Lead Software Engineer - Metrics and Analytics

Key Responsibilities

• Design and implement the enterprise technology metrics platform supporting Technology leadership reporting needs.
• Build automated integrations across Jira, ServiceNow, Zephyr, GitLab, Power BI, SharePoint, Workday, Snowflake, and related systems.
• Develop scalable data pipelines, APIs, ingestion frameworks, and transformation processes that standardize reporting data across disparate platforms.
• Implement metric calculation engines that execute approved business rules and reporting logic defined by governance teams.
• Build executive dashboards, scorecards, drill-down experiences, trend visualizations, and self-service analytics capabilities.
• Establish enterprise reporting architecture, metadata standards, master data management, and governance controls.
• Design reusable reporting components that support Tech ART Playbooks, Agile Operations reporting, SDLC dashboards, operational scorecards, and executive reviews.
• Build automated monthly reporting processes that reduce manual data collection and consolidation activities.
• Enable near real-time reporting and monitoring capabilities across Technology organizations where source-system data and access patterns support it.
• Develop data quality controls, reconciliation routines, monitoring, exception handling, and auditability capabilities.
• Partner with platform owners to optimize data accessibility, reporting performance, and integration reliability.
• Support advanced analytics initiatives including trend analysis, predictive insights, anomaly detection, and performance benchmarking.
• Develop scalable visualization standards and user experiences optimized for executive consumption.
• Establish engineering standards for dashboard development, reporting automation, release management, and supportability.
• Mentor engineering resources supporting analytics, integrations, reporting tools, and data platforms.

Representative Metrics & Systems of Record

• Jira
• ServiceNow
• Zephyr
• GitLab
• Power BI
• SharePoint
• Workday
• Snowflake
• Azure

Required Qualifications

• Associate’s degree and a minimum of 7 years’ systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience.
• In lieu of a degree, a combined minimum of 9 year’s education and/or relevant work experience, including a minimum of 5 years’ system analysis and/or application development work experience.
• Experience as a Lead Engineer, Data Engineer, Analytics Engineer, Software Engineer, Solution Architect, or similar role.
• Strong experience designing enterprise reporting platforms and analytics architectures.
• Experience building integrations using APIs, ETL/ELT pipelines, event-driven architectures, and enterprise data platforms.
• Experience with Power BI, SQL, dashboard engineering, reporting automation, and data visualization technologies.
• Strong software engineering and solution architecture experience.
• Experience working with large-scale enterprise data environments.
• Ability to translate business requirements into scalable technical solutions.
• Strong stakeholder engagement and technical leadership skills.

Preferred Qualifications

• Experience integrating Jira, ServiceNow, GitLab, Zephyr, Workday, SharePoint, Snowflake, Azure, or similar enterprise platforms.
• Experience supporting enterprise Agile, SDLC, DevOps, or technology governance initiatives.
• Knowledge of DORA metrics, Agile metrics, SDLC data models, DevOps reporting, and engineering effectiveness frameworks.
• Experience with Data Warehousing, Lakehouse architectures, Data Mesh principles, and modern analytics platforms.
• Experience within financial services, regulatory environments, or enterprise-scale technology organizations.
• Certifications in Azure, Data Engineering, Power BI, Cloud Architecture, SAFe, DevOps, or software engineering disciplines.