SENIOR DATA MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Mai 23, 2025 - The Senior Data Manager brings expertise in data management, product development, and governance, with hands-on experience in SQL, Excel, and cloud data platforms. Skilled in extracting, transforming, and aggregating large datasets using tools like Hive, ETL solutions, and statistical software. Proficient in data integration techniques, dimensional modeling, and advanced analysis through Minitab, SPSS, R, or SAS.
Essential Hard and Soft Skills for a Standout Senior Data Manager Resume
- Data Management
- SQL
- Microsoft Excel
- Data Governance
- Cloud Data Platforms
- ETL Tools
- Data Engineering
- Statistical Analysis
- Data Visualization
- Dimensional Modeling
- Leadership
- Communication
- Problem-Solving
- Critical Thinking
- Teamwork
- Adaptability
- Attention to Detail
- Time Management
- Analytical Mindset
- Project Management
Summary of Senior Data Manager Knowledge and Qualifications on Resume
1. BA in Data Science with 7 Years of Experience
- Clinical data management experience in the pharmaceutical industry and/or contract research organization.
- Extensive experience as a Lead Data Manager in Oncology and Hepatology trials.
- Team player with ability to learn new things and teach others.
- Ability to work well with technical and clinical team members and collaborate with entire clinical team (CRAs, Safety, Bios, etc.) and maintain positive and open relations with internal, sponsor, and vendor team members.
- Ability to facilitate team meetings.
- Knowledge of clinical trial concepts.
- Ability to create detailed DM project instructions and documents
- Proficiency with DBMS processing systems (preferred systems are Rave and Medrio).
- Proficiency with Catalyst SOPs, WPs for general and DM operations.
- Efficient with organizational skills to meet deadlines.
- Organized and thorough with attention to details.
- Effective interpersonal skills and excellent communications skills, verbal, written and listening.
- Ability to accept constructive criticism.
2. BA in Statistics with 10 Years of Experience
- Experience as a clinical data manager in the pharmaceutical/CRO industry within the oncology therapeutic area
- Leadership Skills, experience as a Project DM, Lead DM
- Project Management skills, excellent organizational skills
- In-depth knowledge of clinical trials and the drug development process
- Extensive hands-on experience with clinical data management practices within the oncology therapeutic area
- Experience conducting and securing oversight of trials and/or projects, DM vendor oversight of oncology trials an advantage
- Knowledge of medical terminology, preferably within oncology
- Knowledge of science or a scientific background
- Strong understanding of GCPs, SOPs, regulatory requirements, and Good Data Management Practices
- Experience with data management systems.
- Experience with Rave electronic data capture system, use of Rave in oncology studies
- Solid knowledge of CDISC (CDASH, SDTM), understanding of data collection requirements in oncology trials
- Experience with data visualization software for data review and trial oversight
- Good oral and written communication skills
3. BA in Computer Science with 6 Years of Experience
- Knowledge and use of methodologies for analysis and interpretation of large-scale longitudinal social or education administrative data within both the teaching and the research environment.
- Knowledge of identifying, sourcing and managing collation and preparation of data for large-scale social research projects, including use of databases for analysis and reporting on findings from qualitative and quantitative data.
- Demonstrated ability to prepare, clean and analyse data, document methods and present findings using a range of software (R, Stata or SAS). using a range of visualisation methods including dashboards.
- Skills in presenting data analysis outcomes including data visualisation and the preparation of dashboards.
- Experience working in a research-intensive organisation in one or more of the fields relevant to Data Analytics as applied to Workforce studies and education progression through schooling and higher education e.g. statistical modeling and predictive analytics applied to longitudinal social surveys and administrative data.
- A track record of collaborating with academics and administrators, researchers, students, higher education institutions, government and industry.
- Experience with contributing to scholarly publications in a team and understanding the role of data collection and information analysis to provide to Faculty Executive, University decision-makers, researchers and academics.
- Exceptional communication and management skills
- Effective logical thinking ability in regard to problem-solving skills.
4. BA in Information Technology with 9 Years of Experience
- Experience with Project Management and oversight of DM activities
- Hands-on operational tasks throughout the data management life cycle
- Technical skills, SAS programming skills, experience within medical device and NIS studies are considered an asset
- Leadership and/or mentoring experience in a clinical development environment
- Ability to plan and organize tasks and prioritize
- Clinical data management experience in a pharmaceutical/biotechnology company or a CRO.
- Proficient with Electronic Data Capture (EDC) systems such as Medidata Rave.
- Strong working knowledge of CDISC standards (CDASH and SDTM) and familiarity with medical coding dictionaries MedDRA and WHODrug
- Solid understanding of ICH, GCP, and other applicable regulatory guidelines.
- Effective written and verbal communication skills
- Proficiency in the Microsoft Office suite
5. BA in Business Analytics with 5 Years of Experience
- Experience in data management, product development, and/or data governance.
- Experience working with data sets
- Experience using Microsoft Excel for data analysis
- Experience using SQL or other querying languages to create data sets
- Experience in data engineering, working with data platforms (cloud data lake, cloud data warehouse)
- Experience with extracting and aggregating data from large data sets using SQL, Hive, or other tools
- Experience in understanding and analyzing data using statistical software
- Experience with ETL tools and programming languages
- Knowledge of statistical software like Minitab, SPSS, R, or SAS
- Understanding of data integration approaches, including data ingestion and transformation, and data warehousing concepts like dimensional modeling
- Experience with cloud-based integration platforms (like Informatica Cloud/IICS, Azure Data Factory, Dell Boomi, SnapLogic, IBM) or on-prem like Informatica PowerCenter
6. BA in Mathematics with 10 Years of Experience
- Experience managing clinical trial data in a pharmaceutical, biotech, or CRO setting, oncology trial experience desired
- Advanced proficiency in core data management activities
- Strong track record of leading clinical data management activities, early and late stage, and submission experience are highly desirable
- Skills include data analysis, data manipulation, data creation, data masking and data mining.
- Experience With SWIFT & OPTIM
- Proficiency in computer applications and time management tools (Excel, Word, Outlook, Project, etc.)
- Demonstrated ability to manage multiple projects simultaneously
- Experience working in a DevOps environment
- Experience in data engineering, working with data platforms (cloud data lake, cloud data warehouse)
- Leadership, management, and administration experience