ABOUT GREYSTAR

​Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development and construction services in institutional-quality rental housing, logistics, and life sciences sectors. Headquartered in Charleston, South Carolina, Greystar manages and operates over $315 billion of real estate in 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages more than 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of more than $78 billion of assets under management, including over $36 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com.

JOB DESCRIPTION SUMMARY

This role acts as the key point of contact for the Operations, Asset Management, Marketing, wider Asset Execution Team & Portfolio Management Teams with regards to all of their data & analytical needs, ensuring that their needs are met through the delivery of a range of products, including but not limited to: PowerBI Dashboards, Machine-Learning Models (Python/R) and relevant AI Tools. At the same time they will act as a key advisor to these teams, guiding them on: how best to interpret their data, improve data collection in the future and ensuring new systems meet the department’s needs from an analytics perspective. Crucial to this role will be an aptitude for creative solution finding and an ability to work with a wide range of stakeholders from across Europe, of varying levels of seniority and a range of technical levels.

JOB DESCRIPTION

Roles & Responsibilities

• Team Management: The role will involve line management of 2-3 BI Developers/Data Analysts. Managing their workload through effective backlog management and identifying most efficient means of meeting business needs will be critical.
• Data Strategy Development: Develop and execute a comprehensive data strategy aligned with the company's business objectives.
• Prioritization & Product Roadmap Planning: Define and prioritize features and functionalities for data products and develop a roadmap that outlines the evolution of data products over time.
• Cross-functional Collaboration: Work closely with cross-functional teams to ensure alignment and successful execution of data product initiatives.
• Data Governance: Establish and enforce data governance policies and best practices
• Data Integration: Collaborate with IT teams and Data Engineering team to integrate and manage data from various sources into the company's data infrastructure.
• Product Development Lifecycle Management: Oversee the end-to-end product development lifecycle including adoption of solutions.
• Performance Monitoring and Analytics: Define key performance indicators (KPIs) and metrics to measure the success and effectiveness of data products.
• Stakeholder Management: Engage with internal stakeholders, external partners, and customers to gather feedback, prioritize requirements, and communicate product updates and enhancements.
• Create and Maintain Product Backlog
• Risk Management: Identify potential risks and challenges associated with data products and develop mitigation strategies to address them proactively.
• Continuous Improvement: Foster a culture of continuous improvement by soliciting feedback, conducting retrospectives, and iterating on data products
• Thought Leadership: Stay abreast of industry best practices, emerging trends, and innovations in data management and product management.
• Manage the process of collecting, organizing, storing and sharing data with an organization.
• Support respective departments with wider process including but not limited to budgeting process, rent setting and leasing process.

Relevant Skills & Qualifications

• Highly competent in PowerBI-including Report creation, DAX, M and Data Modelling (Mandatory)
• Experience in PowerBI-Workspace management and security management (Desirable)
• Highly competent in utilising Databricks or similar data lake and/or data warehouses (Mandatory)
• Experience working to build Machine Learning models (Mandatory)
• Certified Scrum Product Owner (Desirable)
• Certified Product Manager (Desirable)
• Fluent in English (Mandatory)
• Working Level in one of these languages Spanish/German/French (Desirable)
• Experience working in Real Estate (Desirable)
• Experience managing a team (Desirable)