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(Only 24h Left) Data Steward

4 months ago

Chennai, India Nlineaxis IT Solutions Pvt Ltd Full time
We are seeking a highly motivated Data Steward to join our team to support our

pharmaceutical customer. The ideal candidate will play a crucial role in ensuring the integrity,

quality, and usability of client organization's data assets, specifically within the life sciences

domain. This is a business-facing role requires a deep understanding of technical aspects

related to data management and the Data Steward will work independently with minimal

supervision and must possess excellent communication skills to effectively collaborate with

various stakeholders.

Responsibilities:

 Independently manage and oversee the organization's data assets to ensure accuracy,

completeness, and consistency.

 Collaborate with business stakeholders to understand their data requirements,

challenges, and objectives.

 Develop and implement data quality standards, policies, and procedures to improve

data governance and compliance within the company.

 Conduct data profiling and analysis specific to pharmaceutical data to identify data

quality issues and recommend corrective actions.

 Act as a liaison between business users and technical teams to translate business

requirements into technical specifications.

 Monitor data flows and processes to identify areas for improvement and

optimization.

 Provide training and support to business users on data management best practices

and tools.

 Stay informed about industry trends and best practices in data management and

governance within the life sciences domain.

 Participate in cross-functional teams and projects to drive data-related initiatives

forward within the pharmaceutical context.

 Maintain documentation related to data policies, procedures, and standards within

the pharmaceutical industry.

Requirements:

 Proven experience (5-10 years) as a Data Steward or similar role in a business-

facing capacity.

 Strong understanding of business processes and workflows, with the ability to align

data management initiatives with industry-specific objectives

 Familiarity with data governance frameworks, data quality concepts, and data

management tools within the pharmaceutical context.

 Excellent communication skills, with the ability to effectively communicate

technical concepts to non-technical stakeholders.

 Ability to work independently with minimal supervision, prioritize tasks, and

manage time effectively.

 Proficiency in data analysis techniques and tools for data profiling and quality

assessment.

 Strong problem-solving skills and attention to detail within the pharmaceutical or

life sciences domain.

 Exposure to data management tools like Reltio and Collibra is considered an

advantage.