Engineering Capability Leader – Intelligence & Insights

Frost

Engineering Capability Leader at Frost leading software and analytics engineers for scalable insight solutions. Developing strategies for cloud-enabled analytics to improve business performance.

Posted 7/17/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytics and intelligence solutions, with a strong focus on cloud technologies, data visualization, and team development. Proven ability to enhance business performance through strategic data analytics and effective reporting architectures.

Highest-signal resume keywords

Leadership In Analytics SolutionsCloud Technologies ImplementationData Visualization ExpertiseEnterprise Reporting PlatformsModern Programming Languages

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAnalytics ArchitectureReporting Platform DesignAutomationObservabilityAPIsDevOps PracticesPythonJavaData Analytics Tools

Soft Skills

LeadershipCommunicationTeam MotivationInnovationProcess Improvement

Tools & Technologies

TableauPower BICognosCloud-Enabled Analytics Platforms

Certifications & Qualifications

Master's Degree In EngineeringMaster's Degree In Computer Science

Industry Keywords

Enterprise ReportingAnalytics SolutionsContinuous ImprovementScalable SolutionsDynamic Environment

Tech Stack

Tools & technologies

CloudCognosJavaPythonTableau

About the role

Key responsibilities & impact

Provide strategic leadership and direction to the Software and Analytics Engineers, ensuring the organization has the capabilities, standards, and resources needed to deliver scalable enterprise reporting and insight solutions
Develop and implement strategies for leveraging data analytics to improve business performance, including adoption of cloud-enabled analytics platforms and improved automation in reporting pipelines
Collaborate with other business leaders to estimate level-of-effort, identify opportunities for process improvement, and optimize reporting and analytics capabilities
Manage the development lifecycle of analytics and intelligence systems, including reporting, dashboards, and insights, ensuring alignment with the needs of the organization
Lead the recruitment and development of talent within the engineering and data analytics teams, ensuring that the team is capable of delivering on the organization's goals
Foster a culture of innovation and continuous improvement, promoting best practices for data visualization, insight delivery, and responsible use of analytics across the organization
Establish and evolve the architecture supporting intelligence and reporting platforms to ensure scalability, reliability, and consistent user experience across the organization
Review existing reporting platforms, implementations, and delivery processes to identify opportunities to simplify architecture, improve resiliency, and accelerate delivery of new insights
Define architecture and governance practices for dashboards, reports, and analytics assets including metric definitions, visualization standards, refresh schedules, and security controls
Always take action using integrity, caring, and excellence to achieve all-win outcomes

Requirements

What you’ll need

Master's degree in engineering, computer science, or related field
8+ years of experience developing analytics and intelligence solutions, with at least 4 years in a leadership role
Demonstrated experience working with enterprise reporting and analytics platforms such as Tableau, Power BI, Cognos, or similar tools
Experience using and implementing cloud technologies, APIs, DevOps practices, modern design, and development methodologies
Demonstrated ability to improve observability, automation, and reliability of analytics platforms
Deep understanding of data modeling, analytics architecture, and reporting platform design
Strong understanding of commonly used concepts, practices, and procedures associated with software engineering and analytics platform development
Proven knowledge of emerging data analytics tools and technologies and development frameworks to improve data visualization
Excellent leadership and communication skills, with the ability to effectively manage and motivate teams
Ability to identify system challenges and designing scalable solutions for complex enterprise analytics environments
Demonstrated experience with modern programming languages such as Python, Java, or similar technologies
Experience working in a fast-paced, dynamic environment

Benefits

Comp & perks

Medical, dental, vision, long-term disability, and life insurance
401(k) matching
Generous holiday and paid time off schedule
Tuition reimbursement
Extensive health and wellness programs, including our Employee Assistance Program
Referral bonus program + more!