligned with business requirements across the Pfizer AIDA R&D organization.
Work collaboratively with Platform teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design.
Partner with the AIDA solutions architecture team to ensure solutions are delivered with long-term viability in the forefront.
Ensuring compliance with regulatory requirements and Pfizer software development lifecycle standards.
ADDITIONAL KEY RESPONSIBILITIES
Data Architecture: Oversee the design and implementation of scalable data architectures.
Data Quality: Ensure data accuracy and integrity across all systems.
ETL Processes: Design and manage ETL processes to support data integration and analytics.
BASIC QUALIFICATIONS
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.
Education: Bachelor's Degree.
7+ years of experience with data or software engineering.
Demonstrated success embedding algorithms in production applications.
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.
Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data.
Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights.
Proven experience engineering end-to-end data solutions which cut across data acquisition, data lakes, web-based analytical solutions.
Strong collaboration and communication skills within and across teams.
Ability to work independently and as part of a team.
PREFERRED QUALIFICATIONS
Master's degree.
Relevant pharmaceutical industry experience.
Graduate degree in either a technical or management discipline.
Management consultant experience.
Knowledge of the pharmaceutical industry, preferably within Research and Development.
OTHER INFORMATION
Selected candidate will need to meet Pfizer’s Log In for Your Day requirements.
Last Date to Apply for Job: 11/28/2024
Relocation assistance may be available based on business needs and/or eligibility.
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.
#J-18808-Ljbffr