KMK Consulting, Inc.

Pharma analytics and consulting services

Manager – Master Data Management & Data Stewardship

Data ManagementConfirmed live in the last 24 hours

Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

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 healthcare professional/healthcare organization (HCP/HCO) data in the pharmaceutical or life sciences industry.
Understanding of Master Data Management 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 Structured Query Language (SQL) for data analysis, profiling, and troubleshooting.
Ability to work across business and technical teams in a consulting or client-service environment.

Responsibilities

Support customer master management, including HCP/HCO data, customer identification, record matching, deduplication, hierarchy management, and golden record creation.
Support data stewardship processes, investigate data exceptions, coordinate issue resolution, and maintain data standards and business rules.
Implement data governance policies, data ownership frameworks, business definitions, metadata standards, and data management procedures.
Define and execute data quality checks, profiling, validation, monitoring, and root-cause analysis across commercial datasets.
Work with pharmaceutical commercial data, including sales, claims, customer relationship management (CRM), HCP/HCO, territory, specialty pharmacy, payer, and digital engagement data.
Support source-to-target mapping, data standardization, cross-source reconciliation, and harmonization of commercial data across platforms.
Work with business stakeholders, data engineering teams, and client teams to translate requirements into data rules, quality controls, and actionable remediation plans.
Maintain data dictionaries, business glossaries, mapping documents, data quality scorecards, stewardship logs, and issue trackers.
Identify opportunities to improve data quality, automate validation processes, and strengthen Master Data Management and governance practices.

Desired Qualifications

Experience with pharmaceutical commercial datasets and platforms such as IQVIA, Symphony, Veeva, or other customer relationship management and data providers.
Exposure to Master Data Management platforms such as Reltio, Veeva Network, Informatica, or other enterprise Master Data Management solutions.
Familiarity with data warehouses, extract, transform, and load (ETL) or extract, load, and transform (ELT) processes, and cloud data platforms such as Snowflake, Databricks, Amazon Web Services (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.

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

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.

Required Qualifications

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.

Preferred Qualifications

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.

About the Company

KMK Consulting, Inc.

Pharma analytics and consulting services

KMK Consulting, Inc. provides analytics and consulting for life sciences, especially pharma and biotech. Its offerings mix software and services to help plan, market, and evaluate products, including Commercial Analytics, HEOR, RWE, Advanced Analytics, Market Research, and Data Services, with flexible delivery models (project work, SaaS, or on-site teams). Clients use KMK to improve sales force effectiveness, prove drug value for approval and reimbursement, and guide decisions across the product lifecycle. The firm differentiates itself with a customized, non-formulaic approach and deep pharma domain knowledge; in 2026 it was acquired by Tredence to combine KMK’s expertise with AI and data engineering capabilities for broader capabilities across research, development, supply chain, and commercial operations.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Morris Plains, NJ
Founded: 2000

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