DATA MANAGEMENT LEAD SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 1, 2024 - The Data Management Lead specializes in data mapping, classification, and analysis across various IT systems, setting policies for data management and security, and transforming current data environments into optimized future states. This role possesses extensive technical leadership in deploying both custom and commercial IT applications, with a solid foundation in database administration and programming in languages such as Java, C, C++, and Python. Expert in leading the development of data warehouses and lakes, enhancing enterprise reporting through business intelligence, and ensuring data security compliance with standards such as SAM, FIPS, and NIST.
Essential Hard and Soft Skills for a Standout Data Management Lead Resume
- Data Modeling
- SQL Proficiency
- Metadata Management
- Data Quality Assurance
- ETL Tools
- Database Design
- Data Governance
- Business Intelligence
- Cloud Data Management
- Data Privacy Compliance
- Leadership
- Strategic Thinking
- Communication
- Problem-Solving
- Stakeholder Management
- Adaptability
- Collaboration
- Attention to Detail
- Decision-Making
- Conflict Resolution
Summary of Data Management Lead Knowledge and Qualifications on Resume
1. BS in Information Systems with 5 years of Experience
- Experience in the medical device industry, clinical setting, or research field
- Outstanding problem-solving skills and ability to apply conceptual models, recognize patterns, draw and defend conclusions
- Strong Data Management/Project Management skills and demonstrates understanding and quality delivery of study/data management landmarks according to established timelines
- Advanced knowledge and application of industry standards in clinical data management and applicable country regulations (US FDA, ISO, ICH, CDISC)
- Proficient with Data Management Systems such as Medidata (preferred), Datafax
- Proven skills in relationship building, customer focus, decision-making, and problem-solving.
- Demonstrated ability to quickly learn the business in unfamiliar areas
- Experience with and understanding of any of the following areas
- Experience with Pharmaceutical/Biotech Good Clinical Practice (GCP) environment.
- Experience with business processes around financial controls and portfolio management of large-scale engineering capital projects.
- Experience with Computer systems validation.
2. BS in Data Science with 8 years of Experience
- Data Management experience in the clinical research industry (CRO/Pharma).
- Proven record of coordinating and supporting project teams.
- Competent in written and oral English.
- Strong leadership skills that include building and leading global (virtual) teams, the ability to work effectively with and motivate virtual teams
- Ability to negotiate and influence in order to achieve mutually beneficial results, ability to conduct root cause analysis in business problem solving and process improvement development.
- Understanding of Global Data Operations tasks, specifically within Data Management and Database Programming and relevant data standards.
- Sound awareness of relevant regulations, including ICH-GCP, and 21CRF11.
- Excellent technical skills including knowledge of Clinical Trial/Data Management Systems, PMED, and IVRS.
- Excellent interpersonal, oral, and written communication skills.
- Excellent presentation skills.
- Strong customer focus, and ability to interact professionally within a client organization.
- Basic knowledge of SAS.
3. BS in Business Analytics with 7 years of experience
- Experience must include data mapping, classification, and analysis for multiple IT systems and interfaces, setting policies/standards for data management and data security, analyzing current state data environments and designing future state data environments.
- Experience as a technical lead supporting the implementation of custom and commercial off-the-shelf (COTS) IT applications.
- Experience as a database administrator/developer performing data modeling and database design in Oracle or MS SQL server for custom and COTS IT applications.
- Experience with any programming language (Java/C/C++/Python).
- Experience leading the implementation of data warehouses/data lakes and business intelligence for enterprise reporting.
- Experience leading the identification and classification of data for security categorization in compliance with State Administrative Manual (SAM) section 5305.5, Federal Information Processing Standards (FIPS) 199, and National Institute of Standards and Technology (NIST) 800-60.
- Familiar with methodology and tools in the marketplace to assist with determining how data sources at the client may interact (e.g. primary/foreign keys that join tables from different data sources).
- Familiar with methodology and tools in the marketplace to assist clients with data classification Capability to install and configure SQL Server, SSIS, SSRS, and Power BI services plus assist with effort to restrict access to sensitive data.
- Able to assist in starting to set up ETL processes in an interim SQL warehouse (if use cases arise).
- Understanding of Data Management best practices and practical application.
- Experience with some of the contemporary analytical and data management tools (like Informatica Axon/EDC, IBM InfoSphere, Microstrategy…),
4. BA in Business Administration with 6 years of experience
- Experience in a CRO environment
- Proven record of leading project and program teams in a technical/programming or data processing environment
- Strong understanding of cross-functional activities
- Strong customer service focus
- Robust knowledge of ICH-GCP Guidelines, local regulatory requirements
- Demonstrated application of Project Management concepts
- Ability to work effectively with and motivate virtual teams
- Ability to negotiate and influence in order to achieve mutually beneficial results
- Proven problem-solving skills
- Strong communication skills with a diplomatic approach
- Strong ability to manage multiple and varied tasks with enthusiasm, prioritize workload with attention to detail
- Effective time management in order to meet objectives
- Excellent interpersonal, oral and written communication skills
5. BS in Computer Science with 7 years of experience
- Knowledge, experience, and skills in enterprise data management, data governance, data architecture, data quality principles and methodologies
- Experience with data-centric tools around Data Lineage, Dictionaries, common data access APIs, golden source identification/master data management, ontology/taxonomy development, Data DevOps, Metadata management
- Experience with data management tools such as Collibra
- Experience with risk management/control principles and tools such as IBM Open Pages
- Experience with SQL for Sybase/DB2 databases
- Experience with data visualization technologies such as Tableau, Qlikview
- Experience with data analysis and manipulation using Excel, Python and other tools
- Experience working with relational databases
- Ability to possess DCAM Certification
- Experience with curating, organizing and classifying data with appropriate concept models and developing taxonomies or ontologies
- Experience working in an agile project environment or managing large items of work- ideally in the context of data
- Experience in people management
6. BS in Management Information Systems with 10 years of experience
- Experience in the data management and governance space
- Experienced in setting up data management and governance processes for an enterprise
- Proven track record of delivery, demonstrating an ability to solve complex problems.
- Experience in leading a team
- Experience in metadata management and data lineage
- Experience in establishing an Enterprise Data Catalogue
- Knowledge in data management with cloud-based infrastructure (AWS, Azure or GCP)
- Solid understanding of data privacy and protection regulations (PDPO, GDPR or similar)
- Excellent communication skills and experience working in cross-functional teams
- Practical experience in data manipulation and analysis
- Great communication skills and strong stakeholder management across a range of levels