Vice President, Analytics & Business Intelligence
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-06-12
Listing for:
Cenergistic LLC
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager, Data Security
Job Description & How to Apply Below
Cenergistic is seeking a strategic and operationally minded leader to oversee the company's Analytics & Business Intelligence function. This individual will play a critical role in helping transform Cenergistic into a more data-driven, AI-enabled organization by connecting analytics, operations, finance, measurement and verification, and technology into a unified decision-making framework.
This role is not limited to traditional business intelligence and reporting. We are seeking a leader who understands how AI, analytics, and operational data can be leveraged to improve organizational performance, support forecasting and pricing strategy, strengthen client delivery, and create scalable operational systems across a growing services business.
The ideal candidate will combine strong technical and analytical capabilities with executive-level business acumen and the ability to translate complex operational and financial data into actionable insights.
Key Responsibilities
Strategic Leadership
- Define and execute the enterprise analytics and business intelligence strategy aligned with Cenergistic's operational and financial objectives
- Serve as a strategic advisor to executive leadership on data-driven decision-making, forecasting, operational performance, and AI utilization
- Help drive Cenergistic's evolution toward a more scalable, systems-driven, and AI-enabled organization
- Develop long-term analytics capabilities supporting operations, finance, M&V, pricing strategy, sales, and client performance
- Oversee development of dashboards, reporting, KPIs, and advanced analytics capabilities
- Lead the integration of AI tools and methodologies into operational and analytical workflows
- Translate complex operational, financial, and performance data into clear business insights
- Improve forecasting, pricing analytics, operational visibility, and performance measurement across the organization
- Support development of predictive and prescriptive analytics capabilities
- Help oversee and modernize the company's Measurement & Verification (M&V) capabilities
- Partner with operations leadership to improve data quality, accountability, and operational visibility
- Work closely with finance leadership on forecasting, margin analysis, pricing models, and business performance analytics
- Develop systems and reporting structures that connect operational execution with financial outcomes
- Partner with technology and engineering teams to improve data architecture, accessibility, and scalability
- Establish governance standards around data integrity, quality, security, and reporting consistency
- Improve the organization's ability to operationalize and leverage enterprise data assets
- Build and lead a high-performing analytics and BI function
- Foster a culture of curiosity, accountability, execution, and continuous improvement
- Recruit, mentor, and retain top analytical and technical talent
- Collaborate across operations, finance, technology, sales, engineering, and client delivery teams
- Embed analytics into core operational and strategic decision-making processes
- Support enterprise initiatives focused on growth, scalability, operational efficiency, and client outcomes
Experience
- 7 - 10+ years of experience in analytics, business intelligence, operational analytics, finance analytics, or data science
- Proven leadership experience building and managing analytical teams and enterprise reporting structures
- Strong track record of translating analytics into measurable business outcomes
- Experience with in energy management, facilities operations, engineering services, healthcare, higher education, or operationally complex service businesses preferred
- Experience leveraging AI tools and AI-enabled workflows strongly preferred
- Strong understanding of business intelligence platforms, data ecosystems, and enterprise analytics
- Familiarity with AI, machine learning concepts, predictive analytics, and operational analytics frameworks
- Exceptional ability to communicate analytical insights to executive and…
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