Key Responsibilities
Own and define project scope for large, high-complexity CRE enterprise engagements, shaping solutions that fit each client's specific needs.
Prioritize and sequence engineering work across delivery pods, aligning data engineers, software engineers, and data analysts around client priorities.
Serve as the primary technical point of contact with senior client leadership, presenting solutions and building trusted, executive-level relationships.
Partner with Sales and Customer Success during discovery and scoping for enterprise accounts
Translate financial, operational, and leasing requirements into detailed solutions, technical specifications, and data workflows.
Design integrations and data models with Product, Data, and Engineering, leveraging certified connectors (Yardi, MRI, RealPage, Entrata, Argus, Chatham Financial, VTS).
Establish and maintain architecture standards and reusable solution patterns across pods for consistent delivery quality.
Champion an AI-first approach across the pod, identifying where AI and LLM-based tools can accelerate solution design, data mapping, and delivery, and embedding AI-driven capabilities into client solutions where they add value.
Requirements
7+ years in solution architecture, enterprise delivery, or implementation consulting, with a track record on large, high-complexity engagements.
Strong CRE business acumen required — a solid grasp of asset management, financial, and leasing workflows, not just technical exposure to the industry.
Hands-on experience with CRE systems such as Yardi, MRI, VTS, or similar.
Strong data engineering fundamentals: ETL/ELT, data modeling, API-based integrations.
Demonstrated ability to scope and prioritize work across cross-functional, distributed delivery teams.
Executive-level communication and stakeholder management skills.
Comfortable operating in a fast-paced, high-complexity delivery environment.
AI-first mindset, with hands-on experience using AI/LLM-based tools to accelerate solution design, prototyping, or delivery work.
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Expected compensation for this position
140,000.00 – 170,000.00 USD per year
Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location
Remote –New York, NY
If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:
401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
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Accepting applications on an ongoing basis until candidate identified.
