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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director - Data Management - **Company:** First Command Financial Services, Inc. - **Location:** Fort Worth, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Information Systems, Data Architecture, Data Governance, Data Integration, Enterprise Architecture Framework, Meta-Data Management, Metadata Standards, Zachman Framework, Enterprise Data Management, Cloud Platform System, Informatica Powercenter, Snowflake, Data Strategy, Togaf, Data Lineage, Collibra, Data Management, Databricks - **Published:** June 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fa5ec88280cd5dd5 ## About the Role Do you have experience in Senior leadership?, Do you have a Bachelor's degree?, * Bachelor's degree in Information Systems, Data Management, or related field. * 7+ years of experience in data management, architecture, or governance. * 3+ years of leadership experience managing technical and business-facing data teams. * Strong understanding of data modeling, metadata management, and data lineage. * Experience with governance platforms (e.g., Collibra, Informatica, Azure Purview). * Excellent communication and presentation skills. Preferred * Master's degree or certifications (e.g., CDMP, DGSP, PMP, ITIL, Lean/Six Sigma). * Experience in financial services or regulated industries. * Familiarity with cloud-native platforms (Azure, Snowflake, Databricks). * Exposure to enterprise architecture frameworks (e.g., TOGAF, Zachman). ## Description The Leader of Data Management will guide First Command's enterprise-wide efforts to ensure all data is governed, documented, and effectively managed. This role is critical to realizing the vision of high-quality, trusted data assets that support decision-making, compliance, and innovation. The leader will oversee a team of Data Architects and Data Stewards, driving excellence in data modeling, governance, stewardship, and quality. This role requires a strategic mindset, strong leadership capabilities, and exceptional communication skills to advocate for data management excellence across business and technology teams. What will the employee do in this role? Team Leadership & Strategy * Lead, inspire, and mentor Data Architects and Data Stewards, fostering a culture of accountability, collaboration, and continuous improvement. * Define team goals and KPIs aligned with enterprise data strategy, supporting career development and mentorship for team members. * Demonstrate a commitment to developing data literacy across the organization, ensuring data is collected and managed to support analytics and AI strategies. Vision & Strategic Influence * Articulate and champion a compelling vision for how data management, including architecture, stewardship, and governance, enables the broader enterprise strategy. * Evangelize the role of data management in driving operational efficiency and establish a robust foundation for AI adoption. * Partner with other departments to align data management initiatives with cross-functional business objectives, fostering collaboration across the Enterprise Data & AI team. Communication & Advocacy * Exhibit exceptional communication skills, tailoring messaging to diverse audiences from senior executives to technical developers and architects. * Translate complex data concepts into clear, actionable insights for business stakeholders, ensuring both strategic alignment and operational clarity. * Present governance strategies and outcomes to executive leadership, facilitating workshops and training to promote data literacy and stewardship. Data Architecture Oversight * Ensure enterprise data models are created and maintained across all domains, enforcing best practices in data architecture, including metadata standards, naming conventions, and integration patterns. * Collaborate with enterprise architects and product teams to embed data architecture into solution design. Data Stewardship & Governance * Oversee domain ownership and stewardship assignments, driving creation and maintenance of data catalogs and lineage documentation. * Champion data quality initiatives, including profiling, monitoring, and remediation, partnering with business stakeholders to define and enforce data quality rules. Technology Project Support & Data Management Advocacy * Collaborate with technology project teams to ensure data management principles are embedded throughout the project lifecycle. * Provide expert guidance and oversight for data modeling, data cataloging, data integration, and related activities within technology initiatives. * Assess project requirements and allocate appropriate data management resources to support successful delivery. * Establish and enforce standards for data management best practices across all technology projects, ensuring consistency and quality. * Act as a key partner to IT, analytics, and business teams, proactively identifying opportunities to improve data architecture and integration in support of enterprise objectives. * Monitor project progress to ensure compliance with data governance policies and recommend corrective actions when necessary. Strategic Planning & Operational Excellence * Lead the development of long-term data management strategies aligned with enterprise goals, continuously assessing and improving data workflows. * Identify opportunities for automation and efficiency gains, monitor and report on data management KPIs, and support audits and compliance efforts related to data governance and privacy. * Ensure alignment with regulatory requirements (e.g., GDPR, HIPAA, SOX). ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)