Vice President, Analytics & Business Intelligence

Cenergistic•Dallas, TX

10h

About The Position

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.

Requirements

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
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 operational audiences
Strong operational and financial business acumen
Ability to balance strategic thinking with practical execution
Strategic thinker with strong executive presence
Highly collaborative and operationally minded
Results-oriented with a bias toward action and accountability
Passion for building scalable, data-driven organizations
Bachelor’s degree in a business or analytical discipline required

Nice To Haves

Experience within 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
MBA, MS, or other advanced degree preferred

Responsibilities

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