What are the responsibilities and job description for the Quality Assurance Manager position at HELP USA?
Location: 115 E. 13th Street, New York, NY 10003
Position Summary:
HELP USA is seeking a Quality Assurance Data Manager to lead the validation, auditing, and enhancement of data integrity across its transitional housing, permanent supportive housing, and homelessness prevention programs. This role is pivotal in ensuring high-quality data collection and analysis, particularly in the context of critical incidents and service delivery. The ideal candidate will bring advanced data science skills, including experience with Artificial Intelligence (AI) and Large Language Models (LLMs), to support HELP USA’s transition toward AI-enabled research and compliance workflows.
Key Responsibilities:
Quality Assurance & Data Validation
- Design and implement robust data validation protocols across CARES (NYC government-owned) and AWARDS (Foothold Technologies) platforms.
- Audit incident, service, and outcome data entered by social workers to ensure accuracy, completeness, and consistency.
- Develop cross-platform reconciliation tools to align data between CARES and AWARDS, especially for incident reporting and service delivery metrics.
AI-Driven Data Analysis
- Deploy and manage LLMs and AI agents to analyze large volumes of free-text case notes, identifying patterns in client behavior, staff interventions, incident types, and housing and service outcomes.
- Collaborate with the research team to extract insights from qualitative and quantitative data for predictive modeling and service improvement.
- Support the development of AI workflows that enhance housing placement outcomes and reduce priority one incidents.
Compliance & Reporting
- Ensure data handling complies with HIPAA, NYC DSS/DHS regulations, and HELP USA’s data sharing agreements.
- Generate regular QA reports for internal stakeholders and external partners, including DHS and HRA.
- Maintain documentation of QA protocols, audit trails, and data correction procedures.
Collaboration & Training
- Work closely with IT, social services, and research teams to improve data entry practices and system interoperability.
- Train staff on data quality standards, incident documentation, and AI-supported tools.
- Serve as a liaison between HELP USA and external partners (e.g., DHS, HRA) on data integrity and compliance matters.
Required Qualifications:
- Bachelor’s degree in Data Science, Public Health, Social Work, or related field (Master’s preferred).
- 3 years of experience in data quality management, preferably in human services or housing programs.
- Experience with CARES, AWARDS, and NYC DHS/HRA data systems or similar systems.
- Strong analytical and writing skills
- Strong understanding of data privacy, compliance, and ethical standards in social services.
Compensation
Actual compensation will not be less than the applicable minimum wage, prevailing wage, or exempt salary requirements under federal, state and local laws.
We Have GREAT BENEFITS!
- Health insurance through Cigna, including dental and vision, with an option that covers the entire family with minimal employee contribution.
- Generous Paid Time Off!
- 401(k) with Company contribution, even if the employee doesn't contribute.
- And More!
Who We Are
At HELP USA, we work to ensure that everyone has a place to call home. We’re one of the nation’s largest non-profit homeless services providers and low-income housing developers serving at-risk populations, including families, individuals, veterans, survivors of domestic violence, people with physical and mental health challenges and disabilities, and seniors. With an annual operating budget approaching $150 million and 1400 employees working in nearly 60 programs, we have helped over 500,000 people facing homelessness and poverty to build better lives. We hope that you will consider joining our team in the fight against homelessness.
EOE. A Drug-Free Workplace.
Salary : $75,000 - $85,000