Cherre logo
Cherre

Follow Your Data

Managed Data Services Lead – Enterprise Account

Location

United States

Posted

1 day ago

Salary

$125K - $150K / year

Seniority

Senior

Bachelor Degree6 yrs expEnglish

Job Description

Managed Data Services Lead – Enterprise Account

Cherre

• Own the end-to-end oversight of the client’s monthly and/or quarterly data submission cycle, ensuring all third-party data providers are progressing accurately and on time. • Lead and direct a team responsible for day-to-day submission tracking, provider outreach, and workflow management. • Establish and oversee a structured internal review process for data exceptions, ensuring issues are thoroughly assessed and remediated before reaching the client. • Drive resolution of data quality issues across real estate financial data types including Trial Balances, General Ledgers, loan data, aging schedules, and property-level reporting. • Serve as the final internal decision-maker on escalations, ensuring the client receives only well-documented, fully vetted issues. • Oversee source-specific data mapping for providers submitting raw financial data, Oversee raw data intake and mapping to client systems, ensuring field-level accuracy and continuity as source systems evolve. • Partner with internal technical teams to maintain data integrity across all provider submissions on the Cherre platform. • Manage the assignment, configuration, and ongoing governance of standardized reporting templates across a diverse provider base and asset class portfolio. • Maintain and evolve business rule validation logic, proactively identifying gaps and driving improvements in data quality standards. • Serve as the senior escalation point for third-party data providers, including property managers, fund administrators, and asset managers. • Build and maintain strong provider relationships, ensuring a high-quality, responsive support experience through a well-managed team. • Champion a tech-forward approach to service delivery, leveraging the Cherre platform and agentic AI tools to continuously improve efficiency and provider experience. • Own the enterprise account Information Provider Standard Operating Procedures, ensuring documentation is current, comprehensive, and scalable. • Own enterprise account performance reporting, delivering actionable insights on submission health, data quality trends, and operational performance to client stakeholders. • Maintain governance standards across user access, escalation tracking, and data quality logging in alignment with enterprise account requirements.

Job Requirements

  • 6-10 years of experience in real estate data management, financial reporting operations, or managed services delivery.
  • Strong foundation in property-level financial data, including General Ledger structures, Trial Balances, loan data, rent rolls, operating statements, and variance analysis.
  • Demonstrated experience managing and developing teams in a structured, high-volume data operations environment with multiple concurrent stakeholders.
  • Proven ability to serve as a senior client-facing representative, managing escalations and delivering executive-level reporting to sophisticated institutional audiences.
  • Hands-on experience interfacing with property managers, asset managers, and fund administrators as data providers.
  • Familiarity with data submission platforms, ticketing systems, and SLA-driven service delivery.
  • Excellent written and verbal communication skills, with the ability to translate complex data issues into clear, actionable summaries for both technical and non-technical audiences.
  • Demonstrated interest in and comfort with technology-forward approaches, including automation and AI-assisted workflows.

Benefits

  • Competitive Base Salary: Enjoy a salary range of $125,000-150,000/year, commensurate with experience and performance.
  • Attractive Healthcare Plans: Access comprehensive health, dental, and vision insurance plans to ensure you and your family stay healthy and well-supported.
  • Paid Parental Leave: We offer generous paid parental leave to help you balance family and work commitments during those important early days.
  • Unlimited PTO: Recharge and maintain work-life balance with our unlimited PTO policy, giving you the flexibility to take time off when you need it.

Related Categories

Related Job Pages

More Data Scientist Jobs

Thoughtworks logo

Lead Data Scientist

Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. Over 30 years of delivering extraordinary impact with clients. Helping clients solve complex business problems with technology as the differentiator.

Full TimeRemoteTeam 10,001

Role Description Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms, and data mining methodologies to render business value and illuminate data-driven insights. - Lead and manage data science projects from inception to completion, including goal-setting and scope definition. - Collaborate with stakeholders to understand strategic objectives and identify opportunities to leverage data for AI and machine learning. - Responsible for overall AI system design, problem framing, governance, and risk management. - Design, develop, and implement data science strategies that drive measurable business results. - Design experiments for rapid testing of ideas and assumptions. - Select machine learning models for production deployment using quality metrics. - Communicate technical findings and insights to stakeholders clearly and concisely. - Contribute to the growth of the data science community and promote data literacy within the organization. - Address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). - Work with CD4ML practices and data versioning tools. Qualifications - Experience in leading the analysis and modeling of different datasets and overseeing model deployment. - Experience with statistical modeling, hypothesis testing, machine learning, deep learning, and optimization. - Specialty in at least one area of AI (e.g., NLP, computer vision, Generative AI). - Experience with R, Python, or equivalent statistical/data analysis tools. - Ability to gather and preprocess large volumes of structured and unstructured data. - Analyze datasets using statistical and visualization techniques. - Develop and implement machine learning models and predictive analytics. - Evaluate model performance and validate models for robustness. - Interpret and communicate findings to non-technical stakeholders. - Ensure compliance with data privacy regulations and ethical standards. Requirements - Understand the importance of stakeholder management and liaise effectively between clients and stakeholders. - Resilient in ambiguous situations and adaptable to challenges. - Proactively manage risks and conflicts. - Eager to coach, mentor, and motivate others. - Advocate for technical excellence while being open to change. - Proven leader with a track record of encouraging professional development. - Strong relationship-building skills to create new opportunities. Benefits - Autonomy in career development supported by interactive tools and development programs. - Supportive teammates who want to help you grow. Company Description Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. - Over 30 years of delivering extraordinary impact with clients. - Helping clients solve complex business problems with technology as the differentiator. - Commitment to continuous learning and professional growth.

