Senior Manager Data Science, Business Analytics & Insights, India

Key Skills

Java Programming, Leadership, Python Programming, SQL, Big Data Technology, Machine learning techniques, Data science techniques, Data Visualization, R Programming, Statistics, Powerpoint

Job Description

Business Analytics & Insights (BAI) 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, BAI’s 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 person in this role is accountable for delivering data science-driven strategic and tactical support in India. As a strategic partner to Commercial and Medical team, this person will develop and implement models and data-science derived insights that directly influence and transform most critical questions across the business

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

As a Senior Manager Data Scientist, the person in this role will work closely with the Data Science COE and shape the industrialization of bespoke AI/ML models, that directly impact the working models of other members of the BAI Data Science Team.

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 and Medical Data Science and Insights

• Provide data science and insights to Country Commercial and Medical 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 and Medical brand strategies and tactics
• Interface with Omnichannel-operations on execution and data science bespoke analytical needs
• Connect machine learning models and insights together to identify Medical and Commercial brand opportunities and tactics to execute
• Guide Medical and Commercial brand teams via compelling and persuasive story and deliver clear and actionable brand tactic recommendations
• Track and analyze impacts of Medical and Commercial brand strategies and tactics using dashboards and data products

Collaborate with Data Science COE

• Partner with Data Science COE to develop bespoke AI and machine learning models; Configure pre-built models and interpret updated results
• Ensure alignment with Data Science COEs teams to ensure cohesive activities with stakeholders

Collaboration with other BAI and Analytics teams

• Partner with BAI market lead to incorporate and prioritize data science insights into analytics plans and recommendations
• Contribute to the advancement of BAI data science and consulting capabilities; seek to share knowledge and expertise with other colleagues making use of knowledge sharing platform
• Partner with other analytic functions to advance the use of novel data sources, including RWD

QUALIFICATIONS

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 BAI 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

Exceptional 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

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, Medical, Operations) to execute brand tactics
• Proven 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
• Ability to be flexible, prioritize multiple demands and deal with ambiguity
• 4+ years experience in business analytics or data science function, country strategy and/or strategic consulting
• 5+ years of work experience
• Experience using data science models to solve problems in a business environment setting 

Education

• Bachelor’s degree required, ideally in quantitative discipline like engineering or data science; also advanced degree preferred in business administration, statistics, or other relevant field

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Limited business travel required

OTHER INFORMATION

ORGANIZATIONAL RELATIONSHIPS

• Business Analytics & Insights Data Science Team
• Close interactions with Data Science COE teams
• Commercial Leadership Teams
• Brand Marketing Teams
• Omnichannel Operations