Senior Manager Data Science

About this role

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 Senior Manager, Data Science, GCA is accountable for delivering data science-driven strategic and tactical support for an assigned US brand. As a strategic partner to the US Commercial teams, 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 interfacing closely with Data Science COEs to develop bespoke AI/ML models to meet evolving needs, and interface closely with omnichannel 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 BAI 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 a strategic partner to frame, investigate, translate complex data-related models, and answer key business questions related to the identification and evaluation of Commercial and brand strategies and tactics. • Partner with Sales and Marketing Leadership to support sales force execution. • Integrate DS capabilities with commercial decision-making processes, explain complex models, translate observations into actionable insights, and find business impact. • Guide stakeholders via compelling and persuasive storytelling. • Strengthen the Brand and Sales teams' understanding of marketplace performance and opportunities by analyzing the impacts of brand strategies and tactics and partnering on data product solutions. • Utilize data-driven insights to identify new opportunities and optimize existing strategies, supporting commercial strategy and opportunity creation. • Deliver strategic and tactical support for multiple US brands as needed, acting as a subject matter expert.

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 ca n 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 e ffective 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 • 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

Basic Qualifications • 6+ years of work experience with a BA/BS • Proven track record of leveraging data science to address strategic business challenges. • Experience using data science models to solve problems in a business environment setting  • Experience leading cross-functional projects and managing stakeholder relationships at senior levels. • Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques • Experience in understanding brand content, strategy, and tactics • 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, Insights, Operations)

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