Pfizer

Manager, Quality – Business Data Engineer

Pfizer

full-time

Posted on:

Location Type: Hybrid

Location: Chennai • India

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Tech Stack

PythonSQL

About the role

  • 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 technical support team to triage, escalate, and resolve issues in the datalake, web applications, and dashboards.
  • Provide direction and review to 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 outside of 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.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field with 5 + years industry experience ; 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 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.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities
  • Paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data managementdata governancedata qualitydata infrastructureanalytics pipelinesAI/ML conceptsstatistical modelingdata visualizationSQLPython
Soft skills
analytical skillsproblem-solvingcommunicationcollaborationleadership
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data EngineeringBachelor’s degree in Information Systems