- Ensure data integrity, accuracy, and consistency across all organizational systems and databases
- Establish and enforce comprehensive data governance frameworks and policies to maintain compliance with regulatory requirements
- Enable data-driven decision-making by providing reliable, accessible, and high-quality data to stakeholders
- Optimize data collection, storage, and analysis procedures to enhance operational efficiency
- Protect organizational data assets through robust security measures and risk mitigation strategies
- Bridge technical and business teams to align data initiatives with strategic organizational objectives
- Support business growth and innovation through effective data architecture and management practices
- Maintain compliance with industry standards and data protection regulations such as GDPR, HIPAA, and Basel III
Objectives
Responsibilities
- Oversee the entire data lifecycle from collection and storage to quality control, security, and archival
- Design and maintain data architecture, including database schemas, data models, and data pipelines
- Implement and monitor data validation processes, quality standards, and automated controls
- Create and enforce policies for effective data management, governance, and compliance
- Manage database systems including Oracle, PostgreSQL, MySQL, and MongoDB
- Collaborate with business teams, data scientists, and IT departments to define data requirements and specifications
- Develop and maintain documentation for data standards, metadata, and reference data management
- Monitor data flow, resolve infrastructure issues, and troubleshoot data-related problems
- Conduct regular audits to ensure data security, privacy, and regulatory compliance
- Support data analysis and reporting initiatives by providing clean, structured datasets
- Coordinate with data engineers to build and optimize ETL workflows and data processing systems
- Establish data sharing rules and access control policies for internal and external stakeholders
- Perform regular database maintenance and implement system upgrades as needed
- Train and support team members on data systems, tools, and best practices
- Lead data-related projects from planning through execution to database lock and delivery
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field
- 3-5 years of proven experience in data management, data administration, or related roles
- Strong proficiency in SQL, Python, and database management systems
- Excellent understanding of data administration functions including collection, analysis, and distribution
- Knowledge of data governance frameworks, data quality management, and compliance requirements
- Experience with data warehousing, data modeling, and database design
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Strong analytical and problem-solving skills with attention to detail
- Excellent organizational, planning, and time management abilities
- Strong communication and collaboration skills to work with cross-functional teams
- Understanding of data security, cybersecurity principles, and data privacy regulations
- Ability to manage multiple projects and meet deadlines in a fast-paced environment
- Proficiency in MS Office, particularly Excel and Access
Preferred Skills & Qualifications
- Master's degree in Data Science, Statistics, Information Systems, or related field
- Certifications such as CDMP (Certified Data Management Professional), IBM Data Science Professional Certificate, or cloud certifications
- Experience with ETL tools like Apache Airflow, dbt, or Informatica
- Knowledge of BI platforms such as Power BI, Tableau, or Looker
- Experience with data catalog tools like Collibra or Alation
- Familiarity with programming languages such as R or Perl
- Understanding of CDISC standards (CDASH, SDTM, ADaM) for clinical data management
- Experience with EDC systems such as Oracle RDC/InForm
- Knowledge of data visualization and dashboard creation
- Experience in regulated industries such as healthcare, finance, or pharmaceuticals
- Background in Agile or DevOps methodologies
- Experience with machine learning or AI-driven data initiatives
- Project management skills and leadership experience
- Knowledge of blockchain technology and emerging data management trends
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What Does a Data Manager Do?
A Data Manager organizes, maintains, and safeguards an organization's data to ensure it remains accurate, accessible, and secure, ultimately enabling informed business decisions and operational efficiency. They focus on overseeing data collection, storage, validation, and usage across systems while ensuring information supports business operations, analytics, and strategic decision-making.
Organizations need Data Managers because they bridge the gap between technical infrastructure and business needs. Data Managers enable companies to reduce risk, increase efficiency, and gain trustworthy insights from their information assets by implementing data governance frameworks and ensuring reliable, well-governed data.
A Data Manager needs strong technical skills including proficiency in database management systems, programming languages like SQL and Python, and knowledge of data architecture. They also require analytical thinking, attention to detail, understanding of cybersecurity and data privacy compliance, and excellent communication abilities to translate complex technical concepts to non-technical stakeholders.
What Are the Responsibilities of a Data Manager?
The responsibilities of a Data Manager are to oversee the entire data lifecycle, establish data governance policies, ensure data quality and security, and collaborate with stakeholders to align data initiatives with business objectives.
Data Manager duties include designing and maintaining data architecture, implementing validation processes and quality controls, managing database systems, troubleshooting data-related issues, conducting regular compliance audits, and supporting data analysis initiatives by providing clean, structured datasets to analytics teams.
Understanding these responsibilities helps organizations ask relevant interview questions to identify and hire the best Data Manager candidates who can effectively manage data assets, ensure compliance, and drive data-driven decision-making across the enterprise.
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