Data Engineering Team Lead- Intellio Labs

West Monroe is seeking aData EngineeringLeadtoset and executedata engineering strategy across multiple products within ourIntellioassetportfoliowithin the Office of the Chief AI Officer. This roleestablishestechnical directionand ensures the delivery of scalable secure and high-quality data platforms aligned to business and product goals.Thisroledemonstratesenterprise-level impact through strategic leadership cross-portfolio influence andpeopledevelopment. The Data Engineering Team Lead partners with Product Engineering and Business leaders to align data investments to firm priorities enable downstream consumption and mature firmwide data capabilities.

Responsibilities

• Data Engineering Strategy & Architecture

• • Define evolve and operationalize data engineering strategy architecture and standards across multiple productsand the assetportfoliooverall.

• • Work with IT toensure we collectively adhere tofirmwide architectural patterns tooling standards and engineering best practices.

• • Provide senior technical leadershipon theIntellioLabs teamthrough architecture reviews design guidance and risk management.

• Platform Delivery & Operational Excellence

• • Own technical direction and delivery oversight for complex cross-product dataplatformsand modernization initiatives.

• • Own roadmap architectural decisions and technical debt prioritization for shared data platforms.

• • Ensure scalability reliability security and cost efficiency across data platforms.

• • Establish andmaintainoperational practices that support long-term platform sustainability.

• • Act asescalationpoint for critical data platform incidents ensuring root cause analysis remediation and long-term reliability improvements.

• Data Quality Governance & Security

• • Design and enforce data quality monitoring governance frameworks and access controls for critical data assets.

• • Ensure consistent application of enterprise data standards security policies and compliance requirements.

• • Reduce risk through proactive oversight of data integrity reliability and platform health.

• Business Enablement & Adoption

• • Enable scalable secure consumption of trusted data for analytics AI and business use cases.

• • Drive adoption of standardized dataplatform tools and architectural patterns by downstream teams products and clients.

• • Partner with Product Engineering and Business leaders to align data platform investments to firm and client priorities.

• People Leadership & Capability Development

• • Directly manage and develop a team of senior and mid-level data engineers including hiring performance management and career development

• • Build and sustain high-performing teams with strong technical delivery and leadership capabilities.

• • Establish clear expectations for technical excellence accountability and continuous improvement.

Qualifications

• Bachelors degree in Computer Science Engineering ora relatedfield preferred; equivalent experience.

• 10 yearsof experience in data engineering data platform development or related technical roles.

• 5 yearsof experience leading senior engineers technical leads or engineering managers.

• Proven experience defining and executing data engineeringstrategyacross multiple platforms or portfolios.

• Deepexpertisein modern dataarchitectures cloud-based data platforms and data pipeline orchestration.

• Strong understanding of enterprise data quality governance security reliability and cost management practices.

• Demonstrated ability to influence technical standards and architectural decisions across teams.

• Experience partnering with Product Engineering and Business leaders to align technology investments to strategic outcomes.

• Track recordof developing technical leaders and building high-performing engineering organizations.

• Excellent communication skills with the ability to engage effectively with both technical and executive stakeholders.