Vice President Business Intelligence (San Antonio, TX)
- Compensation
- Not disclosed
- Location
- San Antonio, TX, US
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Full time
- Experience
- 6+ years
- Category
- Not specified
- Posted
Skills
Must have
- 6+ years of experience designing and delivering business intelligence and analytics solutions.
- Expert-level Power BI experience, with broader expertise across enterprise BI and analytics technologies, including:
- Advanced DAX and Power Query (M)
- Semantic and dimensional modeling
- Performance tuning and optimization
- Security, including RLS and OLS
- Governed self-service analytics
- Strong SQL skills and ability to work directly with enterprise data models.
- Experience building executive dashboards, data products, and enterprise reporting solutions.
- Experience establishing analytics standards, governance, accessibility, and best practices.
- Strong communication skills with the ability to work directly with executives and business stakeholders.
- Proven ability to lead complex analytics initiatives from business need through deployment and adoption.
- Must be willing to work on-site full time.
- Experience and qualifications may warrant placement in a different job title.
Nice to have
- Experience in real estate investment management, private equity, real estate operations, or asset management.
- Familiarity with Yardi, Argus, Dealpath, MRI, or similar industry platforms.
- Experience with Azure data services, Azure DevOps, or Microsoft Fabric workloads.
- Exposure to Microsoft Purview, Power Platform, Copilot, and AI-enabled analytics capabilities.
- Bachelor's degree in a technical, analytical, quantitative, or business discipline.
Full description
Company Overview
Along with its affiliate companies, Affinius Capital invests across the risk spectrum for a global client base, managing over $64 billion in gross assets under management within a diversified portfolio across North America and Europe. Affinius Capital provides strategic equity and debt capital, including to capitalize on the accelerating demand for technology-driven real estate assets, to meet the critical need for housing solutions, and for other market and capital structure opportunities exhibiting compelling risk-return characteristics. For more information, visit affiniuscapital.com.
Job Description
Affinius Capital is seeking a hands-on Vice President, Business Intelligence (BI) to lead enterprise reporting, analytics, data accessibility, and solution delivery.
This role combines senior technical ownership with practical leadership. The successful candidate will build high-visibility BI solutions, define enterprise BI standards, and serve as the firm's subject matter expert for business-facing analytics, including Power BI and semantic modeling. The BI function is part of a broader enterprise data organization spanning Data Architecture, Data Engineering, Data Governance, and Data Quality. This role bridges enterprise data strategy, architecture, and business needs, turning trusted data into accessible, actionable insights. The ideal candidate enjoys solving complex business problems, building scalable analytical solutions, enabling self-service capabilities, and partnering directly with business stakeholders.
What You Will Do
Design, Build, and Deliver
- Design, develop, and deploy dashboards, reports, scorecards, data products, and analytics solutions.
- Build portfolio, fund, asset, pipeline, investor, financial, executive, and ad hoc analytical solutions.
- Translate business requirements into scalable reporting and data access capabilities.
- Create functional and technical specifications for reporting initiatives.
- Lead testing, validation, training, and user adoption.
- Deliver solutions that are intuitive, accessible, performant, and trusted.
Own the Enterprise Semantic and Analytics Layer
- Design and maintain reusable enterprise semantic and analytical models.
- Develop and optimize core modeling capabilities, including:
- Star schemas
- Fact and dimension models
- DAX measures and calculation groups
- Incremental refresh strategies
- Aggregations and performance tuning
- Implement row-level and object-level security.