Director, Data Science

ROLE SUMMARY

Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizers 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 patients 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

• Peoples Manager: Manage a team of individuals and guide them on data science problem solving and storytelling.

• 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

• Bachelors degree required ideally in quantitative discipline like engineering or data science and 8 years of work experience

• Or PhD Degree in a relevant field with good publication/research record and 5 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.

NON-STANDARD WORK SCHEDULE TRAVEL OR ENVIRONMENT REQUIREMENTS

• Limited business travel required

Other Job Details:

Last day to apply: May 21 2026
Work Location Assignment:Hybrid

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN O-1 H-1B etc.) is not available for this role now or in the future.