Peru
Full TimeRemoteTeam 10,001+Since 1961H1B Sponsor

• Define and execute the analytical framework for evaluating agent and channel performance across a multichannel distribution model • Design and implement predictive models supporting growth opportunity identification, customer experience, retention risk, and channel optimization • Conduct program evaluation using experimental and quasi-experimental methods to establish causal impact of business initiatives • Translate analytical findings into clear, actionable recommendations for senior leadership • Set and prioritize the analytical agenda independently, focusing on the highest-value questions • Operate effectively in a data environment that is not fully controlled or curated, maintaining rigor despite imperfect inputs

Kentucky + 4 moreAll locations: Kentucky | North Carolina | North Dakota | Ohio | Oklahoma
$142.3K - $195.7K / year
Full TimeRemoteTeam 51-200Since 2017H1B Sponsor

• Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6. • Act as a technical mentor that can dive deep and provide detailed direction. • Lead planning, resourcing and communications with senior leadership, product and engineering teams. • Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines. • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. • Research new types of fraud and develop new SentiLink products around identity verification. • Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. • Write production-ready code that can be relied on for real-time decision making by our partners. • Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.

United States
$210K - $260K / year
Edetek logo

Clinical Data Manager

Edetek

This is a remote position, and we are open to candidates based in the United States. EDETEK is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual’s race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status or any other status protected by applicable law.

Role Description The Clinical Data Manager (CDM) handles project management documentation, clinical data management activities, and system implementations for EDETEK’s eClinical, and may be assigned work on other platforms. This includes writing design specifications for the system (forms, reports, etc.) and facilitating testing of system implementations. The CDM is responsible for all other traditional clinical data management operations and activities such as: - Facilitating database audits - Coding - SAE reconciliation - System and module testing - Data cleaning - Locking and unlocking of clinical databases The CDM is responsible for translating the client’s Clinical Data Management requirements and expectations into DMP and implementing the clinical data management plans so that the clients’ expectations are met. The CDM is responsible for the quality and integrity of the data in the final locked clinical database. The CDM should thoroughly understand the requirements for Good Clinical Data Management services, including its documentation; be willing to be involved in start-up or wrap-up of in-house and client-specific data management projects; have an understanding of the relevant therapeutic indications, study hypotheses, and trial design; and have a solid understanding of database design and structure. Qualifications - Ability to communicate effectively in the English language in person, by phone and in writing. - Ability to lead functional meetings. - Strong attention to detail and accuracy is a must. - Excellent organizational skills. - Demonstrated ability to manage multiple projects. - Ability to work collaboratively, effectively, and productively in diverse organization structures. - Ability to work independently, take initiative and complete tasks to deadlines. - Ability to work in a team-oriented, collaborative environment. - Ability to work positively within a continually changing environment. - Ability to effectively prioritize and execute tasks in a high-pressure environment. - Advanced computer skills and practical knowledge of MS Office and potentially project management software. Requirements - A Bachelor’s degree or equivalent combination of Education/Training/Experience is required. - A degree in a scientific, medical, or technological discipline is preferred. - A minimum of 2 years of clinical trial or clinical data management experience or similar industry experience/training is required. - Prior trial responsibility for the entire data management life-cycle is desirable. - Working knowledge of EDC studies and SAS is required. Benefits - Choice of comprehensive Medical, Vision and Dental Insurance plans. - Paid vacation time and sick days. - Corporate holidays annually. - Participation in the 401K Plan. - Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc. - Health Advocate and Employee Assistance Program. Location This is a remote position, and we are open to candidates based in the United States and South America. Equal Opportunity Employer Statement EDETEK is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual’s race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status or any other status protected by applicable law. This policy applies to all terms, conditions and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination. Whenever possible, the company makes reasonable accommodations for qualified individuals with disabilities to the extent required by law.

Northern America + 1 moreAll locations: Northern America | South America