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Jones Lang LaSalle

Advises on and manages commercial real estate

Project Intake Developer - D&C Project Controls Program

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • Four to six years of experience in software development, platform engineering, or technical product management within corporate real estate, facilities management, design and construction, or professional services environments.
  • A proven track record of managing customer complaints and translating user feedback into product improvements.
  • Experience designing and building dashboards and performance reports that drive operational decision-making.
  • A proven track record of improving data quality and using data to drive process improvement and operational efficiency.
  • Proficiency in one or more programming languages, such as Python, JavaScript/TypeScript, or Java, with experience in web application development, API design, and database management using SQL or NoSQL.
  • Experience using ticketing systems such as SIM, Jira, ServiceNow, or equivalent to triage, track, and resolve customer-reported issues within service-level agreement targets.
  • Ability to design, build, and maintain dashboards and reports using tools such as QuickSight, Tableau, Power BI, or similar platforms, and to communicate data through visualizations.
  • A customer-first approach to resolving issues and communicating transparently with stakeholders.
  • Ownership of the platform, including proactively identifying and fixing problems before they escalate.
  • Ability to adapt and work with ambiguity in a dynamic environment with evolving products and technology.

Responsibilities

  • Serve as the technical point of contact for customer-reported issues, bugs, and service disruptions related to the Project Intake platform.
  • Triage, diagnose, and resolve platform defects by performing root-cause analysis and implementing permanent fixes to prevent recurrence.
  • Maintain an issue-tracking workflow using SIM or equivalent ticketing systems to log, prioritize, and resolve customer complaints within defined service-level agreements.
  • Analyze complaint trends and recurring issues to identify systemic platform weaknesses and inform the product improvement roadmap.
  • Communicate resolution timelines and status updates to affected customers and stakeholders.
  • Own the product backlog for the Project Intake platform, gathering requirements from customers, intake coordinators, analysts, and leadership to prioritize feature enhancements.
  • Design, develop, test, and deploy new features and functionality that improve intake workflows, data-capture accuracy, and user experience.
  • Use AI-enabled tools and platforms, including Amazon Q, Amazon Quick Suite, and internal machine-learning or natural-language-processing solutions, to build intelligent automation such as smart routing, auto-classification, and predictive triage.
  • Collaborate with user-experience and user-interface stakeholders to ensure feature designs are intuitive, accessible, and aligned with customer needs.
  • Conduct user acceptance testing with stakeholders and iterate based on feedback before production release.
  • Develop and maintain APIs and integrations connecting the intake platform with downstream project-execution systems, reporting tools, and data warehouses.
  • Maintain the platform's stability, performance, and security through proactive monitoring, patching, and infrastructure management.
  • Manage platform deployments, version control, and release cycles, maintaining a continuous integration and continuous delivery pipeline and minimizing downtime during updates.
  • Conduct code reviews, technical-debt assessments, and performance optimization to maintain platform health and scalability.
  • Maintain technical documentation, including system architecture diagrams, runbooks, deployment procedures, and configuration guides.
  • Implement and monitor data-validation rules, error handling, and logging to ensure data integrity across the intake pipeline.
  • Establish and maintain disaster-recovery procedures and backup protocols for platform data and configurations.
  • Develop and execute change communications for platform updates, including feature releases, bug fixes, scheduled maintenance, and deprecations.
  • Create customer-facing release notes, knowledge-base articles, frequently asked questions, and training materials explaining changes and their impact on users.
  • Design, build, and maintain interactive dashboards using QuickSight or similar tools to show real-time intake key performance indicators, including time-to-assignment, service-level agreement adherence, request completion rates, routing accuracy, and workload distribution across AMER, EMEA, and APAC.
  • Develop self-service reporting solutions that allow stakeholders and leadership to explore intake data independently.
  • Create executive-ready visualizations and narratives that explain complex data to D&C Project Controls leadership.
  • Iterate on dashboard design based on user feedback, evolving business needs, and new data sources.
  • Analyze intake data across new construction, renovations, and small-scale projects to identify volume trends, bottlenecks, cycle-time variances, and resource-allocation patterns.
  • Assess data quality and integrity by identifying inconsistencies, gaps, duplicates, and classification errors in intake datasets and recommending corrective actions.
  • Develop and implement data-cleansing, standardization, and enrichment processes to improve the reliability and usability of intake data.
  • Monitor and validate AI-triage output quality by flagging misclassifications, calibrating confidence thresholds, and providing feedback to improve model accuracy.
  • Design and implement AI-assisted workflows for document review, scope extraction, and compliance-gap identification within intake submissions.
  • Use data analysis, customer feedback, and AI insights to identify inefficiencies in intake workflows and propose evidence-based improvements.
  • Develop and refine scoring models, routing criteria, and prioritization frameworks based on historical performance data.
  • Contribute to establishing and monitoring service-level agreements and performance benchmarks.

Desired Qualifications

  • Knowledge of Amazon business-intelligence tools, such as Quick Suite, and internal natural-language-processing or machine-learning platforms.
  • Hands-on experience with AI-enabled tools, generative AI platforms, or machine-learning applications in a business context.
  • Familiarity with in-house AI tools such as Amazon Q, Amazon Quick Suite, and internal natural-language-processing or machine-learning platforms.

About the Company

Jones Lang LaSalle

Advises on and manages commercial real estate

Jones Lang LaSalle, known as JLL, advises property owners, occupiers and investors on commercial real estate worldwide. Its teams broker leases and property sales, arrange financing, value assets, manage buildings and workplaces, and oversee construction projects for businesses, institutions and governments. LaSalle Investment Management invests client capital in private property and real estate securities, while JLL Technologies develops workplace software and data tools. The company earns commissions, service fees, investment management fees and software revenue, with some client operating costs reimbursed through contracts. JLL took its current form through a 1999 merger and is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1999

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