Data Analytics Program Manager

CBRE Group, Inc.; United States; Vor Ort; USD 130.000 - 170.000; Vollzeit

Zusammenfassung

CBRE Group, Inc. is seeking a Data Analytics Program Manager to own the analytics backbone for a scaling energy and power planning function. You will manage large datasets across hundreds to thousands of sites, translating raw data into decisions and building robust tracking infrastructure.

The role emphasizes data modeling, centralized reporting, and cross-functional coordination with PMO, Finance, and Construction to ensure timely delivery and risk visibility.

Qualifikationen

• 5+ years in a data-heavy program management or data analyst role managing large datasets across complex portfolios.
• PMP certification or equivalent used to structure ambiguity and drive alignment.
• Proficient in SQL; Python is a strong plus.
• Advanced Excel/Sheets and hands-on BI tool experience (Tableau, Power BI, Quicksight).

Aufgaben

• Own and maintain centralized trackers across the full site lifecycle from demand forecasting to construction delivery.
• Build data models that integrate inputs from multiple sources into a single source of truth.
• Design risk tracking frameworks embedding due diligence outputs into PMO and capital workflows.
• Produce executive-level reporting and dashboards showing portfolio risk, cost variance, and milestones.
• Identify data gaps and process breakdowns and build trackers, playbooks, and escalation frameworks.
• Partner with cross-functional teams to ensure costs flow into capital budgets and drive automation across data workflows.

Kenntnisse

Data modeling

BI tools

SQL

Python

Advanced Excel

Cross-functional coordination

Ausbildung

PMP certification or equivalent

Tools

Tableau

Power BI

Quicksight

Jobbeschreibung

Data Analytics Program Manager

Role Overview

A large e-commerce and logistics client is looking for a data-first program operator to own the analytics backbone of a fast-scaling energy and power planning function. This person manages large, complex datasets across hundreds to thousands of active sites in various stages of planning, due diligence, capital approval, and construction -- translating raw data into decisions and building the tracking infrastructure the team runs on.

This is not a traditional program manager role. The core skillset is data -- querying it, modeling it, centralizing it, and making it actionable. Strong operational discipline ensures that analytical outputs actually drive cross-functional alignment, risk visibility, and on-time delivery across PMO, Finance, Capital Management, Pre-Construction, and Construction stakeholders.

What You'll Do

• Own and maintain centralized trackers spanning the full site lifecycle -- from demand forecasting and site selection through power due diligence, capital approval, utility engagement, and construction delivery -- across a portfolio of hundreds to thousands of locations simultaneously


• Build and manage data models that integrate inputs from multiple internal and third-party sources into a single, reliable source of truth for portfolio health, risk, cost, and timeline status


• Design and stand up risk tracking frameworks that embed site-level due diligence outputs directly into downstream PMO and capital workflows, closing handoff gaps between site selection and delivery teams


• Produce executive-level reporting and dashboards that surface portfolio risk, cost variance, milestone status, and coverage gaps in real time


• Identify data gaps, ownership ambiguities, and process breakdowns across stakeholder groups and build the mechanisms to fix them – trackers, playbooks, operating rhythms, and escalation frameworks


• Partner with cross-functional teams to ensure utility infrastructure and interconnect costs flow accurately into capital approval budgets


• Drive automation opportunities across high-frequency data workflows and define requirements for tooling improvements

What You'll Need

• 5+ years in a data analyst or data-heavy program management role managing large, multi-variable datasets across complex portfolios


• PMP certification or equivalent – used to structure ambiguity, not just manage schedules


• Advanced Excel/Sheets and hands-on BI tool experience (Tableau, Power BI, Quicksight, or similar)


• SQL proficiency; Python a strong plus


• Proven ability to build centralized tracking and reporting 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 a messy data landscape and build clean, scalable systems that others depend on