Sr. Data Engineering & Report Visualization Manager

Provoke Solutions is seeking a Sr. Data Engineering and Report Visualization Manager who will lead the strategy, development, and delivery of enterprise data reporting and visualization solutions. This role involves overseeing teams responsible for BI infrastructure, data modeling, ETL processes, and Power BI dashboarding, ensuring reliable data systems and governance standards are maintained.

Responsibilities:

• Define and execute the enterprise strategy for data engineering, reporting, and visualization, ensuring alignment with corporate goals and governance policies
• Drive the evolution of data systems and reporting infrastructure to deliver reliable, self-service analytics across the business
• Lead organizational adoption of Power BI and Microsoft Fabric as enterprise reporting platforms
• Establish standard KPI frameworks, metadata documentation, and enterprise data models
• Partner with executive leadership to translate strategic objectives into measurable metrics and reporting insights
• Continuously improve data architecture and performance to meet future analytics demands
• Proactively using Gen AI and Agents at every step of the SDLC to improve quality and speed
• Oversee design and delivery of scalable BI and visualization solutions using:Power BI (Desktop, Service, Deployment Pipelines), Microsoft Fabric (Lakehouse, Dataflows, Data Activator, Spark, Python), Azure Data Services (Data Factory, Synapse, Azure SQL, Data Lake)
• Ensure accuracy and integrity of billing and financial reporting data pipelines through consistent validation and process monitoring and governed ETL/ELT processes
• Lead development of tabular models, semantic layers, and data marts that support standardized metrics and cross-departmental analytics
• Oversee ETL/ELT data ingestion, transformation, and storage within governed, high-performing data environments
• Implement and oversee governance practices – including dataset certification, version control,role-based data access, and alignment with IT and Governance teams to maintain compliance, security, and data accuracy standards
• Manage BI infrastructure and integrations with Microsoft Teams, SharePoint, and Fabric Apps, conducting regular performance, scalability, and cost optimization reviews to ensure efficient reporting and collaboration
• Provide strategic and technical leadership to a high-performing analytics team, driving talent development, cross-functional delivery, and a culture of collaboration, accountability, and continuous improvement

Requirements:

• Bachelor's degree in Computer Science, Data Analytics, Engineering, Statistics, Mathematics, or a related field
• 10+ years of experience in BI, data visualization, and data engineering
• 5+ years of leadership experience managing data engineering or BI development teams
• Expertise in Power BI including advanced DAX, semantic modeling, and performance tuning
• Deep experience with Azure Data Services, Microsoft Fabric, and modern data warehouse architecture
• Proven success in implementing enterprise reporting strategies, governance practices, and KPI frameworks
• Experience with Power BI administration, deployment pipelines, and self-service enablement
• Strong understanding of data quality, metadata, and documentation standards
• Demonstrated ability to present analytical results to senior executives and non-technical stakeholders
• Skilled in agile project management, planning, and prioritization
• Excellent communication, leadership, and stakeholder management abilities
• Strong analytical, organizational, and problem-solving skills with the ability to manage competing priorities
• Proven ability to build high-performing, results-driven teams in a remote environment
• Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality
• Willingness and ability to work flexible hours and travel (up to 10%); will include some overnight travel
• Master's degree in Computer Science, Data Analytics, Engineering, Statistics, Mathematics, or a related field
• Familiarity with additional visualization tools (Tableau, Domo, D3.js) and scripting in Python