Business Intelligence Manager

Business Intelligence Manager 6-month contract-to-hire Chicago, IL Role Mission Lead the transformation of Business Intelligence into an AI-driven, augmented analytics ecosystem. This role combines strategic vision, technical depth, and hands-on leadership to evolve our BI landscape with advanced AI capabilities, robust governance, and scalable data solutions built on Microsoft Fabric and Databricks. • Shape the enterprise analytics strategy at a global scale by infusing BI with production-grade AI. • Lead a high-performing team operating cross-functionally in an agile manner. • Build durable data and AI foundations on Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory, Synapse) and Databricks (Delta Lake, Unity Catalog, MLflow, Feature Store, Model Serving). Outcomes/Success Criteria • AI-Enabled BI Roadmap: Define and deliver a multi-year roadmap that prioritizes high-value, decision-driving augmented analytics use cases (forecasting, anomalies, optimization, natural-language insights). • Standard Views & Semantic Foundation: Replace one-off dashboard builds with certified, reusable standard views and a governed semantic layer that answers most recurring business questions consistently. • Natural-Language Insight Experience: Enable “ask the data” Q&A, AI-generated narratives, and guided exploration directly in Power BI so users can self-serve answers faster. • Insight Productization: Turn stakeholder questions into repeatable analytics products with clear owners, actions, and expected impact. • Insight-to-Action Operating Rhythm: Implement a cadence (weekly/monthly) where insights lead to documented actions, follow-up measurement, and continuous refinement based on outcomes. • Trust & Responsible AI: Ensure AI outputs are explainable and reliable with clear KPI definitions, driver context, confidence/traceability cues, and human-in-the-loop guardrails. • Governance That Accelerates: Stand up lightweight governance (certified datasets, glossary, ownership, access controls, quality standards) that increases speed without slowing teams down. • Adoption & Enablement: Drive adoption via training, playbooks, embedded help, and a champions network, measured by active usage and reduced ad-hoc requests. • Value Measurement: Publish quarterly impact reviews tied to KPIs like time-to-insight, self-serve rate, adoption/retention, decision velocity, and attributable business outcomes. Team & Stakeholder Management • Lead a team of BI/AI engineers and analysts—set objectives, mentor, conduct check-ins, and clear roadblocks. • Manage internal and external stakeholders across markets and functions; translate complex AI topics into clear business narratives. Qualifications & Experience • 7–10+ years in Business Intelligence/Analytics with 3–5+ years delivering production AI/ML solutions. • Hands-on expertise in Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory, Synapse) and Databricks (Delta Lake, Unity Catalog, MLflow, Feature Store, Model Serving). • Strong Power BI experience (data modeling, DAX, governance, performance tuning). • Experience with Python/SQL, notebooks, and distributed compute; familiarity with Azure AI services preferred. • Knowledge of Responsible AI, privacy, and compliance • Bachelor’s degree in Computer Science or related field required; Master’s in AI, Data Science, or Analytics preferred. • Agile delivery experience and strong stakeholder communication skills • Competencies – Organizational, Role Specific & Leadership