EPMO - Portfolio - Senior Data Engineer

The Senior Data Engineer shall perform duties including, but not limited to, the following:

Portfolio Reporting and Business Intelligence

• Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting statewide IT investment management.
• Develop standardized portfolio reporting supporting ITIF investments, project performance, portfolio governance, and executive oversight.
• Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that communicate organizational performance and portfolio health.
• Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness.
• Produce recurring and ad hoc executive reports supporting DTMB leadership, governance bodies, and agency stakeholders.

Data Engineering and Integration

• Design, develop, and maintain data pipelines integrating information from the State's Project Portfolio Management (PPM) platform, business intelligence environment, financial systems, governance repositories, and other enterprise data sources.
• Develop, optimize, and maintain complex SQL queries, data models, and transformation processes.
• Design scalable data models that support enterprise reporting and analytical capabilities.
• Ensure data quality, consistency, integrity, and reliability across reporting environments.
• Recommend improvements to enterprise data architecture supporting investment management and portfolio reporting.

Portfolio Analytics

• Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues.
• Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements.
• Perform root cause analysis to identify systemic portfolio issues and recommend corrective actions.
• Identify risks and opportunities requiring escalation to the EPMO and DTMB executive leadership.
• Develop predictive and trend-based reporting supporting proactive portfolio management and investment decision-making.

Business Analysis and Stakeholder Engagement

• Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs.
• Gather, analyze, and document business and technical requirements for enterprise reporting solutions.
• Translate business requirements into technical reporting and dashboard solutions.
• Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making.
• Document business requirements, technical specifications, data definitions, metadata, and reporting standards.

Continuous Improvement

• Identify opportunities to automate manual reporting activities and improve reporting efficiency.
• Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities.
• Support development and maintenance of statewide reporting standards supporting project management and investment management.
• Participate in continuous improvement initiatives supporting the SUITE methodology, Investment Management program, and enterprise reporting capabilities.
• Provide knowledge transfer, documentation, and technical guidance to State staff supporting long-term sustainability.

Minimum Requirements

The selected candidate must possess:

• A minimum of three (3), and preferably four to seven (4 7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline.
• Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions.
• Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques.
• Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms.
• Experience gathering, analyzing, and documenting business requirements and translating those requirements into technical reporting and analytical solutions.
• Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures.
• Demonstrated experience analyzing portfolio, project, financial, operational, or governance data to support executive decision-making.
• Strong analytical and problem-solving skills with demonstrated experience performing root cause analysis, identifying trends, and making data-driven recommendations.
• Experience developing and optimizing SQL queries, data models, and data transformation processes.
• Excellent written and verbal communication skills with the ability to communicate technical information effectively to both technical and non-technical audiences.
• Demonstrated ability to work independently while managing multiple assignments, priorities, and stakeholder expectations.

Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

• Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar enterprise portfolio management platforms.
• Portfolio management, investment management, project governance, or executive portfolio reporting.
• Microsoft Power BI, Microsoft Fabric, Azure Data Factory, Azure SQL, Microsoft SQL Server, or comparable Microsoft analytics technologies.
• Enterprise data warehousing, semantic models, or business intelligence architecture.
• Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms.
• Government, public sector, or other large enterprise reporting environments.
• Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe.
• Financial management, capital investment management, or portfolio performance reporting.