Sr. Manager, Data Science & AI

The Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape.  We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.

We are looking for a Sr. Manager, Data Science and AI who will be responsible for collaborating with CMO & BT leadership in shaping International AI roadmap, will be part of a DS &AI team designing, delivering, and upgrading innovative global capabilities and driving AI fluency in the anchor markets ( majorly EU ).

This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.

This role is dynamic, require consulting experience to drive AI transformation to a fast-paced international commercial organization and should stay 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 driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.

Roles & Responsibilities 

• Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics for BT/CMO & ICDLT.
• Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. 
• Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret.
• Continuously evaluate and enhance existing data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI.
• Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making.
• Drive AI adoption and thought partner for innovation.

Collaborate Cross-Functionally as an International Business Focused AI POD

• Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution , Market Research Insights counterparts, In market DS  to develop and execute a comprehensive analytics solution for both local & international markets.
• Deliver consolidated insights and actionable recommendations to International Commercial teams, ensuring alignment with strategic objectives and insights finding.
• Represent data science function and capabilities in Analytic meetings.
• Work closely with cross-functional teams to ensure seamless integration of business analytics insights into decision-making processes and strategic initiatives.

Innovative Data Science Capabilities

• Support the design, delivery, and scaling of innovative solutions across the organization – from pilot phases to full-scale implementation.

• Collaborate on the delivery process, leveraging agile methodologies and best practices to efficiently progress from pilot projects to scalable solutions, while maintaining a focus on quality and innovation.
• Actively participate in upgrading and refining capabilities based on feedback and insights gathered during pilot phases, continuously enhancing the effectiveness and relevance of implemented solutions.
• Play a key role in the organizational transformation by facilitating the adoption of new capabilities at scale.

Cross-Functional Collaboration

• Work closely with CMO, BT, Digital, in country DS and IIS colleagues to deliver smooth scalable projects withing GCA.
• Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
• Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively.
• Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making.

QUALIFICATIONS

• Minimum of bachelor’s degree with strong relevant experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.
• Advanced degree with some relevant experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, MBA or related field preferred.
• Experience using data science models to solve problems in a business environment setting.

Relevant Experience

• Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular.
• Experience in understanding brand content, strategy, and tactics.
• Ability to effectively utilize dashboards and data products to derive insights.
• Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.
• Experience in management of secondary data with application of real-world data.
• Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
• Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics.
• Able 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.
• Ability to be flexible, prioritize multiple demands and deal with ambiguity.

PROFESSIONAL CHARACTERISTICS

• Growth Mindset: Evaluates, understands and communicates the impact of certain data insights across the business and works to assist business partners foresee potential strategic changes.
• 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 CAAI can provide value to the organization.
• Strong Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights.
• Strong 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.
• Relationship Manager: Acts as a thought partner and brings forward recommendations/questions that influences stakeholders; builds robust and long-term strategic relationships with individuals from all levels of the organization, understanding individual goals and objectives to ensure future alignment of the entire portfolio.
• Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork.
• Strong Project Manager: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in.
• Proactive Self-Starter: Takes an active role in one’s own professional development; stays abreast of analytical trends, and cutting-edge applications of data.

 
Work Location Assignment: Hybrid (some office presence is required)

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

DisAbility Confident

We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!