Vice President, Data & Analytics

Vice President, Data & Analytics

Position Overview

Reporting directly to the Head of Technology, the Vice President of Data & Analytics will establish and lead the organization's enterprise data strategy and platform. This executive-level leader will oversee the complete data lifecycle, including data acquisition, integration, transformation, governance, analytics, and reporting across a diverse portfolio of operational systems and connected technologies.

The organization relies on data to drive key business decisions across operations, finance, human resources, customer engagement, asset management, and strategic planning. This role will transform data from multiple enterprise platforms into a scalable, governed, cloud-based analytics ecosystem that enables trusted insights and empowers business leaders throughout the company.

Success in this position requires a combination of technical leadership, organizational influence, and strategic vision. The VP will lead teams of data engineers and analysts, establish data governance and security standards, partner with executive stakeholders to prioritize investments, and champion a culture centered on data-driven decision making.

Key Responsibilities

Data Platform & Engineering

• Lead the design, implementation, and ongoing evolution of the enterprise data architecture, leveraging the Microsoft Azure ecosystem, including Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Microsoft Fabric, and Power BI.
• Evaluate emerging technologies and modern data architectures, including lakehouse platforms such as Microsoft Fabric, Databricks, and Snowflake, ensuring scalability and alignment with business objectives.
• Direct the development of ETL/ELT processes that consolidate data from enterprise applications, including property management, CRM, HCM, financial systems, procurement platforms, and IoT-enabled devices.
• Establish repeatable and scalable integration frameworks for APIs, third-party data providers, and external system connections.
• Define enterprise standards for data quality, metadata management, master data management (MDM), and data lineage.
• Oversee the development of automated CI/CD processes for data pipelines and ensure operational excellence through monitoring, alerting, and service-level management.

Analytics, Reporting & Business Intelligence

• Lead the enterprise Business Intelligence function and establish best practices around Power BI, including semantic models, workspace governance, row-level security, and self-service analytics capabilities.
• Partner with functional leaders to design, implement, and monitor meaningful KPIs and performance metrics.
• Collaborate with Data Science and AI teams to support advanced analytics, predictive modeling, and emerging AI initiatives.
• Ensure reporting platforms, executive dashboards, and self-service analytics solutions remain accessible, scalable, and governed through a centralized data catalog.

Strategy & Leadership

• Recruit, mentor, and develop a high-performing team of data engineers, analysts, and BI professionals while fostering accountability, innovation, and continuous learning.
• Create and maintain a multi-year data and analytics roadmap aligned with business growth initiatives, technology modernization efforts, and future organizational priorities.
• Serve as a strategic advisor to executive leadership, translating business goals into scalable data and analytics solutions.
• Manage relationships with cloud providers, analytics vendors, and other technology partners, including contract negotiations and technology evaluations.

Data Governance & Security

• Develop and implement a comprehensive enterprise data governance framework covering ownership, stewardship, classification, quality standards, and accountability across business domains.
• Ensure adherence to applicable privacy regulations, industry requirements, and internal security standards.
• Partner closely with information security teams to maintain role-based access controls, audit capabilities, encryption standards, and governance policies across cloud-based data platforms.

Additional Responsibilities

Additional projects and responsibilities may be assigned as necessary to support organizational goals, strategic initiatives, and operational effectiveness.

Core Competencies

Business Acumen

Demonstrates strong strategic and operational understanding of business functions and leverages that knowledge to drive organizational performance and innovation.

Leadership & Talent Development

Builds high-performing teams through mentorship, coaching, and succession planning while developing future leaders.

Collaboration

Effectively leads cross-functional initiatives and fosters strong partnerships across business and technology organizations.

Communication

Communicates complex technical concepts to both technical and non-technical audiences while driving organizational alignment.

Continuous Improvement

Leads transformational initiatives that improve efficiency, scalability, quality, and business outcomes.

Strategic Thinking

Develops long-term strategies that align technology investments with organizational objectives and market opportunities.

Technical Leadership

Provides executive-level guidance on modern data architecture, analytics platforms, and emerging technologies.

Required Qualifications

• 12+ years of progressive experience in data engineering, analytics, data architecture, or related disciplines, including at least 4 years in senior leadership roles.
• Extensive experience with cloud-based data platforms, including the Microsoft Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage).
• Proven expertise designing and managing modern cloud data environments and lakehouse architectures, including Microsoft Fabric, Databricks, and/or Snowflake.
• Demonstrated success delivering enterprise-scale business intelligence solutions utilizing platforms such as Power BI.
• Experience integrating data across complex enterprise ecosystems, including ERP, CRM, HCM, property management, and operational systems.
• Advanced proficiency in SQL and experience with Python or similar scripting languages for data engineering and transformation.
• Strong background building enterprise data governance programs and large-scale data quality initiatives.
• Experience leading organizational change initiatives that promote data literacy and enterprise adoption of analytics-driven decision making.

Preferred Qualifications

• Experience within real estate, multifamily housing, property management, asset management, or similarly complex operational environments.
• Knowledge of dbt, Microsoft Purview, data catalog solutions, and modern data governance frameworks.
• Experience working across multiple cloud analytics ecosystems and evaluating tradeoffs among Microsoft Fabric, Databricks, and Snowflake.
• MBA or advanced degree in Computer Science, Data Science, Information Systems, Analytics, or a related field.
• Relevant certifications such as Microsoft Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks certifications, or SnowPro credentials.

This version is cleaner and more marketable for posting externally while maintaining all of the Azure, Fabric, Databricks, Snowflake, Power BI, governance, and executive leadership requirements from the original role.