Director – 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, Data Science (Squad Lead) is accountable for delivering data science driven strategic and tactical support across multiple brands and therapeutic areas (TAs), serving as the primary liaison to the Product Lead for the build and integration of new products. 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 of AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands’ strategies and tactics by coordinating the cross-functional build and deployment of bespoke AI/ML capabilities with the Data Strategy & Management, Applied Intelligence, Data Science Products (Engineering) and IIS teams, holding standing cross-TA accountability for deploying those capabilities across brands, and transitioning ownership to the TA Lead after the build phase.

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 for each deployment

• 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

• Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute

• Guide stakeholders via compelling and persuasive story

Cross-TA Deployment of Data Science Capabilities

• Hold standing, cross-therapeutic area (TA) accountability for deploying data science capabilities across multiple brands, on a 6–12 month rotation

• Coordinate the cross-functional build of each deployment with Data Strategy & Management, Applied Intelligence and Data Science Products (Engineering), with GCA IIS as a partner, and hand off to the Director, Team Lead post-build

• Serve as the direct counterpart to the Product Lead across every deployment, translating between the build teams and Commercial stakeholders

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

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

• 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

Here Is What You Need (Minimum Requirements)

• Applicant must have a bachelor's degree with at least 8 years of experience; OR a master's degree with at least 7 years of experience; OR a PhD with 5+ years of experience

• 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.

PHYSICAL/MENTAL REQUIREMENTS

None

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Limited business travel required

Work Location Assignment: Hybrid

The annual base salary for this position ranges from $162,900.00 to $271,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

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.

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

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