KMK Consulting, Inc.
Manager, Master Data Management & Data Stewardship, India
Be an Early Applicant
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.
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.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Owns the technical relationship for enterprise Dynatrace customers, driving platform adoption, health, optimization, consumption, and measurable business value. Leads success planning, executive reviews, escalations, support case management, change windows, upgrades, and enhancement advocacy. Advises on observability architecture, cloud-native environments, ITSM integrations, and production changes while coordinating cross-functional teams and influencing stakeholders without direct authority.
Top Skills:
AWSCmdbDynatraceGoogle Cloud PlatformItsmJira Service ManagementKubernetesAzureOpenshiftServicenow
Cloud • Security • Software • Cybersecurity • Automation
Leads second-line SOX compliance for assigned business processes, advising control owners on risk assessment, control design, remediation, and deficiency evaluation. Prepares auditor-ready technical memos, reports, process documentation, and severity assessments; coordinates with Internal and external auditors; and partners with IT SOX on systems and application controls. The role also supports compliant adoption and automation of AI-enabled processes and collaborates with cross-functional business leaders.
Top Skills:
Ai AgentsAi ToolsAuditboardCoso Framework
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Conduct and scale life-cycle assessments across Pfizer’s product portfolio, including data collection, validation, modeling, carbon-impact analysis, consultant coordination, and interpretation of results. Translate findings into business recommendations for packaging, transportation, product sustainability, tenders, and other decisions. Develop reusable datasets, processes, methodologies, and digital solutions while collaborating with technical and nontechnical stakeholders.
Top Skills:
Artificial Intelligence (Ai)AutomationLca DatabasesLca Modeling ToolsLife Cycle Assessment (Lca)Product Carbon Footprinting (Pcf)
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
