VP, Data & Analytics

Position Summary
Reporting to the Head of Technology, the Vice President, Data & Analytics will build and lead the enterprise data platform that powers decisions across our 400+ communities and 110,000+ apartment homes. This executive owns the full data lifecycle — from ingestion out of our core operational systems (property management, CRM, HCM, financial, and procurement platforms) and site IoT devices, through cloud-based transformation pipelines, to governed self-service insights for mission-critical business functions.

Data is the connective tissue of our business. Every leasing decision, maintenance workflow, rent optimization signal, and capital allocation choice is better when grounded in clean, timely, trustworthy data. Today that data lives across rich but complex operational systems. This VP will transform it into a governed, cloud-native analytics platform — anchored on the Microsoft Azure data stack with Power BI as the analytics layer — that the entire organization can rely on.

Success in this role is equal parts architecture and influence. The VP will build and mentor a high-performing team of data engineers and analysts, set the data governance and security standards that protect resident and employee information, partner with senior leaders to prioritize data investments, and lead the cultural shift to data-driven decision-making across the enterprise.

Essential Duties
Data Platform & Engineering

Lead the transformation of fragmented operational data into a scalable, governed, cloud-native enterprise data platform that supports reliable reporting, analytics, AI, and decision-making across the organization
Design and own the end-to-end enterprise data architecture on our cloud platform - anchored today on the Microsoft Azure data stack (Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics / Microsoft Fabric) with Power BI as the analytics and reporting layer
Continuously evaluate and evolve the platform architecture - including modern lakehouse and cloud data platforms such as Microsoft Fabric, Databricks, and Snowflake - to support continued portfolio growth and evolving business needs
Lead the strategy, architecture, and delivery of scalable ETL/ELT capabilities that integrate data from core operational systems—including property management, CRM, HCM, financial, procurement, and IoT/smart-home devices—into centralized data warehouse and lakehouse environments
Establish scalable, well-documented data integration patterns for source-system APIs and third-party vendor feeds
Define and govern data quality standards, master data management (MDM) practices, and data lineage documentation across all source systems.
Build and maintain robust CI/CD pipelines for data workflows, ensuring monitoring, alerting, and SLA adherence for mission-critical data products

Analytics, Reporting & Business Intelligence

Own the enterprise business intelligence center of excellence - anchored on Power BI - establishing semantic model standards, row-level security frameworks, workspace governance, and self-service enablement for multiple business functions (e.g. property management, leasing, HR, finance, etc.)
Partner with business functions to develop and publish KPIs

Partner with Data Science, Technology, and business leaders to establish the data foundations required for advanced analytics, AI, and emerging technology initiatives, ensuring models and solutions are supported by reliable, governed data

Ensure all reporting layers (operational dashboards, executive scorecards, ad-hoc self-service) are accessible, performant, and governed through a clearly documented data catalog

Strategy & Leadership

Build, mentor, and lead a high-performing team of data engineers and analysts; define career ladders and foster a culture of curiosity and accountability
Develop, execute, and continuously refresh the enterprise data and analytics roadmap, aligning investments with Morgan Properties' growth strategy, acquisitions pipeline, technology modernization priorities, and evolving business needs
Partner with senior leaders across the organization to prioritize data investments and translate business outcomes into engineering requirements
Manage strategic vendor and platform relationships (cloud, BI, and data tooling providers); negotiate contracts and evaluate emerging technologies
Translate complex data and analytics capabilities into actionable business insights and recommendations, helping senior leaders identify opportunities, manage risk, improve operational performance, and make informed investment decisions

Data Governance & Security

Implement a formal data governance framework - spanning people, process, and technology - covering ownership, classification, quality metrics, and stewardship across data domains, using a federated model that centralizes platform and standards while embedding domain ownership in the business
Ensure compliance with applicable data privacy regulations (e.g., state-level tenant data laws, Fair Housing data considerations) and internal information security policies
Collaborate with IT Security to enforce access controls, audit logging, and encryption standards for all data assets across the cloud environment

Additional Duties: Tasks or duties not outlined in this job description may be required to contribute to the organization's success and efficiency.

Qualifications
Required

12+ years of progressive experience in data engineering, analytics, or data architecture, with at least 4 years in a senior leadership role managing cross-functional teams.
Deep hands-on expertise with a modern cloud data stack; direct experience with the Microsoft Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage) strongly preferred.
Hands-on experience architecting and operating one or more modern lakehouse / cloud data platforms - such as Microsoft Fabric, Databricks, or Snowflake - with the judgment to select the right tool for a given workload.
Proven track record delivering enterprise BI solutions at scale (e.g. PowerBI)
Experience integrating data from complex, multi-module enterprise systems (ERP, PMS, CRM, or HCM); familiarity with real estate or property management platforms is a plus.
Strong command of SQL and at least one scripting language (Python preferred) for pipeline development and data transformation.
Demonstrated ability to build data governance programs, manage data quality at scale, and communicate data strategy to non-technical executive stakeholders.
Experience leading organizational change - including upskilling business teams, establishing data literacy programs, and managing the cultural shift to data-driven decision-making.

Preferred

Experience in multifamily real estate, property management, or a related real estate asset class.
Exposure to dbt (data build tool), data cataloging and governance tools (e.g., Microsoft Purview), and modern data-quality frameworks.
Experience operating across more than one cloud data platform, with a point of view on the tradeoffs between Microsoft Fabric, Databricks, and Snowflake.
MBA or advanced degree in Computer Science, Data Science, Information Systems, or a related field.
Relevant cloud or data certifications (e.g., Microsoft Azure Data Engineer Associate, Azure Solutions Architect, Databricks, or SnowPro).

Physical Requirements & Work EnvironmentReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job.
Physical Demands:

This role requires prolonged periods of sitting at a desk and working on a computer. Occasional standing, walking, and lifting. The role involves frequent use of standard office equipment, such as computers, phones, and printers.

Work Environment:

Primary work environment: Office (hybrid)
Noise level: Quiet to moderate
Work schedule: Monday–Friday