DATA MANAGEMENT MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 2, 2024 - The Data Management Manager adept in big data technologies and AWS Cloud environments, possessing comprehensive experience with Hadoop-based analytics, including HBase, Hive, and MapReduce. Expertise spans data warehousing, ETL tools, data architecture components, and adherence to industry standards like CDISC, coupled with a solid grasp of data collection and management tools, such as EDC and Real World Evidence data. This position demonstrates a robust ability to integrate multiple data sources, manage priorities with urgency, and navigate through SDLC and Agile methodologies, ensuring CFR Part 11 compliance.

Essential Hard and Soft Skills for a Standout Data Management Manager Resume
  • SQL
  • Data Modeling
  • Data Integration
  • Metadata Management
  • Data Warehousing
  • Data Governance
  • Data Quality Control
  • Master Data Management
  • Business Intelligence Tools
  • Data Security Protocols
  • Leadership
  • Communication
  • Problem-Solving
  • Strategic Thinking
  • Adaptability
  • Teamwork
  • Attention to Detail
  • Organizational Skills
  • Decision-Making
  • Conflict Resolution

Summary of Data Management Manager Knowledge and Qualifications on Resume

1. BS in Information Systems with 7 years of experience

  • Understanding of data management practice domains and different reference models such as DAMA
  • Proven knowledge in data management and governance policy enforcement and rolling out
  • Ability to define data ownership model and the stewardship model as part of the data governance model.
  • Understanding of data architecture viewpoints for different business models and the ability to develop each based on multiple techniques such as business analysis, DB reverse engineering
  • Hands-on development-specific data architecture viewpoints (data dictionary, business glossary, data model, ERD)
  • Hands-on developing data quality metrics and conducting actual data quality checks (tool-based, analytical manual)
  • Excellent understanding of data management lifecycle with hands on process development
  • Experience in retail/consumer, e-commerce, marketing, management consulting, or consumer finance
  • Fluency in marketing and sales analysis methodologies, including Campaign and Promotion Effectiveness, and ROI/Profitability
  • Experience working with large data sets, Data visualization
  • Experience with CRM/MA/BI tools
  • Technical skills in SQL, Python, and/or R would be an advantage
  • Fluent in Japanese and operational level of business English, spoken and written

2. BA in Business Analytics with 6 years of experience

  • Knowledge and experience with Big data technologies and AWS Cloud environments.
  • Experience with Hadoop-Based Analytics (HBase, Hive, MapReduce, etc.) Coding.
  • Experience & familiarity with ingestion tools/patterns, storage and security of data.
  • Experience with Data Warehousing and ETL Tools.
  • Experience with Tools and Components of Data Architecture.
  • Strong knowledge of industry data standards e.g. CDISC.
  • Strong knowledge of tools for collecting and managing scientific and clinical data such as EDC and Real World Evidence data…etc
  • Strong knowledge of data aggregation tools and capabilities to form recommended strategies for Steering Committee consideration.
  • Experience integrating data from multiple sources.
  • Good problem-solving, technical writing and verbal communication skills
  • Ability to effectively manage multiple priorities with a sense of urgency
  • Strong knowledge of SDLC and Agile methodologies and CFR Part 11 Compliance

3. BS in Computer Science with 7 years of experience

  • Experience with ETL Tools and/or Databases.
  • Knowledge of data warehousing and business intelligence best practices and standards.
  • Understand the fundamental concepts of database design and the need for database architectural strategies to fit business or industry requirements.
  • Knowledge of conceptual, logical, and physical data modeling.
  • Understand common software architectures, including layered and distributed architecture models
  • Understanding of quality assurance principles
  • Experience with Database development/Management and coding SQL, Oracle, SSIS, SSRS, Informatica Power Center, KB SQL, EPIC (Clarity / Caboodle) Expertise
  • Represent processes of an enterprise, so that the current process may be analyzed, improved, and automated.
  • Effectively communicate verbally and in writing as appropriate for the needs of the audience.
  • Strong analytical thinking skills, and ability to deconstruct complex problems and define and implement solutions.
  • Strong track record of project management, partner management, budget management and collaboration skills

4. BA in Data Science with 8 years of experience

  • Experience in data acquisition, integration, transformation, and wrangling of both structured and unstructured data with a leading company
  • Experience contributing to pre-sales activities, including participating in business development presentations, contributing to proposals, and presenting demos
  • Proven passion for analytics and Business Intelligence and the ability to communicate its value as a strategic business advantage
  • Track record of learning new technologies related to data visualization and analytics
  • Agile development methodology experience, including leading and training Agile teams
  • Knowledge of Data Warehousing and Data Modeling, specifically building and understanding star schema-based data marts
  • Familiarity with Business Visualization toolkits (e.g. Tableau, PowerBI, Qlikview, Looker etc.)
  • Strong SQL expertise and strong data architecture, warehousing and dimensional modeling experience
  • Strong experience with ETL/ELT design and implementations in the context of large and complex datasets, especially in the context of Data Science pipeline development
  • Demonstrated cloud experience with a variety of relational database and data warehousing technologies (e.g. AWS Redshift, Athena, RDS, Azure Synapse, BigQuery, Snowflake)
  • Demonstrated experience with big data processing systems and distributed computing technology (e.g. Databricks, Spark, Sagemaker, Kafka, etc.)

5. BS in Management Information Systems with 5 years of experience

  • Strong project management skills
  • Ability to serve in a leadership role in Data Management including effective mentoring skills, and the ability to deal effectively with sponsors and internal customers
  • Demonstrated experience working within a team matrix structure
  • Demonstrated experience in managing multiple priorities in a highly dynamic environment
  • Knowledge of ICH/GCP regulatory requirements for clinical studies
  • Knowledge of International Conference on Harmonisation (ICH) Good Clinical Practice (GCP) guidelines and other applicable regulatory rules and guidelines as well as of medical terminology, clinical trials, and clinical research.
  • Working knowledge of the relationship and regulatory obligation of the contract research organization (CRO) industry with pharmaceutical/biotech companies.
  • Demonstrated ability to lead by example, and demonstrated skill for technical and supervisory leadership of staff.
  • Skilled in the use of computer technology, including clinical trial databases and applications (specifically, IBM Clinical and Medidata RaveX) and the ability to learn new applications.
  • Excellent interpersonal, communication, and organizational skills with the ability to work independently and in a team environment.
  • Demonstrated experience with workflow orchestration, CI/CD and containerization (e.g. Kubernetes, Airflow, Docker, Jenkins)

6. BA in Information Technology with 6 years of experience

  • Knowledge of .NET Framework, proficiency in C#, web development language such as JavaScript, Html, Div+ CSS
  • Knowledge of popular front-end scripting frameworks, such as JQuery
  • Knowledge of Python and Machine Learning
  • Familiar with SQL server database, Independently according to business demand to finish T-SQL, Store Procedure, Functions, Views, etc
  • experience in BI or Report development
  • Familiar with quality tools like SPC, MSA, DOE, FMEA, CP, etc
  • Familiar with quality systems (PPCR, Qualification, non-conforming, SQM, CQM, Lab, PDCA, 6 Sigma, Project management)
  • Knowledge of quality standards(ISO 900, QS9000,etc.)
  • Excellent interpersonal skills to work effectively with internal/External customers.
  • Excellent organizational time management skill
  • Strong ability for learning, logical thinking, problem-solving, good team spirit
  • Excellent written and verbal communication skills in English
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