Vice President, Analytics & Business Intelligence

Position Summary

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

Analytics, AI & Business Intelligence

• 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

M&V, Operations & Financial Analytics

• 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

Data Infrastructure & Governance

• 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

Team Leadership

• 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

Cross-Functional Partnership

• 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

Qualifications

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 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

Skills

• 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

Leadership & Mindset

• 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

Education

• Bachelor's degree in a business or analytical discipline required
• MBA, MS, or other advanced degree preferred

Success Metrics

• Increased adoption of data-driven decision-making across the organization
• Improved forecasting accuracy and operational visibility
• Measurable ROI from analytics and AI initiatives
• Advancement of M&V and operational reporting capabilities
• Improved data quality, governance, and scalability
• Development of scalable systems supporting company growth
• Strong team performance, collaboration, and retention