Manager - Analytics Engineer

POSITION SUMMARY

The Commercial Analytics & AI (CAAI) China team is responsible for the delivery of services that require secondary data analysis across business units (BU) to provide strategic recommendations on performance review, brand planning, operation planning, promotional resource allocation, field force sizing, segmentation/targeting, structural decisions, and digital strategies, etc.  The team delivers the services by leveraging the central expertise and existing tools, or by building simple to intermediate analysis locally. 

ROLE SUMMARY

The Analytics Engineering team in the Commercial Analytics & AI (CAAI) organization serves as the backbone of our data-driven organization, delivering the foundation upon which transformative insights and innovation thrive. With a focus on integration, curation, and quality assurance across diverse data sources, coupled with our expertise in managing data infrastructure and crafting impactful visualizations, we're not just enabling analytics – we're powering world-class solutions that propel Pfizer's mission forward. Join us in shaping the future of advanced analytics and make a meaningful impact on a global scale.

We are looking for Development Operations and Platform Engineers responsible for building tools and optimizing the development operations of cloud-based analytics engineering products critical to our business. Reporting to the Team Leader Director of Data Science & AI in China, these individuals will be individual contributors within an agile team, creating best in class processes and tools for the analytic platform. The Commercial Analytics Engineering team charter includes supporting Data Science and Insight Strategy & Execution teams across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products to be used for visualization across the Commercial business.

The ideal candidate is innovative, passionate, and results-oriented with diverse engineering experience. One should have a proven track record of building robust CI/CD pipelines, containers, APIs, and multi-cloud-based data analytics platforms that scale. A self-motived problem solver and team player, you have worked on high-performance cloud-based applications in a previous position. You are skilled in a broad set of development operations tools with the ability to adapt and learn quickly.

POSITION RESPONSIBILITIES

Key Roles & Responsibilities:

• Design and implement secure and scalable infrastructure tools, data integrations, and automation using modern light-weight technologies that enable data engineering (content development) to create scaled analytics.
• Collaborate with cross-functional teams including Pfizer Enterprise IT to align, standardize, optimize, and scale infrastructure in alignment with Pfizer's standards.
• Own and refine existing continuous integration continuous delivery (CI/CD) processes for build, test, and deployment within the Commercial Analytics Engineering platform stack.
• Work closely with content development teams to streamline workflows and improve efficiency of tools for their use in the local development context, following SDLC best practices.
• Innovate to solve complex problems that require knowledge of containers, APIs, AWS and Azure cloud infrastructure, security, and best practices in infrastructure engineering.
• Develop monitoring solutions and operational process for analytics platforms, ensuring early detection and rapid response to potential issues.
• Participate in incident response activities, troubleshoot problems, and implement preventive measures such as expansion of QA frameworks.
• Collaborate with Data Science and Analytics Engineering teams to understand application requirements and provide effective infrastructure support.
• Maintain comprehensive documentation of infrastructure configurations and processes, including the DevOps runbook.
• Own coding and engineering best practices standards and governance for a multi-faceted set of ELT pipelines that operate on various cadences to satisfy business requirements.
• Implement security best practices to protect analytics environments and ensure compliance with Pfizer’s stringent standards.

Collaboration, Partnership, and Mentoring

• Collaborate with our internal and external technical and business partners on design and implementation of efficient data systems; compute utilization and code tuning strategies included.
• Lead and build test automation tools and frameworks to test pipelines.
• Partner with enterprise Digital Engineering team to identify or code APIs that need to be instrumented for data analyt