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Texas General Land Office · 1 hour ago

GLO - Data Analytics Engineering Manager (Manager VII)

Austin, TX

Full-time

Onsite

Director/Executive

7+ years exp

The Texas General Land Office is seeking a Data Analytics Engineering Manager within the Information Technology Services Department. This role involves overseeing the development and modernization of the agency’s enterprise data platforms, ensuring high-quality data for reporting and operational insights while leading cross-functional teams to drive improvements in data quality and automation.

Internet

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Oversees the development and application of analytical, visualization, and AI tools to support data-driven decision-making

Provides hands-on technical leadership to ensure analytical environments, AI capabilities, and self-service data tools are reliable, accessible, and aligned with agency needs

Leads the design, development, and maintenance of enterprise data architecture, including data modeling, warehousing, lakehouse platforms, and supporting infrastructure

Ensures platforms are scalable, secure, and optimized for performance while supporting advanced analytics and interoperability

Directs the development and maintenance of scalable data pipelines and data integration processes that support efficient ingestion, transformation, and delivery

Ensures data quality through automated validation, cleansing, and enrichment workflows and oversees metadata, master data, and reference data governance to maintain consistency and trust in agency data assets

Collaborates with agency leadership to define and advance data and AI strategies that support mission outcomes, transparency, and operational efficiency

Identifies opportunities for analytics and AI to improve services and resource allocation and translates policy priorities into measurable performance metrics, dashboards, and decision-support tools

Guides modernization efforts by architecting and evolving cloud-based data environments and hybrid infrastructures

Establishes cloud strategies for storage, processing, and analytics that align with performance, cost, and compliance requirements

Ensures data security, resilience, and disaster-recovery capabilities across platforms

Leads, mentors, and develops a multidisciplinary team of data engineers, analysts, and AI developers

Sets performance expectations, fosters innovation, promotes cross-functional collaboration, and manages hiring, onboarding, and professional development to build long-term analytics and engineering capability within the agency

Qualification

Data EngineeringCloud Data PlatformsData ArchitectureData GovernanceAI InitiativesETL/ELT ProcessesData Quality ControlsData IntegrationData ModelingData PipelinesAgile MethodologiesTeam LeadershipCommunication SkillsProblem-Solving SkillsCollaboration Skills

Required

Bachelor's degree from an accredited four-year college or university with major coursework in computer science, information systems, computer engineering, or a related field

Equivalent professional experience may substitute for the degree requirement at a rate of one year of relevant experience for each year of education

A minimum of 7 years experience in data engineering, data management, cloud data and related discipline

Preferred

Thought leadership and experience in modern data management and driving AI initiatives

Hands-on experience with cloud-based data platforms including Snowflake or Data bricks

Strong understanding of ETL/ELT processes, API frameworks, data modeling, and data lakehouse architecture

Skilled in designing and maintaining scalable, high-performance data architectures in cloud or hybrid environments

Familiarity with data governance, data cataloging, and metadata management tools

Working knowledge of analytics and business intelligence tools such as SQL Server and Power BI

Experience integrating analytics and visualization solutions into enterprise systems

Proven ability to lead, mentor, and develop technical teams while fostering collaboration and innovation

Strong communication and stakeholder engagement skills, ability to align technical solutions to organizational goals

Demonstrated experience implementing data quality controls, validation frameworks, and governance standards

Understanding of data privacy, security, and compliance requirements

Experience with CI/CD pipelines, Data API and automation for analytics environments

Benefits

Free Parking

Defined Retirement Benefit Plan Optional 401(k) and 457 accounts

Medical Insurance - State pays 100% of the health plan premium for eligible full-time employees and 50% of the premium for their eligible dependents. The State pays 50% of the eligible part-time employees’ premium and 25% for eligible dependents.

Optional Benefits such as dental, vision, and life insurance.

Minimum of 96+ Hours of Annual Leave a year • Annual leave increases with length of service.

Professional Development Opportunities: The GLO offers numerous courses to help our employees grow using resources through LinkedIn Learning and our EAP provider.