ROLE SUMMARY

The Revenue Management(RM) Digital Solutions team manages technology strategy and delivery for the Pfizer’s Commercial Business Units, the Global Access and Value (GAV) organization and Pfizer Commercial Finance teams. The team plays a critical role in ensuring Patients can easily access Pfizer’s breakthrough medicines through contracting opportunities with Payer and Providers.

This role will be responsible to configure, maintain and enhance a strategic technology platform and related reporting dashboards that support market access pre-deal analytics, post-deal analytics and broader performance reporting. These web-based tools are used by Market Access Strategy, Pricing and Analytics (MASPA) teams that are responsible for payer and provider contract analytics. The candidate will be accountable for finding the most effective ways for technology to support Pfizer’s business objectives in these domains and optimize the return on all technology investments.

The ideal candidate would be someone with strong technical skill on Data management tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Python, Airlflow, Dataiku AI/ML tools.

This role will work closely with functional and technical leads and become a subject matter expert with solutions to identify, develop, and deploy processes and reporting. The role will create analytic solutions, and utilize data prep and visualization platforms.

ROLE RESPONSIBILITIES

• Work within project teams as a contributor to design, prototype, implement and test solutions in support of the project objectives

• Works with product owners to prioritize features for ongoing sprints and manages a list of technical requirements based on business needs, new technologies, known defects, and issues.

• Develops application design and documentation for the management and executive teams

• Focus on growing as an engineer, learning existing tools, resources and processes. 

• Proactively reporting issues and enhancements.

• Assisting the technology, systems and process workstreams to define the shared data model vision, data sourcing, data transformation and data loading approach.

• Coordinating across many stakeholders, creating a collaborative network with critical internal and external stakeholders.

• Identify areas of risk due to requirements and surface to the project manager

• Can work independently under close supervision, including making recommendations without significant oversight.

• Debugging and fixing simple to moderately complex technical issues.

You will have the opportunity to:

• Demonstrate a solid ability to tell a story with simplistic views of complex datasets

• Will be an integral part of developing best-in-class solution for the GAV organization

• Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools

• Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs

• Partner with the Digital Client Partners to align on priorities, processes and governance

Basic Qualifications

• Bachelor’s degree in computer science, software engineering, or engineering related area

• 3+ years of relevant experience emphasizing data modeling, development, or systems engineering including at least 1+ years with a data visualization tool (e.g. Tableau, Power BI)

• 1+ Years of experience in any databases: (e.g.MySQL, SQL, Aurora DB, Snowflake)

• Demonstrated capabilities in integrating and analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns.

• Demonstrated skills with AWS services, Snowflake, Airflow, Tableau, Python and Dataiku

• Experience in DevSecOps tools JIRA, GitHub and CI/CD tools is a plus

• Understands modern software engineering, including coding standard, code reviews, source control management, build processes, testing, and releasing.

• Basic knowledge of Agile methodologies and SDLC processes

• Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization.

• Strong analytical, critical thinking, and troubleshooting skills

• Ambition to learn and utilize emerging technologies while working in a stimulating team environment.

Preferred Qualifications

• Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline

• Experience with GenAI and LLMs framework (OpenAI, AWS)

• Experience in UI/UX design

• Experience working in a cloud based ecosystems (AWS, Snowflake, etc)

• Familiarity with the pharmaceutical industry

Please apply by sending your CV and a motivational letter in English

Work Location Assignment: Hybrid