Data/AI (DA)
DCWF 424
Data Steward
Develops and maintains plans, policies, and processes for data management, data governance, security, quality, accessibility, use, and disposal.
Tasks
The concrete work activities defined for this role in the DCWF v5.1 spreadsheet. Core tasks are required for the role; additional tasks are associated but not mandatory.
- T400 additional Analyze and define data requirements and specifications.
- T400A additional Implement data management standards, requirements, and specifications.
- T466A additional Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications.
- T5080 additional Assess the validity of source data and subsequent findings.
- T5380A additional Review feedback on customer satisfaction and internal service performance to foster continual improvement.
- T5850 additional Assist integrated project teams to identify, curate, and manage data.
- T5854 additional Collaborate with appropriate personnel to address Personal Health Information (PHI), Personally Identifiable Information (PII), and other data privacy and data reusability concerns for AI solutions.
- T5855 additional Collaborate with data owners to establish data quality rules and definitions.
- T5864 additional Create data catalogs and dictionaries.
- T5865 additional Create metrics that characterize the usability, timeliness, completeness, and accuracy of data for multiple users to reference and use.
- T5888 additional Identify and document customer requirements when on-boarding new data assets.
- T5896 additional Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.
- T5897 additional Manage compliance with data classification and handling requirements.
- T5911 additional Recommend data collection, integration, and retention requirements.
- T702 additional Manage the compilation, cataloging, caching, distribution, and retrieval of data.
Knowledge, Skills, and Abilities
KSA statements define what a person filling this role knows or can do. "Knowledge" is what they must know, "Skill" is what they can perform, and "Ability" is a durable capacity they bring to the work.
- A6060 ability core Ability to collect, verify, and validate test data.
- A918 ability core Ability to prepare and deliver education and awareness briefings to ensure that systems, networks, and data users are aware of and adhere to systems security policies and procedures.
- K0028 knowledge core Knowledge of data administration and data standardization policies and standards.
- K1034A knowledge core Knowledge of Personally Identifiable Information (PII) data security standards.
- K1034C knowledge core Knowledge of Personal Health Information (PHI) data security standards.
- K7018 knowledge core Knowledge of data protection standards and frameworks to prevent unauthorized access to data, and safeguard against unauthorized disclosure of data.
- K7019 knowledge core Knowledge of data security roles and responsibilities.
- K7029 knowledge core Knowledge of how to collect, store, and monitor data.
- K7036 knowledge core Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.
- K7040 knowledge core Knowledge of Personal Health Information (PHI), Personally Identifiable Information (PII), and other data privacy and data reusability considerations for AI solutions.
- S186 skill core Skill in developing data dictionaries.
- S6915A skill core Skill in communicating with all levels of the organization, including senior/mid-level executives, and operational-level personnel (e.g., interpersonal skills, approachability, effective listening skills, appropriate use of style and language for the audience).
- S7071 skill core Skill in labeling data to make it more discoverable and understandable.
- K0296 knowledge additional Knowledge of how information needs and collection requirements are translated, tracked, and prioritized across the extended enterprise.
- K0942 knowledge additional Knowledge of the organization's core business/mission processes.
- K7020 knowledge additional Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).
- K7035 knowledge additional Knowledge of key decision-support needs and questions to drive prioritization of data efforts.
- S6650 skill additional Skill in developing machine understandable semantic ontologies.