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Manager, Master Data Management & Data Stewardship, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Posting record
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- Live
- First seen by us
- Oct 21, 202614 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
KMK Consulting is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
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- SQL
- AWS
- Azure
- Databricks
- Snowflake
Where the posting names them
- 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.
- 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.
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About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Job description
Manager, 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.
Source details
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- Pay
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- Location & working pattern
India
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