How will this role impact First Command
The Leader of Data Management will guide First Commands 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).
What skills/qualifications do you need
- Bachelors 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
- Masters 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).
#LI-NC1
#LI-Hybrid