Regulatory Data Steward - Pharmaceuticals - MKVG
Job Title: Regulatory Data Steward – Pharmaceuticals
Location: Rahway, NJ 07065 (Hybrid)
Duration: 3 Months
Rate: $40.00/hr on W2
We are seeking a Regulatory Data Steward – Pharmaceuticals with a strong background in data stewardship and data management. The ideal candidate will have hands-on experience in managing and maintaining high-quality data assets, ensuring consistency, accuracy, and usability across systems and teams.
Key Responsibilities:Support data stewardship by managing data ingestion, consumption, quality review, and maintenance activities.
Create and validate documentation from multiple sources to develop comprehensive data dictionaries and business process flows.
Conduct data analysis to identify trends, discrepancies, and improvement opportunities in data quality.
Map data flows from source systems to reporting and analytics platforms.
Oversee and manage the Strategic Tender Dashboard process, including data input and quality assurance.
Drive new data initiatives by defining high-level business cases, requirements, and project tracking.
Act as a liaison between business and technical teams to ensure accurate translation of business needs into data solutions.
Qualifications:
3–5 years of experience in data stewardship, quality analysis, or a related field.
Proficient in data governance, business data modeling, metadata management, and reporting tools.
Solid understanding of data standards, design, audits, and governance frameworks.
Experience with performance management metrics and translating business requirements into technical solutions.
Familiarity with various data sources, transformation processes, and data usage practices.
Bachelor's Degree required.
Strong communication and writing abilities.
Excellent organizational skills and ability to track/report progress.
Comfortable leading working sessions and collaborating with cross-functional teams.
Proficient with Microsoft Office Suite.
Skilled in analyzing datasets and understanding their impact on business operations.
Experience with Master Data Management (MDM) tools and practices.
Strong knowledge of data governance and master data processes.
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