Job
Description
What you will do We are seeking a detail-oriented and proactive Data Steward to support our pharmaceutical data governance initiatives. The ideal candidate will ensure the quality, consistency, integrity, and security of data across our systems, particularly within commercial, regulatory, R&D, and supply chain functions. You will play a key role in managing master data, supporting compliance (e.g., GxP, GDPR), and facilitating data-driven decision-making across the organization. Maintain and monitor master data for key domains (e.g., customer, product, vendor, material) Identify, investigate, and remediate data issues using profiling tools and dashboards. Define and enforce data definitions, naming conventions, and standard operating procedures Identify and correct data quality issues and anomalies using established data validation protocols. Implement data cleansing and enrichment processes Support company-wide data governance policies and frameworks. Ensure data complies with internal standards and external regulations (e.g., FDA, EMA, GDPR). Work closely with regulatory and quality teams to ensure alignment with compliance standards. Use statistical tools and modeling techniques to interpret trends, patterns, and correlations maintain data pipelines and manage data cleaning processes. Help identify data gaps and recommend solutions for improvement. ensure data accuracy, consistency, and integrity across systems Analyze large and complex datasets from internal and external sources (e.g., clinical trials, sales, market data). Serve as a liaison between business units (e.g., marketing, regulatory, supply chain) and IT. Collaborate with data owners and SMEs to define and enforce data standards. Provide training and support to end-users on data management best practices. Maintain the accuracy and completeness of master data in key systems (e.g., SAP, Veeva, Oracle). Support data migration and integration projects, ensuring clean and standardized data input. Assist in data extraction, reporting, and analytics to support business operations and decision-making. Generate periodic data quality reports and metrics Basic Qualifications: Degree in computer science, Data Management, or related field & engineering preferred with 2-5 years of software development experience 2-5 years of experience in a Data Steward, Data Analyst, or related role in the pharmaceutical industry Experience with data systems such as SAP, Veeva, Salesforce, Oracle, or Informatica is a plus. Excellent communication and collaboration skills. Preferred Qualifications: Experience with global data governance or enterprise data management initiative Knowledge of GxP, FDA/EMA guidelines, and industry-specific data compliance. Proficiency in SQL and at least one programming language (e.g., Python, R). Strong skills in data visualization tools (Power BI, Tableau, Qlik, etc.). Strong skills Postgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Excellent communication skills, with the ability to present complex data in a simple, understandable way Good to Have Skills Postgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets design patterns, data structures, data modelling, data algorithms Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.
