Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics

Why Patients Need You

Pfizer’s commitment to creating breakthroughs that change patients’ lives is deeply embedded in our culture as a science-driven and patient-focused company. Central to this commitment is our use of digital technologies, AI, data, and analytics, which drive innovation across our organization.

What You Will Achieve

Manager, Data and Analytics Engineer, Enabling Functions, AI and Data Analytics (AIDA) will be on a team responsible for the execution of the technical strategies and development of the digital analytics solutions to support our colleagues across Finance, People Experience, Legal, Compliance, and other Enabling Functions. 

Manager, Data and Analytics Engineer, Enabling Functions, AIDA will be part of an agile team designing, developing, and maintaining our data infrastructure and Visier People Analytics platform, ensuring data quality and modeling leveraging our tool stack including Snowflake, Visier People Analytics, Python, Airflow, and dbt.

Role Responsibilities

• Design, development, and maintenance of scalable cloud-native data pipelines and ETL/ELT processes.

• Collaborate with data scientists, solution architects, analysts, and other stakeholders to understand data requirements and deliver solutions.

• Create, manage and enhance Visier security design and frameworks including user accounts, roles, and permissions within Visier People data and analytics platform, providing appropriate access levels for different stakeholder groups.

• Design and perform periodic Visier platforms and security audits, document SOPs and related compliance and platform documentation. 

• Lead and coordinate issue resolution with various Digital support teams. Investigate and triage data pipeline issues (load failure investigation and coordination, data quality issues, bugs) and coordinate remediation with all stakeholders including Digital and Business teams.

• Implement data quality checks and monitoring to ensure data accuracy and reliability.

• Optimize data storage and retrieval processes to improve performance and efficiency.

• Work with cloud-based data platforms and tools to manage and process large datasets.

• Ensure data security and compliance with relevant regulations and standards.

• Troubleshoot and resolve data-related issues and provide support to end-users.

• Create and maintain technical documentation. 

Basic Qualifications​

• Bachelor's degree in Computer Science, Engineering, or a related field and 5+ years of experience as a Data & Analytics Engineer or in a similar role; OR a Master’s degree with three years of relevant experience; OR an Associate's degree with eight years of relevant experience; Or a Ph.D. with 0+ years of experience; OR 10 years of relevant experience with a high school diploma or equivalent.

• Extensive experience in security, administration, operations, issue triage and troubleshooting of SaaS Visier People Analytics People Analytics platform and data pipelines.

• Extensive experience in managing and maintaining the Visier People data and analytics platform and security model, ensuring its smooth operation, data accuracy, integrity and security.

• Strong knowledge of SQL and experience with relational and non-relational databases, preferably Snowflake or other (Redshift, PostgreSQL).

• Proficiency in programming languages such as Python or Java, R, Scala.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Experience with data quality and data modeling.

• Strong communication and collaboration skills.

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Preferred Qualifications

• Experience with DevSecOps practices such as CI/CD and automated testing to ensure the reliability and scalability of data pipelines.

• Experience with applying DataOps principles to improve the efficiency and quality of data workflows, including version control, monitoring, and collaboration.

• Familiarity with microservices architecture and container services.

• Familiarity with big data technologies such as Spark, Hadoop.

• Familiarity with data orchestrators such as Airflow.

• Working experience with different types of data formats.

• Working experience with open-source data engineering tools. 

• Experience with data visualization tools such as Tableau or Power BI.

• Knowledge of machine learning and data science concepts.

OTHER INFORMATION

• Selected candidate will need to meet Pfizer’s Log In for Your Day requirements.

Additional Posting Locations