Director Team Lead, Data Science
ROLE SUMMARY
Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization.
The Director (T/L), Data Science is accountable for delivering data science driven strategic and tactical support for multiple brands. As a strategic partner to the US Commercial team, this person will develop and implement models and data-science derived insights that drive brands’ strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands’ strategies and tactics by interfacing closely with Data
Science Solutions team to develop bespoke AI/ML models to meet evolving needs and will also interface closely with sales-operations to drive execution.
This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.
ROLE RESPONSIBILITIES
Role definition and key accountabilities include, but are not limited to:
Commercial Data Science and Insights
Provide data science and insights to US Commercial teams to drive brand tactic decisions
Act as strategic partner to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial brand strategies and tactics
Lead a team of Data Scientists and manage their career development.
Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute
Guide stakeholders via compelling and persuasive story
Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions.
Collaboration with other GCA and Analytics teams
Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations
Ensure alignment across GCA Data Science teams and Data Science Solutions teams to ensure cohesive activities with our stakeholders
Partner with other analytic functions to advance the use of novel data sources, including RWD
PROFESSIONAL CHARACTERISTICS
Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization
People’s Manager: Manage a team of individuals and guide them on data science problem solving and story telling.
Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights
Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others
Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork
Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines
Self-Starter: Eager to take on new responsibilities and opportunities
Technical Skills
Fluent in English (written and spoken)
Strong MS Excel and PowerPoint skills
Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques
Experience in understanding brand content, strategy, and tactics
Ability to effectively utilize dashboards and data products to derive insights
Understands quantitative and qualitative research methodologies
Experience in management of secondary data with application of real-world data
Ability to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics
Ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question
Education and Experience
Bachelor’s degree required, ideally in quantitative discipline like engineering or data science
Or PhD Degree in a relevant field with good publication/research record and 5+ years of work experience
10+ years of work experience
7+ years experience in business analytics function, country strategy and/or strategic consulting
Experience using data science models to solve problems in a business environment setting
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.
Other Job Details:
Work location: Flexible; 2-3 days onsite/week
Last Day to Apply: June 16, 2025
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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