Vice President, Analytics & Business Intelligence at Cenergistic
Dallas, Texas, United States -
Full Time


Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

09 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Business Intelligence, Data Analytics, Artificial Intelligence, Strategic Leadership, Financial Analytics, Predictive Analytics, Data Governance, Forecasting, Pricing Strategy, KPI Development, Operational Analytics, Team Management, Data Architecture, Executive Communication, Measurement & Verification, Cross-functional Collaboration

Industry

Energy Technology

Description
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  
Responsibilities
Lead the enterprise analytics and business intelligence strategy to transform the company into a data-driven, AI-enabled organization. Oversee the integration of AI tools and advanced analytics to improve operational performance, financial forecasting, and client delivery.
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