Data Quality Manager

IQVIA; Ernakulam, Bengaluru; Hybrid; INR 2,500,000 - 3,800,000; Full time

Job summary

IQVIA seeks a DQ Consultant / Data Quality Lead to drive data quality across pharmaceutical datasets in a hybrid Bangalore/Kochi role. The candidate will manage data quality profiling, rule definitions, and remediation with hands-on SQL and domain knowledge in pharma.

The position emphasizes working with OneKey and Veeva datasets, stakeholders, and agile practices, including sprint planning and effective collaboration across teams.

Qualifications

• Must have strong data quality skills and hands-on SQL experience.
• 6–8 years hands-on SQL, with knowledge of large-scale data warehouses.
• Pharma/Life Sciences domain experience is mandatory.

Responsibilities

• Ensure data quality, investigate pipeline issues, support ETL processes, perform data quality analysis and remediation.
• Translate business requirements into technical specifications and act as a bridge between business stakeholders and engineering teams.
• Solid project and task management skills, including sprint planning, backlog grooming, stakeholder communication, and tracking delivery against timelines.

Skills

Data quality

SQL

OneKey

Veeva dataset

Pharma/Life Sciences experience

Education

BTech/BCA/BSc/MTech/MCA/MSc

Tools

OneKey

Veeva

Job description

Project Role: DQ Consultant / Data Quality Lead

Work Experience: 8 to 15 Years

Work location: Bangalore/Kochi

Work Mode: Hybrid

Must Have Skills: Data quality, techno-functional professional with 6-8 years of hands‑on experience in SQL, Working knowledge of One Key and Veeva dataset. Mandatory Pharma/Life Sciences domain experience.

Good to Have Skills: Sprint Planning, Backlog Grooming, Deployment Planning, Stakeholder Management

Primary Objective:

Ensure data quality, investigate pipeline issues, support ETL processes, perform data quality analysis and remediation.

Key Responsibilities:

We are looking for a techno-functional professional with 68 years of hands‑on experience in SQL, including complex query writing, performance tuning, and working with large-scale data warehouses.

• The candidate should bring strong domain knowledge of the pharmaceutical/life sciences industry, with familiarity across commercial data sets and the business processes they support.
• Working knowledge of OneKey and Veeva datasets, along with other customer master and sales datasets (such as prescription, customer, and sales transaction data), is required. Demonstrated experience in data quality management profiling, rule definition, exception handling, and remediation is essential, along with exposure to data observability practices such as freshness, volume, and schema drift monitoring.
• The role requires the ability to translate business requirements into technical specifications and act as a bridge between business stakeholders and engineering teams. Solid project and task management skills are expected, including sprint planning, backlog grooming, stakeholder communication, and tracking delivery against timelines.

Educational Qualification:

• BTech/BCA/BSc/MTech/MCA/MSc