Data Implementation Manager

Jones Lang LaSalle

  • Bangalore, Karnataka
  • Permanent
  • Full-time
  • 9 days ago
JLL empowers you to shape a brighter way.Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.Data Implementation ManagerThe successful candidate will leverage their expertise in data analysis, REST APIs, and integrations by managing all aspects of data discovery and data migration to support multiple client projects on the PRISM platform. This client-centric role requires someone who can understand property management data structures and anticipate client needs while delivering exceptional data solutions that exceed expectations. Must work Eastern Time Zone to accommodate our clients.Key Responsibilities:
  • Lead client-focused data discovery sessions to gather requirements and scope data portion of PRISM implementation projects
  • Configure and execute both native PRISM data import tools and creative custom Python scripts for complex data transformations and migrations
  • Develop innovative data transformation solutions to solve unique property management data challenges
  • Collaborate with internal and external key stakeholders to deliver data-driven solutions with a focus on client satisfaction
  • Act as team lead as the team grows, providing supervision, guidance and mentorship to team members
  • Create and maintain documentation related to data migrations, including data dictionaries and data discrepancy reports
  • Stay current with new technologies, approaches, and best practices in data analytics
Required Qualifications:
  • Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related field
  • Proven experience in data discovery and data mapping (3+ years preferred)
  • Strong data transformation skills across various software CRE platforms and tools
  • Demonstrated ability to work effectively in matrix environment with cross-functional teams.
  • Experience working in SaaS product implementation projects with strong client relationship management skills
  • Demonstrated ability to transform and manipulate property management data for PRISM platform integration
  • Advanced data mapping and transformation expertise with ability to work across multiple data formats and systems.
  • Advanced problem-solving skills with ability to translate client business needs into technical data solutions
  • Understanding of data modeling, ETL processes, and data integration techniques
  • Knowledge of property management data structures and systems is helpful
  • Superior client-facing communication skills with ability to explain complex data concepts in accessible terms
  • Client-first mindset with passion for delivering exceptional customer experiences
  • Ability to manage and prioritize workload across multiple PRISM implementation projects
Preferred Qualifications:
  • Proficiency in Python-related libraries (e.g., NumPy, Scikit-learn) beyond Pandas
  • Experience developing innovative data transformation techniques for property management datasets
  • Leadership or Management experience with ability to guide and develop team members.
  • Knowledge of data visualization tools to effectively communicate insights to clients
  • Experience with cloud-based data platforms and services
  • Familiarity with Agile methodologies
  • Relevant certifications in data analysis or Python programming
  • Experience with version control systems (e.g., Git)
This role offers an exciting opportunity to work with the cutting-edge PRISM platform while prioritizing client relationships. The ideal candidate will combine technical expertise in data transformation with property management knowledge and exceptional client service, developing creative data solutions that address unique business challenges. You will play a key role in ensuring smooth data transitions for our clients while maintaining high standards of accuracy and customer satisfaction, while also growing into a leadership role as our team expands.Location:Remote –Bengaluru, KAScheduled Weekly Hours: 40If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our .For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy .Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at accomodationrequest@am.jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page
I want to work for JLL.

Jones Lang LaSalle

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