Sr. Manager, Enterprise BI Data Products & Governance

• Owns the business unit’s data assets and supports reporting, analytics, and user community requirements.
• Assistsleadership in shaping the data roadmap and ensures development timelines are met.
• Executes onthe roadmap by prioritizing, profiling, developing,validating, and deploying data solutions.
• Servesas the subject matter expert for data domains and communicates business impact effectively.
• Leads collaboration across portfolio management, reporting, data architecture,developmentoperationteamsfor successful deployment and maintenance of data assets.
• Maintains comprehensive documentation for business unit data and master reference data.
• Defines requirements for semantic layers to support reporting and analytics.
• Overseesdata quality rule identification, threshold reviews, andcommunicatesalerts to stakeholders.
• Implementsstandardization efforts within semantic layers and master referential data.
• Provides training and support for new or enhanced datasets.

Data Quality, Triage & Root Cause Analysis

• Establishes and enforces data quality standards, including validation rules, thresholds, and monitoring processes.
• Leads triage efforts for data quality issues, coordinating rapid investigation and resolution.
• Leadsroot cause analysis for recurring or critical data issues, driving correctiveactionsand long-term prevention strategies.
• Partners with source system owners and internal teams to remediate upstream data issues and improve data integrity.

Cross-Functional Partnerships

• Buildsstrong relationships with internal teams, including Analytics, Data Science, Reporting, and Development Operations, to ensure alignmentondata requirements and delivery.
• Collaborates with external source system data producers to define integration standards, resolve data discrepancies, andmaintaintrust in shared data assets.
• Acts as a liaison between technical teams and business stakeholders, translating complex data concepts into actionable insights.

People Leadership & Team Development

• Managesand coaches a team of technical professionals, fostering a culture of accountability, innovation, and continuous improvement.
• Providescareer development guidance, performance feedback, and succession planning.
• Buildsteam capability throughmentoring ondata interpretation, operational best practices, and technical problem-solving.
• Promotes collaboration, knowledge sharing, and cross-functional engagement.
• Ensures team alignment with organizational values and diversity, equity, and inclusion principles.

Technical Leadership

• Guides the team in advanced SQL/Python,data modeling, data profiling, andlarge scaledata technologies.
• Oversees adherence to data governance standards, security protocols, and compliance requirements.
• Champions automation, scalability, and optimization in data processes.
• Partners with architecture and engineeringteams toevaluate emerging technologies and integrate best practices.

Operational Excellence

• Exercises independent judgment and discretion in matters of significance.
• Ensures operational plans align with businessobjectivesanddelivermeasurable impact.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
• Other duties and responsibilities as assigned.