Senior Manager, Data Science & Analytics

5-7 years

$120,800.00 to $201,400.00 annually

United States

10 Jan. 24, 2025

Job Description

Job Type: Full Time Education: B.Sc,M.Sc,B.Pharma,M.Pharma,LifeScience Graduates Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Senior Manager, Data Science & Analytics
Location:

United States – Washington, Bothell
United States – New York, New York City
Mexico – Mexico City
United States – California, San Francisco
United States – California, San Diego
United States – Illinois, Chicago
United States – Massachusetts, Boston
Employment Type: Full-time
Posted: 1 Day Ago
Job ID: 4927125
Application Deadline: Ongoing

Role Overview:

The Senior Manager, Data Science & Analytics is responsible for driving data-driven insights to support commercial strategy, brand planning, and operational effectiveness within Pfizer’s Oncology Commercial Analytics team. This role involves advanced data analysis, model implementation, and collaboration with cross-functional teams to ensure data is leveraged effectively for business-critical decisions. The Senior Manager will manage various data assets, including claims, sales, and specialty pharmacy data, to inform and guide the strategic direction of the oncology franchise.

Key Responsibilities:

Data Analysis and Insights Generation:

Advanced Analytics: Develop and implement advanced analytics models using techniques such as machine learning, predictive modeling, and statistical analytics to derive insights into customer behavior, market trends, and product performance.
Secondary Data Analysis: Leverage external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights addressing key business questions.

Data Management and Governance:

Data Asset Management: Collaborate with Commercial Information Management and data governance teams to ensure proper stewardship of data assets and the integration of new data to enhance decision-making.
Data Quality & Consistency: Ensure the quality, accuracy, and timeliness of data used for analysis by working closely with IT, Marketing, and cross-functional teams.
Data Sourcing: Work with the Director of Oncology Data Enablement to assess and identify relevant commercial data sources for analytics projects.

Targeting and Segmentation:

Customer Segmentation: Apply advanced data science techniques to create customer segmentation strategies that optimize marketing and sales team targeting and resource allocation.
Engagement Optimization: Analyze customer behavior and market data to develop insights that improve engagement strategies.

Brand Performance and Market Insights:

National-Level Reporting: Develop and maintain national-level brand performance reports, providing insights into market trends, competitive dynamics, and product performance.
Launch Support: Provide analytical support for product launches, including market analysis, competitive intelligence, and performance tracking.
Operational & Market Effectiveness: Analyze data to inform operational and market effectiveness, supporting optimization of marketing and sales operations.
Reporting & Dashboards: Create and manage executive-level reports and dashboards, effectively communicating key performance indicators (KPIs), market trends, and insights to decision-makers.

Cross-Functional Collaboration & Stakeholder Engagement:

Cross-Functional Partnership: Collaborate with Marketing, Market Research Insights, Forecasting, Finance, and other teams to integrate data insights into broader strategic initiatives.
Stakeholder Communication: Present complex analytical insights to senior leadership, translating data into actionable recommendations that drive business decisions.

Innovation and Continuous Improvement:

Process Improvement: Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance efficiency and accuracy.
Emerging Trends: Stay updated on industry trends and new data science techniques, integrating innovative approaches into data analysis.

Vendor and Resource Management:

Vendor Collaboration: Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights.
Budget and Resource Allocation: Work with Data Science & Analytics leadership to manage budgets and allocate resources effectively.

Basic Qualifications:

Education: Bachelor’s degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or related field.
Experience: Minimum of 7+ years in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical/biopharmaceutical industry. Post-graduate education may substitute for part of the work experience requirement.
Technical Skills: Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms like Tableau and Power BI.
Cross-Functional Experience: Proven ability to work with marketing, sales, IT, and other teams to integrate data insights into commercial strategies.
Leadership: Demonstrated leadership capabilities, including the ability to influence peers, mentor others, and guide teams to achieve meaningful business outcomes.

Preferred Qualifications:

Oncology Expertise: Experience in oncology, with a strong understanding of market dynamics, customer behavior, and competitive trends.
Advanced Technical Skills: Experience with machine learning and predictive modeling techniques is highly desirable.
Advanced Degree: MBA or related advanced degree preferred.

Skills and Competencies:

Analytical Mindset: Strong problem-solving and analytical skills with the ability to develop data-driven solutions.
Strategic Thinking: Ability to translate complex data into actionable insights that drive business decisions.
Communication: Excellent verbal and written communication skills for presenting data insights to leadership and cross-functional teams.
Project Management: Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.

Compensation & Benefits:

Salary Range: $120,800.00 to $201,400.00 annually
Bonus: Eligible for Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary.
Benefits: 401(k) plan with Pfizer matching contributions, paid vacation, holidays, medical, dental, vision coverage, paid caregiver/parental leave, and more.
Relocation Assistance: Available based on business needs and eligibility.

Equal Opportunity Employer:

Pfizer is committed to equal opportunity employment, adhering to all applicable nondiscrimination laws and work authorization requirements.

Job Category: Marketing and Market Research

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