Senior Data Management Consultant​/Data Governance SME; DoW Clearance Required

Overview

About us:
Navaide:
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.

Position: Senior Data Management Consultant
(Active DoW Clearance Eligibility Required)
Navaide is actively searching for a Senior Data Management Consultant to support a Deputy Assistant Secretary of the Navy. The ideal candidate must have demonstrated performance and proven success contributing to enterprise-wide data governance programs in complex environments. The candidate must possess comprehensive knowledge of data quality assurance, metadata management, data architecture, and data lineage. The candidate must be proficient with using visualization tools, and the data analysis process to provide insights for executive level decision making.

The candidate must have executive level communication skills, including ability to provide compelling presentations to senior leadership.

• Strong stakeholder management with proven ability to build relationships and drive cross-functional alignment.
• Ability to translate technical concepts into actionable business language for non-technical audiences.
• Experience facilitating committees, working groups, and collaborative forums.
• Strategic thinker with strong analytical and problem-solving skills.
• Self-directed with ability to work independently while appropriately escalating issues.
• Strong organizational skills and the ability to manage multiple priorities.
• Collaborative team player across organizational boundaries.

• Data Strategy & Governance Documentation:
  Within 180 days of award, analyze Government requirements and existing data structures to deliver a draft Department of Navy (DON) Procurement Data Strategy and a corresponding Data Governance Plan. These documents shall be actionable technical frameworks that produce and maintain the following foundational artifacts that will define and enforce the rules for managing the DON's procurement data as a strategic asset.
• Data Stewardship Framework:
  Defines data stewardship roles, technical responsibilities, and data access control configurations. The data stewardship framework shall include a Governance Activity Responsible, Accountable, Consulted, and Informed (RACI) Matrix, which will be used at every step in the data lifecycle. This framework shall include the chartering and operational procedures for all individuals involved with the usage of the data. In addition, the framework will outline all control access procedures.
• Data Quality Framework:
  Defines automated data quality validation rules and the (e.g., Accuracy, Completeness, Timeliness, Uniqueness, Consistency), and thresholds used to measure data integrity.
• Conceptual Data Model: A high-level, business-focused model, developed in collaboration with Government stakeholders, that defines the primary business entities (e.g., "Contract," "Vendor," "Requirement") and their fundamental relationships, serving as the strategic blueprint for all subsequent data models.
• Canonical Data Model and Master Data Dictionary: A detailed logical data model that serves as the master data dictionary. This model must be visually represented through a comprehensive Entity Relationship Diagram (ERD) that maps the relationships between key data entities across all integrated source systems. For every data element, this model must record, at a minimum, the following metadata attributes:
  • Authoritative Source System
• Business Process Alignment (BEA L1-L4)
• Designated Government Data Owner
• Data Flow Diagrams (DFDs) and Lineage: A set of diagrams and supporting documentation that illustrate the end-to-end lineage of data. This includes visualizing the movement of data between source systems, through key business processes (such as the Procure-to-Pay handshakes), and into the…