About The Position

Job Description: Key Responsibilities Project Management & Delivery Lead end-to-end BI, reporting, and data governance projects including scope, timeline, budget, risk, and resource management Manage multiple concurrent projects using Agile, Waterfall, or hybrid methodologies Facilitate project governance meetings, executive steering updates, and stakeholder communications Develop implementation roadmaps for reporting modernization and data quality initiatives Identify risks related to data accuracy, project dependencies, and system integration Ensure on-time delivery of dashboards, reports, and reporting process improvements Drive change management and user adoption for reporting tools and data governance standards Power BI Development & Analytics Design, develop, and maintain enterprise-level Power BI dashboards, scorecards, and automated reporting solutions Build advanced data models using DAX, Power Query, SQL, and star schema best practices Create executive and operational dashboards with drill-through capabilities and trend analysis Optimize report performance, refresh reliability, and user experience Develop KPI frameworks and scorecards aligned with business objectives Integrate data from SQL databases, Excel, CRM, ERP, workforce systems, APIs, and cloud data sources Troubleshoot reporting discrepancies and performance issues Data Integrity, Governance & Quality Assurance Establish and enforce data integrity standards, validation controls, and governance processes Lead data reconciliation, root-cause analysis, and audit processes to ensure reporting accuracy Create standardized definitions for KPIs, dimensions, measures, and source-of-truth logic Partner with IT, operations, finance, and business teams to resolve data quality issues at the source Develop and maintain data lineage documentation, validation workflows, and exception reporting Implement controls for duplicate prevention, missing data detection, transformation validation, and refresh monitoring Oversee data cleansing, normalization, and consistency checks across multiple platforms Conduct periodic audits to ensure compliance with data governance policies and reporting standards Ensure reporting outputs meet executive-level standards for accuracy, completeness, and timeliness Stakeholder & Business Partnership Translate complex business requirements into scalable BI and governance solutions Serve as liaison between business leaders, IT, data engineering, finance, and operations Present project milestones, risks, and reporting insights to senior leadership Train end users and managers on dashboard interpretation, KPI logic, and data quality standards Promote enterprise-wide data literacy and self-service reporting adoption

Requirements

  • Bachelor’s degree in Business, Information Systems, Data Analytics, Project Management, or related field
  • 5+ years of project management experience
  • 5+ years of advanced Power BI development and enterprise reporting experience
  • Extensive experience in data integrity, data validation, and reporting governance
  • Advanced proficiency in: Power BI Service Power BI Desktop DAX Power Query SQL ETL / ELT concepts Data modeling Data reconciliation
  • Strong understanding of data governance frameworks, master data standards, and audit controls
  • Experience leading enterprise reporting transformations and cross-functional initiatives
  • Exceptional analytical, organizational, and problem-solving skills

Nice To Haves

  • PMP, Scrum Master, Agile, or Data Governance certification
  • Experience in call center, workforce management, finance, or operational analytics
  • Knowledge of Azure, Snowflake, SQL Server, Databricks, or modern cloud data ecosystems
  • Experience with automated data quality monitoring tools
  • Familiarity with Power Automate and workflow orchestration
  • Experience supporting regulatory, audit, or compliance reporting environments

Responsibilities

  • Lead end-to-end BI, reporting, and data governance projects including scope, timeline, budget, risk, and resource management
  • Manage multiple concurrent projects using Agile, Waterfall, or hybrid methodologies
  • Facilitate project governance meetings, executive steering updates, and stakeholder communications
  • Develop implementation roadmaps for reporting modernization and data quality initiatives
  • Identify risks related to data accuracy, project dependencies, and system integration
  • Ensure on-time delivery of dashboards, reports, and reporting process improvements
  • Drive change management and user adoption for reporting tools and data governance standards
  • Design, develop, and maintain enterprise-level Power BI dashboards, scorecards, and automated reporting solutions
  • Build advanced data models using DAX, Power Query, SQL, and star schema best practices
  • Create executive and operational dashboards with drill-through capabilities and trend analysis
  • Optimize report performance, refresh reliability, and user experience
  • Develop KPI frameworks and scorecards aligned with business objectives
  • Integrate data from SQL databases, Excel, CRM, ERP, workforce systems, APIs, and cloud data sources
  • Troubleshoot reporting discrepancies and performance issues
  • Establish and enforce data integrity standards, validation controls, and governance processes
  • Lead data reconciliation, root-cause analysis, and audit processes to ensure reporting accuracy
  • Create standardized definitions for KPIs, dimensions, measures, and source-of-truth logic
  • Partner with IT, operations, finance, and business teams to resolve data quality issues at the source
  • Develop and maintain data lineage documentation, validation workflows, and exception reporting
  • Implement controls for duplicate prevention, missing data detection, transformation validation, and refresh monitoring
  • Oversee data cleansing, normalization, and consistency checks across multiple platforms
  • Conduct periodic audits to ensure compliance with data governance policies and reporting standards
  • Ensure reporting outputs meet executive-level standards for accuracy, completeness, and timeliness
  • Translate complex business requirements into scalable BI and governance solutions
  • Serve as liaison between business leaders, IT, data engineering, finance, and operations
  • Present project milestones, risks, and reporting insights to senior leadership
  • Train end users and managers on dashboard interpretation, KPI logic, and data quality standards
  • Promote enterprise-wide data literacy and self-service reporting adoption
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