Real Estate Data, Digital & Technology Lead

Fresenius Medical Care•Waltham, MA

3d•Remote

About The Position

The Real Estate Data, Digital & Technology Lead is responsible for defining and executing the global data and digital strategy for the enterprise real estate portfolio. This role establishes the data foundations, technology architecture, and digital ecosystem required to enable informed decision-making, operational efficiency, and innovation across real estate, facilities, and workplace functions. As a key leader within the Global Real Estate Center of Excellence (CoE), this role ensures a single source of truth for real estate data, drives advanced analytics and automation, and enables the adoption of emerging technologies. The position partners closely with IT and business leaders to deliver scalable, secure, and integrated solutions that support global strategy, operations, and ESG objectives.

Requirements

Bachelor’s degree in Data Science, Information Systems, Real Estate, Engineering, or related field required.
12+ years of experience in real estate technology, data, analytics, or digital transformation in complex global organizations.
Proven experience developing and executing enterprise data strategies and digital transformation initiatives.
Deep expertise in PropTech ecosystems, IWMS/CAFM platforms, and real estate data models.
Strong experience in data governance, master data management, and system integration.
Demonstrated ability to deliver advanced analytics, predictive modeling, and business intelligence solutions.
Experience with automation technologies (RPA, AI, workflow platforms).
Strong understanding of data privacy, cybersecurity, and regulatory requirements.
Proven ability to manage global vendor ecosystems and technology platforms.
Excellent stakeholder management skills, including partnership with IT and executive leadership.
Strong business acumen, with the ability to translate data into strategic insights and decisions.

Nice To Haves

Master’s degree (e.g., Data Analytics, Information Systems, MBA, MSRED) preferred.

Responsibilities

Define and implement the global data strategy for real estate, facilities, workplace, and capital projects.
Establish and govern data standards, taxonomies, and master data management across key domains (sites, assets, leases, occupancy, projects).
Ensure a single source of truth across systems, geographies, and functions.
Lead global data quality programs, including validation, cleansing, audits, and reconciliation.
Own the global real estate technology ecosystem, including IWMS/CAFM, portfolio planning tools, space management platforms, and project systems.
Define and maintain the technology roadmap and system architecture aligned with business needs.
Govern system integrations across HR, Finance, IT, Security, Procurement, and building systems.
Lead global system implementations, upgrades, and enhancements.
Develop and maintain enterprise dashboards and reporting for: Portfolio performance (cost, utilization, risk), Workplace experience and hybrid work patterns, Capital project performance (cost, schedule, delivery), Sustainability and ESG metrics.
Deliver predictive analytics and scenario modeling (e.g., demand forecasting, portfolio optimization, lease strategy).
Provide executive-level insights and data-driven recommendations.
Drive automation of core real estate processes (e.g., lease lifecycle, space requests, capital planning workflows).
Implement digital tools such as self-service platforms, dashboards, and workflow automation.
Leverage RPA, AI, and advanced analytics to reduce manual effort and improve efficiency.
Identify, pilot, and scale emerging technologies, including: AI-driven space planning and forecasting, Digital twins and smart building platforms, IoT sensors and occupancy analytics, Generative design and advanced modeling tools.
Partner with IT and innovation teams to ensure scalable, secure adoption.
Manage global vendor ecosystem for real estate technology platforms and services.
Establish vendor governance frameworks, including SLAs, performance metrics, and QBRs.
Maintain global standards for interoperability, scalability, and cost efficiency.
Drive global adoption of systems, tools, and data standards.
Develop training programs, playbooks, and user support models (L1–L3).
Enable regional teams through consistent tools and knowledge-sharing platforms.
Ensure compliance with global data privacy regulations (e.g., GDPR, CCPA) and cybersecurity policies.
Support financial and regulatory compliance (e.g., lease accounting standards, SOX controls).
Establish secure data governance and access control frameworks.
Maintain centralized digital libraries for standards, playbooks, templates, and benchmarks.
Ensure version control, accessibility, and global knowledge sharing.
Capture and scale lessons learned and best practices across projects and regions.