Seeking an accomplished Enterprise MDM Leader with extensive experience delivering Product Master, Item Master, and Customer Master Data Management solutions across global Life Sciences organizations. Responsible for driving end-to-end MDM strategy, implementation, integration, governance, and managed services while ensuring high-quality trusted data across Commercial, Supply Chain, Manufacturing, Regulatory, and ERP ecosystems.
The role combines business engagement, program leadership, solution architecture, and technical delivery to establish enterprise-wide Product 360 and Customer 360 capabilities leveraging Informatica MDM, Data Quality, Cloud Data Platforms, and AI-powered data management practices.
Key Responsibilities
Enterprise MDM Strategy & Leadership
- Lead enterprise-wide Master Data Management initiatives for Product, Item, Customer, Vendor, and Reference Data domains.
- Define and execute Product Master and Item Master management strategies supporting global Life Sciences operations.
- Establish MDM governance frameworks, stewardship processes, data ownership models, and operational best practices.
- Partner with business stakeholders across Supply Chain, Commercial, Regulatory Affairs, Manufacturing, Quality, and IT organizations.
- Drive roadmap development, release planning, cutover activities, and hyper care support.
Product & Item Mastering
- Design and implement Product Master and Item Master solutions for pharmaceutical products and related reference data.
- Manage lifecycle processes including product onboarding, product changes, item creation, retirements, and synchronization across enterprise systems.
- Define data standards, validation rules, hierarchies, classifications, and business rules for product and item domains.
- Establish golden records for products and materials supporting ERP, CRM, Supply Chain, Manufacturing, and Reporting systems.
- Improve product data accuracy, completeness, consistency, and compliance.
Informatica MDM & Data Quality
- Lead implementation and enhancement of Informatica MDM, Customer 360, Product 360 & IDQ solutions.
- Configure match and merge algorithms, survivorship rules, relationship management, hierarchy management, and stewardship workflows.
- Design cleanse, standardization, enrichment, and duplicate prevention processes.
- Optimize MDM processes for scalability and performance.
- Drive adoption of data quality scorecards and KPI-driven governance.
Integration & Cloud Data Platforms
- Architect integrations between MDM platforms and enterprise applications including:
- Salesforce
- Data Warehouses
- Regulatory Systems
- Supply Chain Applications
- Design cloud-native integration frameworks using:
- AWS S3
- AppFlow
- Airflow
- Glue
- Athena
- Support real-time and batch synchronization of master data across enterprise ecosystems.
AI-Enabled Data Management
- Implement Generative AI and AI-assisted solutions for:
- Product data enrichment
- Duplicate detection
- Data quality monitoring
- Anomaly detection
- Stewardship productivity
- Root-cause analysis
- Leverage AI-driven insights to improve governance and operational efficiency.
Managed Services & Operational Excellence
- Lead global MDM managed services operations.
- Drive SLA adherence, incident management, release management, and continuous improvement initiatives.
- Develop executive dashboards, operational metrics, and governance reporting.
- Manage onshore and offshore teams, resource planning, mentoring, and capability development.
- Establish Centers of Excellence (COE) and reusable frameworks.
Required Skills & Expertise
Master Data Management
- Product Master Data Management
- Item Master Data Management
- Customer Master Data Management
- Product 360 / Customer 360
- Data Governance
- Data Stewardship
- Match & Merge Optimization
- Hierarchy Management
Informatica Technologies
- Informatica MDM
- Informatica Product 360 (P360)
- Informatica Customer 360
- Informatica Data Quality (IDQ)
- Provisioning Tool
Cloud & Data Technologies
- AWS S3
- AWS Glue
- AppFlow
- Apache Airflow
- Athena
- Starburst
- Oracle
- PL/SQL
- Pyspark
Life Sciences Domain
- Product Lifecycle Management
- Pharmaceutical Product Data
- Material Master Data
- Packaging Hierarchies
- Supply Chain Master Data
- Commercial Data Management
- Regulatory Data Management
- Manufacturing Data Governance
Preferred Experience
- 10+ years of experience in Enterprise Data Management and MDM.
- Experience supporting Life Sciences organizations.
- Proven success leading large-scale MDM transformations and managed services engagements.
- Experience integrating Product Master and Item Master domains with ERP, CRM, and Supply Chain applications.
- Strong stakeholder management and executive communication skills.
Business Outcomes Delivered
- Established enterprise Product 360 and Item Master capabilities.
- Improved product and material data quality across global business units.
- Reduced duplicate products and item records through advanced matching and governance.
- Accelerated product onboarding and commercial readiness.
- Increased operational efficiency through AI-assisted stewardship and automation.
- Enabled trusted master data across Supply Chain, Manufacturing, Commercial, Regulatory, and Analytics platforms.
Improved compliance, reporting accuracy, and business decision-making through governed master data
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