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The Role
Supports master data management, data stewardship, governance, and data quality for pharmaceutical commercial datasets. Responsibilities include customer master management, HCP/HCO record matching, deduplication, hierarchy management, golden records, data profiling, reconciliation, source-to-target mapping, documentation, and issue resolution. The role collaborates with business, technical, and client teams to improve data accuracy and enable reliable analytics and reporting.
Summary Generated by Built In
Senior Associate– Master Data Management & Data Stewardship, India
Role Overview
We are looking for a data management professional with experience in Master Data Management (MDM), data stewardship, data governance, and data quality to support commercial analytics and operations initiatives for leading life sciences and pharmaceutical clients.
The candidate will work with business and technology teams to improve the accuracy, consistency, and usability of commercial data across multiple sources, enabling reliable analytics, reporting, and business decision-making.
Key Responsibilities
Role Overview
We are looking for a data management professional with experience in Master Data Management (MDM), data stewardship, data governance, and data quality to support commercial analytics and operations initiatives for leading life sciences and pharmaceutical clients.
The candidate will work with business and technology teams to improve the accuracy, consistency, and usability of commercial data across multiple sources, enabling reliable analytics, reporting, and business decision-making.
Key Responsibilities
- Master Data Management (MDM): Support customer master management, including HCP/HCO data, customer identification, record matching, deduplication, hierarchy management, and golden record creation.
- Data Stewardship: Support data stewardship processes, investigate data exceptions, coordinate issue resolution, and maintain data standards and business rules.
- Data Governance: Implement data governance policies, data ownership frameworks, business definitions, metadata standards, and data management procedures.
- Data Quality Management: Define and execute data quality checks, profiling, validation, monitoring, and root-cause analysis across commercial datasets.
- Commercial Data Management: Work with pharmaceutical commercial data, including sales, claims, CRM, HCP/HCO, territory, specialty pharmacy, payer, and digital engagement data.
- Data Integration & Harmonization: Support source-to-target mapping, data standardization, cross-source reconciliation, and harmonization of commercial data across platforms.
- Business & Technical Collaboration: Work with business stakeholders, data engineering teams, and client teams to translate requirements into data rules, quality controls, and actionable remediation plans.
- Documentation & Reporting: Maintain data dictionaries, business glossaries, mapping documents, data quality scorecards, stewardship logs, and issue trackers.
- Continuous Improvement: Identify opportunities to improve data quality, automate validation processes, and strengthen MDM and governance practices.
- 3–5 years of experience in data management, MDM, data governance, data stewardship, or data quality.
- Experience working with customer master data, preferably HCP/HCO data in the pharmaceutical or life sciences industry.
- Understanding of MDM concepts, including matching, merging, deduplication, survivorship rules, golden records, and hierarchy management.
- Hands-on experience with data profiling, validation, reconciliation, and data quality issue resolution.
- Working knowledge of SQL for data analysis, profiling, and troubleshooting.
- Strong analytical, problem-solving, documentation, and stakeholder coordination skills.
- Ability to work across business and technical teams in a consulting or client-service environment.
- Experience with pharmaceutical commercial datasets and platforms such as IQVIA, Symphony, Veeva, or other CRM and data providers.
- Exposure to MDM platforms such as Reltio, Veeva Network, Informatica, or other enterprise MDM solutions.
- Familiarity with data warehouses, ETL/ELT processes, and cloud data platforms such as Snowflake, Databricks, AWS, or Azure.
- Experience establishing data quality rules, stewardship workflows, issue escalation processes, and governance dashboards.
- Experience supporting commercial analytics, sales operations, customer targeting, territory alignment, or omnichannel analytics.
Skills Required
- 3-5 years of experience in data management, master data management, data governance, data stewardship, or data quality
- Experience working with customer master data, preferably HCP/HCO data in the pharmaceutical or life sciences industry
- Understanding of MDM concepts, including matching, merging, deduplication, survivorship rules, golden records, and hierarchy management
- Hands-on experience with data profiling, validation, reconciliation, and data quality issue resolution
- Working knowledge of SQL for data analysis, profiling, and troubleshooting
- Strong analytical, problem-solving, documentation, and stakeholder coordination skills
- Ability to work across business and technical teams in a consulting or client-service environment
- Experience with pharmaceutical commercial datasets and platforms such as IQVIA, Symphony, Veeva, or other CRM and data providers
- Exposure to MDM platforms such as Reltio, Veeva Network, Informatica, or other enterprise MDM solutions
- Familiarity with data warehouses, ETL/ELT processes, and cloud data platforms such as Snowflake, Databricks, AWS, or Azure
- Experience establishing data quality rules, stewardship workflows, issue escalation processes, and governance dashboards
- Experience supporting commercial analytics, sales operations, customer targeting, territory alignment, or omnichannel analytics
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The Company
What We Do
You can rely on KMK to turn complex data into actionable insights to help drive real-world business decisions and improve the efficiency and effectiveness of your commercial analytics and sales operations. We have been assisting clients in the pharmaceutical industry do just that since our inception in 2000. Now with more than 120 full-time employees spanning the globe, we can provide analytical support as a project, SaaS or on-site. Our highly experienced, creative teams will work with you to eliminate the complexities of your commercialization efforts and offer sound analysis to aid your decisions. Eschewing a “one-size-fits-all” approach, we will listen to your needs and customize an approach integrating all of these areas to best meet your organization’s requirements: Advanced Analytics Market Research Health Economics & Outcomes Research (HEOR) Sales Force Effectiveness Planning and Analysis Data Services
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