Data Policy

Found in: Resume Library US A2 - 1 week ago

Chantilly Virginia, United States Citizant Full time
Job Description

Overview:

We are seeking a highly experienced Subject Matter Expert with a minimum of 7 years of demonstrated proficiency in delivering technical support projects, specifically within the domain of data policy and strategy. This role will be integral to our team supporting the Chief Data Officer (CDO), focusing on initiatives such as Data Governance, Data Inventory Program (DIP), Data Architecture, and Ontology development. The ideal candidate will possess deep subject matter expertise in data management practices and a proven track record of success in implementing complex data initiatives.

Responsibilities:

Support the implementation of the Evidence Act, Federal Data Strategy, and DHS Enterprise Data Strategy for CDOD.

Provide expert guidance and insights in the development and refinement of data policies and strategies aligned with organizational objectives and regulatory requirements.

Collaborate with the Chief Data Officer and key stakeholders to ensure the effectiveness and relevance of policy frameworks.

Lead efforts to establish and enhance data governance frameworks, including defining governance structures, roles, and responsibilities.

Provide expert advice on best practices for implementing data governance processes, standards, and controls.

Offer subject matter expertise in the design and execution of the Data Inventory Program, including defining inventory scope, metadata standards, and data lineage documentation.

Ensure the accuracy and completeness of inventory data to support organizational decision-making.

Provide technical guidance and recommendations for data architecture solutions, including data modeling, schema design, and integration strategies.

Lead the development of ontologies to standardize data definitions and promote semantic interoperability.

Serve as a technical expert and escalation point for resolving complex issues related to data management processes, systems, and technologies. Collaborate with cross-functional teams to troubleshoot problems and implement effective solutions.

Share expertise and best practices with team members and stakeholders through training sessions, workshops, and documentation.

Empower others to leverage data management capabilities effectively and efficiently.

Identify opportunities for process improvement and innovation in data management practices.

Drive the implementation of enhancements to optimize efficiency, accuracy, and scalability of data initiatives.

Engage with stakeholders at all levels of the organization to communicate project updates, solicit feedback, and address concerns.

Build strong relationships with business partners to foster collaboration and support the achievement of project goals.

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