Data Analytics Program Manager - Business Intelligence
CBRE Group
- *DataAnalytics Program Manager - Business Intelligence**
- *RoleOverview**
- Own and maintain centralized trackers spanningthe full site lifecycle -- from demand forecasting and site selection throughpower due diligence, capital approval, utility engagement, and constructiondelivery -- across a portfolio of hundreds to thousands of locationssimultaneously
- Build and manage data models that integrateinputs from multiple internal and third-party sources into a single, reliablesource of truth for portfolio health, risk, cost, and timeline status
- Design and stand up risk tracking frameworksthat embed site-level due diligence outputs directly into downstream PMO andcapital workflows, closing handoff gaps between site selection and deliveryteams
- Produce executive-level reporting and dashboardsthat surface portfolio risk, cost variance, milestone status, and coverage gapsin real time
- Identify data gaps, ownership ambiguities, andprocess breakdowns across stakeholder groups and build the mechanisms to fixthem -- trackers, playbooks, operating rhythms, and escalation frameworks
- Partner with cross-functional teams to ensureutility infrastructure and interconnect costs flow accurately into capitalapproval budgets
- Drive automation opportunities acrosshigh-frequency data workflows and define requirements for tooling improvements
- **Bachelor’sdegree or higher in Data Science, Computer Science, Analytics, Statistics,Engineering, or a related quantitative field (Master’s preferred)**
- 5+ years in a data analyst or data-heavy programmanagement role managing large, multi-variable datasets across complexportfolios
- PMP certification or equivalent -- used tostructure ambiguity, not just manage schedules
- Advanced Excel/Sheets and hands-on BI toolexperience (Tableau, Power BI, Quicksight, or similar)
- SQL proficiency; Python a strong plus
- Proven ability to build centralized tracking andreporting infrastructure from scratch across multiple stakeholder groups
- Experience in capital-intensive industries --energy, utilities, infrastructure, real estate, or logistics strongly preferred
- Demonstrated ability to work backward from amessy data landscape and build clean, scalable systems that others depend on
Vacancy posted 1 day ago
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