Manager, Quality – Business Data Engineer

Manager, Quality – Business Data Engineer Location: Santiago, Santiago Metropolitan Region, Chile (Hybrid) Employment type escaped: Full-time Seniority level: Mid‑Senior level About the Role Use Your Power for Purpose Every day, our unwavering commitment to quality ensures the delivery of safe and effective products to patients. Our flexible, innovative, and customer‑oriented culture is rooted in science and risk‑based compliance. Whether you are involved in development, maintenance, compliance, or analysis through research programs, your contribution directly impacts patients. Role Summary The Manager, Quality – Business Data Engineer will serve as the business lead and be responsible for partnering with business and Digital & Technology stakeholders to design, manage, and enhance RQA’s datalake and data solutions and for driving the adoption of best practices in data governance. By developing a deep understanding of the end‑to‑end business processes of RQA and stakeholders, this role will ensure that data solutions are aligned with organizational goals and regulatory requirements. The successful candidate will collaborate with subject matter experts (SMEs), technical support, and analytics teams to ensure data readiness for and support implementation of advanced analytics, AI/ML initiatives, and digital transformation. This position requires a blend of technical expertise pdata quiz, business acumen, and strong communication skills to translate complex data challenges into actionable insights and solutions. This individual will independently set technical direction, champion best practices in data management and governance, and collaborate with business and technical teams to deliver scalable, high‑quality solutions. Experience in regulated industries and familiarity with quality management systems are highly valued. Role Responsibilities Oversee the management, optimization, and governance of the RQA datalake, ensuring data quality, security, and compliance with internal and external standards. Develop, document, and implement best practices for data management. Collaborate closely with the technical support team to triage, elevate, and resolve issues in the datalake, web applications, and dashboards. Provide direction and review to the technical support team in implementing solutions aligned with business needs. Support the development and enhancement of dashboards, web applications, and digital tools in partnership with the Digital and Technology team aligned with business needs. Work collaboratively with system owners and stakeholders outsideપૂર્ણ RQA to support enterprise Quality data integrity and availability. Partner with RQA Data and Analytics and Digital and Technology teams to prepare data infrastructure for AI/ML initiatives, implement advanced analytics, and support model development and operational readiness. Drive implementation of AI tools into development, data quality, and maintenance workflows. Support execution and enhancement of risk assessment processes. Proactively identifies opportunities for improvement within RQA. Maintains current knowledge with industry trends and emerging technologies in data engineering, analytics, and governance. Monitors and maintains expertise in area(s) of focus. Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field with 5+ years of industry experience shape; advanced degree preferred. Demonstrated expertise in modern data and analytics platforms (e.g., Snowflake, Dataiku DSS). Experience in working with large datasets, data visualization tools, and statistical software packages (e.g., SQL, Python, Spotfire, PowerBI). Proven experience designing, building, and managing large‑scale data infrastructure and analytics pipelines. Strong understanding of data governance, data quality, and best practices for data management in a regulated industry. Demonstrated working knowledge of data science principles, statistical modeling, and AI/ML concepts; able to support and enable advanced analytics initiatives. Experience collaborating with cross‑functional teams, including business stakeholders and technical experts. Excellent analytical, problem‑solving, and communication skills. Preferred Qualifications Relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency with an emphasis on digital and data systems. Familiarity with GxP requirements and quality management systems; experience with Veeva eQMS is a plus. Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. #J-18808-Ljbffr