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…education, training, and experience. The minimum salary for the Program Manager, EBMS position is $105,000 annually [or $50.48 per hour] and the maximum salary for the Program Manager, EBMS…
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Data Analytics Program Mgr - Business Intelligence
CBRE
Carson City, NV
- $120,000 to $135,000 USD / year
DataAnalytics Program Manager - Business Intelligence
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Program Manager, EBMS
CBRE
Montpelier, VT
- $105,000 to $115,000 USD / year
…education, training, and experience. The minimum salary for the Program Manager, EBMS position is $105,000 annually [or $50.48 per hour] and the maximum salary for the Program Manager, EBMS…
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Manager, Enterprise Communications & Channels
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Program Manager, RES (Risk Engineering Solutions)
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- $105,000 to $125,000 USD / year
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Program Manager, RES (Risk Engineering Solutions)
CBRE
Montpelier, VT
- $105,000 to $125,000 USD / year
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Added 8 mins ago
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Data Analytics Program Mgr - Business Intelligence
CBRE
Montpelier, VT
- $120,000 to $135,000 USD / year
DataAnalytics Program Manager - Business Intelligence
Added 12 mins ago
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Closed listing

CBRE

Data Analytics Program Mgr - Business Intelligence

Concord, NH, United States

$120,000 to $135,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $120,000 to $135,000 USD / year
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

DataAnalytics Program Manager - Business Intelligence

RoleOverview

A large e-commerce and logisticsclient is looking for a data-first program operator to own the analyticsbackbone of a fast-scaling energy and power planning function. This personmanages large, complex datasets across hundreds to thousands of active sites invarious stages of planning, due diligence, capital approval, and construction-- translating raw data into decisions and building the tracking infrastructurethe team runs on.

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

What You'llDo

· 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

What You'llNeed

· 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

CBRE carefully considers multiple factors to determine compensation, including a candidate’s education, training, and experience. The minimum salary for the Data Analytics Program Mgr - Business Intelligence position is $120,000 annually [or $57.69 per hour] and the maximum salary for the Data Analytics Program Mgr - Business Intelligence position is $135,000 annually [or $64.90 per hour]. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience.

Equal Employment Opportunity: CBRE is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company’s success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

About employer

More about this job

Skills

Data analysis
Business intelligence
Forecasting
Create data models
Reporting
Computer science
Statistics
PMP
Microsoft Excel
Tableau
Microsoft Power BI
SQL
Python
Logistics

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