Manager, Data and Analytics Engineer

Role Overview: As a hands-on Manager - Data & Analytics Engineer at Pfizer, you will lead and build innovative data solutions to strengthen the enterprise data foundation, empower enabling function partners, and unleash the power of the workforce. Your role is crucial in supporting breakthroughs that have a significant impact on patients' lives. Key Responsibilities: - Build scalable data pipelines for accurate and impactful business analytics and insights. - Design and implement data architecture and infrastructure. - Lead the development of data management strategies and policies. - Manage a team of project data engineers and analysts, providing guidance and mentorship. - Ensure data quality and integrity across all data platforms. - Collaborate with cross-functional teams to align data initiatives with business goals. - Develop and maintain data governance frameworks. - Oversee the integration of new data technologies and tools. - Ensure compliance with data privacy regulations and standards. - Drive the optimization of data processing workflows and pipelines. - Lead the development of analytics solutions to support business decision-making. - Manage relationships with external data vendors and partners. - Oversee the creation and maintenance of data documentation and metadata. - Develop and monitor key performance indicators for data initiatives. - Ensure the scalability and performance of data systems. Qualifications Required: - Bachelors or MBA/MS with at least 5-10 years of relevant experience, or a PhD with any years of relevant experience. - Expertise in data architecture design, data warehousing, SQL, data pipelines/ETL processes, data integration, cloud platforms, big data technologies, data modeling, visual analytics and business intelligence tools, programming languages (e.g., Python, R), data security, data quality management, statistical analysis, leadership, strategic thinking, communication, problem solving, and collaboration. Additional Details: - People Analytics experience with SaaS tools such as Visier, One Model, Perceptyx, Workday Prism Analytics, Workday People Analytics, SAP Success Factors Workforce Analytics is a plus. - Familiarity with Global HR data integration and experience with Mergers, Acquisitions, and Divestitures is beneficial. - Experience with Software engineering best practices, data architecture designs related to GDPR, and international regulations is advantageous. - Experience in deploying through agile methodology and working in SCRUM or SAFe team is beneficial. - Domain experience in the Human Resources field is preferred. Company Information: Pfizer is an equal opportunity employer that complies with all applicable equal employment opportunity legislation in each jurisdiction where it operates. Role Overview: As a hands-on Manager - Data & Analytics Engineer at Pfizer, you will lead and build innovative data solutions to strengthen the enterprise data foundation, empower enabling function partners, and unleash the power of the workforce. Your role is crucial in supporting breakthroughs that have a significant impact on patients' lives. Key Responsibilities: - Build scalable data pipelines for accurate and impactful business analytics and insights. - Design and implement data architecture and infrastructure. - Lead the development of data management strategies and policies. - Manage a team of project data engineers and analysts, providing guidance and mentorship. - Ensure data quality and integrity across all data platforms. - Collaborate with cross-functional teams to align data initiatives with business goals. - Develop and maintain data governance frameworks. - Oversee the integration of new data technologies and tools. - Ensure compliance with data privacy regulations and standards. - Drive the optimization of data processing workflows and pipelines. - Lead the development of analytics solutions to support business decision-making. - Manage relationships with external data vendors and partners. - Oversee the creation and maintenance of data documentation and metadata. - Develop and monitor key performance indicators for data initiatives. - Ensure the scalability and performance of data systems. Qualifications Required: - Bachelors or MBA/MS with at least 5-10 years of relevant experience, or a PhD with any years of relevant experience. - Expertise in data architecture design, data warehousing, SQL, data pipelines/ETL processes, data integration, cloud platforms, big data technologies, data modeling, visual analytics and business intelligence tools, programming languages (e.g., Python, R), data security, data quality management, statistical analysis, leadership, strategic thinking, communication, problem solving, and collaboration. Additional Details: - People Analytics experience with SaaS tools such as Visier, One Model, Perceptyx, Workday Prism Analytics, Workday People Analytics, SAP Success Factors Workforce Analytics is a plus. - Familiarity with