Business Intelligence Lead

• Master's degree in Computer Science, Information Systems, Analytics, or related field. • Microsoft Power BI, Microsoft Fabric, Tableau, Databricks, or SAP BusinessObjects certifications. • Experience with Microsoft Fabric, Azure Synapse Analytics, Snowflake, Microsoft Purview, Collibra, Alation, or other modern cloud data governance and analytics platforms.

Position Summary Join Penn Foster Group as we build the future of education technology. We are embarking on an exciting enterprise platform modernization journey—transforming our data, analytics, and technology ecosystem to leverage modern cloud platforms, artificial intelligence (AI), and next-generation Business Intelligence capabilities. This is a unique opportunity to play a pivotal leadership role in shaping the future of how data drives decisions across our organization. As our Business Intelligence Lead, you will define the vision, architecture, and strategy for enterprise Business Intelligence and self-service analytics while helping modernize our analytics platform through Power BI, Tableau, SAP BusinessObjects, Databricks, and modern cloud technologies. You will establish the governance, security, engineering practices, and scalable architecture that will support the next generation of analytics and AI-enabled decision making. This role is more than leading Business Intelligence—it is about building a data-driven culture. You will champion enterprise self-service analytics, empower business users with trusted and governed data, and serve as Penn Foster Group's thought leader for Business Intelligence, analytics innovation, and data strategy. A key measure of success will be increasing enterprise adoption of self-service analytics while significantly reducing manual and ad hoc reporting requests. Working closely with executive leadership, Product Management, Data Engineering, Enterprise Architecture, Information Security, and business stakeholders, you will shape Penn Foster Group's technology vision while mentoring and developing the next generation of Business Intelligence professionals. Why Join Penn Foster? This is an opportunity to: • Lead Penn Foster Group's transformation to a self-service analytics organization. • Shape the future architecture of our modern data, analytics, and AI platform. • Influence enterprise technology strategy and Business Intelligence standards. • Build and mentor a growing Business Intelligence team. • Work with modern technologies including Databricks, Power BI, Tableau, Azure DevOps, CI/CD, and cloud analytics platforms. • Deliver measurable business impact by increasing data literacy, enabling self-service analytics, and accelerating data-driven decision making across the enterprise. Key Responsibilities Business Intelligence Strategy & Self-Service Analytics • Lead the enterprise Business Intelligence strategy, architecture, and roadmap with a focus on expanding self-service analytics capabilities. • Champion adoption of self-service analytics by establishing governance, certified datasets, reusable semantic models, and enterprise reporting standards. • Develop and execute an enterprise adoption strategy that empowers business users to independently access trusted data and insights while reducing reliance on manual reporting and ad hoc requests. • Serve as Penn Foster Group's Business Intelligence thought leader by evaluating emerging technologies, AI capabilities, and industry best practices. • Establish KPIs that measure self-service adoption, platform utilization, analytics maturity, and business value. Enterprise BI Architecture & Engineering • Architect and implement enterprise Business Intelligence solutions using Power BI, Tableau, SAP BusinessObjects, and Databricks. • Design scalable semantic models, enterprise data models, and governed reporting solutions supporting self-service analytics. • Define enterprise standards for architecture, security, governance, visualization, and performance optimization. • Serve as the Business Intelligence subject matter expert for the organization's Databricks Lakehouse platform, partnering with Data Engineering to deliver modern analytics solutions. • Design and implement enterprise security utilizing Row-Level Security (RLS), Object-Level Security (OLS), and governance best practices. • Partner with Data Engineering to optimize ETL/ELT processes, curated datasets, and enterprise reporting models. • Lead modernization initiatives including migration from legacy reporting platforms and adoption of emerging cloud and AI technologies. Engineering Excellence & Delivery • Establish DevOps and CI/CD standards utilizing Azure DevOps, Git, source control, automated deployments, and release management. • Lead Business Intelligence initiatives within a fast-paced Agile environment using Jira and Scrum methodologies, including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives. • Mentor and develop Business Intelligence Analysts and Developers through technical leadership, architecture reviews, coaching, and knowledge sharing. • Partner with executive leadership and cross-functional teams to align analytics initiatives with strategic business priorities. Required Qualifications Education & Experience • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience). • 8+ years of progressive experience in Business Intelligence, Data Analytics, Data Warehousing, or Enterprise Reporting. • Minimum 3 years of technical leadership experience leading enterprise Business Intelligence initiatives or teams. Technical Expertise Expert-level experience with: • Microsoft Power BI • Tableau • SAP BusinessObjects • Databricks (Delta Lake, SQL Warehouses, Unity Catalog, Lakehouse Architecture) • SQL, enterprise data modeling, semantic modeling, and data warehousing • Business Intelligence architecture, governance, and enterprise security (RLS/OLS) • ETL/ELT processes and cloud analytics platforms • Azure DevOps, Git, DevOps, and CI/CD pipeline implementation • Performance optimization for enterprise reporting solutions Leadership & Business Skills • Proven success implementing enterprise self-service analytics programs that drive adoption and reduce manual reporting. • Demonstrated expe