Senior Manager, BI Modeling and Dashboard Design
Pfizer is hiring a Senior Manager, BI Modeling and Dashboard Design in Mexico City, Mexico. Level rates it ; you can apply on Level.
AI in this role
Design and govern scalable business intelligence dashboards, data models, and ETL pipelines to support commercial performance analytics.
Work Location Assignment: Mexico City, must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business
ROLE SUMMARY
The Senior Manager, BI Modeling & Dashboard Design transforms data into actionable insights by designing, building, and governing scalable business intelligence dashboards that establish durable internal analytics capability. This role owns BI modeling decisions, visualization standards, data integrity, and stakeholder adoption across recurring commercial performance reporting. The role operates within Performance Analytics and Insights (PAI), part of Global Commercial Analytics (GCA), supporting commercial decision-making through robust, executive-ready analytics solutions.
ROLE RESPONSIBILITIES
Dashboard Design & Development - Design, build, and maintain dashboards using Tableau and/or Power BI to support recurring commercial performance reporting. Translate ambiguous stakeholder needs into structured dashboard solutions and clear visual narratives. Own end-to-end dashboard development including data modeling, calculated logic, and visualization design. Ensure dashboards are intuitive, executive-ready, and focused on driving decisions rather than displaying data.
Data Integration & ETL - Develop and maintain SQL logic for data extraction, transformation, and validation. Integrate multiple data sources including cloud data warehouses (e.g., Snowflake), flat files, enterprise systems, and APIs. Partner with data engineering or platform teams to support reliable data pipelines and refresh processes. Implement validation checks, reconciliation logic, and refresh monitoring.
Governance, Standards & Quality - Define and enforce BI architecture and visualization standards. Establish governance practices for dashboard access, versioning, and documentation. Stabilize existing reporting dashboards and maintain their sustainability. Ensure dashboards meet performance, scalability, reliability, and long-term maintainability expectations.
Leadership & Collaboration - Act as the technical and architectural point of contact for BI and dashboarding within PAI. Advise and mentor supporting analysts and reporting staff on BI best practices and standards. Partner with PAI analytics colleagues and business stakeholders to prioritize work and manage delivery timelines. Balance competing reporting demands while maintaining quality, governance, and architectural integrity.
BASIC QUALIFICATIONS
• Bachelor’s degree in analytics, information systems, engineering, statistics, business, or related quantitative field
• 7+ years of experience in business intelligence, data visualization, or analytics delivery
• Demonstrated ownership of end-to-end dashboard development supporting operational or commercial decision-making
• Hands-on experience developing dashboards in Tableau/Power BI and building lightweight analytical web applications or interactive reporting tools using Python-based frameworks (e.g., Streamlit) or component-based front-end technologies (e.g., React).
• SQL capability for data extraction, transformation, and validation
• Experience integrating multiple data sources and working with structured datasets
• Implementation of validation checks, reconciliation logic, and refresh monitoring
• Experience documenting metric logic and business rules
• Familiarity with access control, versioning, and auditability within BI platforms
• Professional written and verbal English suitable for direct engagement with U.S. business stakeholders and senior leaders
• Ability to explain data logic, assumptions, and insights in clear business language
• Confidence presenting dashboards and recommendations in working sessions or leadership reviews
• Experience working on cross-functional teams pursuing multifaceted analytics initiatives
PREFERRED QUALIFICATIONS
• Master’s degree in analytics, information systems, engineering, statistics, business, or related quantitative field
• Advanced Tableau and/or Power BI capabilities including data modeling, calculated fields, DAX or equivalent logic, and performance optimization
• Hands-on experience deploying Streamlit applications or React-based dashboards to support internal analytics use cases, including integration with back-end data sources such as Snowflake or cloud APIs
• Understanding of semantic layers and scalable BI architecture
• Knowledge of performance tuning, incremental refresh strategies, and large-scale dataset handling
• Experience working with enterprise data platforms or cloud data warehouses (e.g., Snowflake)
• Exposure to ETL tooling, data pipelines, or workflow orchestration supporting BI use cases
• Familiarity querying and modeling data in Snowflake to support scalable BI and reporting layers
• Pharmaceutical, healthcare, or commercial analytics experience
• Understanding of sales, market access, patient journey, or field force KPIs
• Experience supporting global or U.S. commercial organizations from near-shore teams
• Establishment of visualization standards, documentation frameworks, and reusable templates
• Demonstrated delivery of efficiency gains, cost reduction, or decision-speed improvement through BI
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Up to 10% travel required for periodic meetings
Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
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.
Marketing and Market Research
How we rate this
Senior Manager, BI Modeling and Dashboard Design at Pfizer rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where bi modeling was part of your work. What did you do?
- Tell me about a project where dashboard design was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data integration was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Bi Modeling, Dashboard Design, ETL, Data Integration, and Data Governance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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