RXR · 4 days ago
Project Lead, AI Transformation & Enablement
RXR is a vertically integrated investment manager with expertise in various value creation activities. The Project Lead, AI Transformation & Enablement role is crucial for embedding AI into daily operations, partnering with business units to assess processes, identify automation opportunities, and build AI solutions that deliver measurable value.
Financial ServicesReal EstateReal Estate Investment
Responsibilities
Conduct structured workflow audits with key business unit stakeholders using a problem-first canvas, mapping current-state processes to identify inefficiencies, decision points, and human-in-the-loop needs
Translate ambiguous business objectives into clear problem statements, system requirements, and success metrics (such as opportunity size, ROI, and level of effort)
Maintain an intake pipeline of AI opportunities; evaluate and prioritize using a standardized scoring framework (impact, effort, risk, adoption readiness)
Define criteria for measuring the success of prioritized use cases (both pilot and post-deployment)
Design AI-first future-state processes for these prioritized use cases and validate with key business unit stakeholders. Determine ability to build these processes using no-code/low-code workflows (e.g., ChatGPT Enterprise paired with MCP servers) or if custom code built by the software & data engineering team is required
For no-code/low-code prioritized use cases, build prototype use cases by developing structured prompts and scenario tests (clearly defining context, inputs, outputs, constraints) to validate via proof-of-concept. For custom code prioritized use cases, work with software & data engineering team to design specifications
Pressure-test and iteratively refine pilots into final deliverables with business leads to ensure reliability, accuracy, and “last-mile” integration into daily operations
Measure post-deployment impact through a clear ROI methodology, partnering with finance and business leads to quantify time savings, cost avoidance, risk reduction, or efficiency gains
Identify trends, gaps, and issues in results to continuously improve how AI workflows operate
Report regularly to the AI Advisory Council on performance, adoption, and value creation
Act as an AI evangelist, leading live demos, workshops, and user testing sessions to help teams understand how, why, and when to use AI
Identify and mentor departmental AI Champions as part of RXR’s hub-and-spoke AI model
Develop and maintain process documentation, prompt libraries, and training content as part of RXR’s AI Acumen Program
Collect user feedback and adoption data to ensure all efforts are optimized
Ensure alignment with RXR’s standards of Responsible AI and Governance
Qualification
Required
Proficiency with enterprise AI platforms (such as ChatGPT and other no/low-code automation tools)
Ability to design and prototype human-centered AI workflows
Expertise in structured problem framing, prompt design, and responsible AI practices
Experience in transformative change management with non-technical stakeholders
Strong understanding of AI platforms (e.g., ChatGPT), prompt engineering, and a broad and diverse background of experimentation with automation tools
Awareness of fairness, risk, and governance implications in AI deployment
Understanding of how users build trust in systems
Ability to discern between functional and cognitive user needs and translate them into clear, intuitive interfaces that support efficient, accurate, and trustworthy user interaction with digital and AI-enabled systems
Ability to convert business goals into AI opportunities through structured scoping frameworks
Ability to clarify ambiguous goals into testable system requirements
Ability to run structured working sessions, manage tradeoffs, align decision-makers, and drive decisions under ambiguity
Skilled in process mapping, automation design, and user-centric prototyping
Ability to develop clear, structured prompts, scenarios, and requirements
Clear communicator who can drive adoption among nontechnical users
Comfortable with KPI definition, data collection, and value realization analysis
3–5 years in management consulting, technology consulting, digital/automation/AI transformation, or other similar roles
Preferred
Bachelor's degree strongly preferred; quantitative field of study preferred
Advanced certification or training in AI or automation is helpful
User-interface design expertise a plus
Product management experience a plus
Real estate, finance, or construction experience a plus
Benefits
Bonus eligible.
Company
RXR
RXR an innovative investor, developer and place-maker committed to applying a customer and community-centered approach to building properties, services, and products that create enduring value for all stakeholders.
Funding
Current Stage
Late StageTotal Funding
$1.6B2025-10-07Private Equity· $1.45B
2010-07-07Private Equity· $150M
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2025-10-16
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