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SENIOR MANAGER, HOMELESS SERVICES
The Senior Manager serves as a master-level technical leader providing strategic, technical, and thought leadership on Homeless Management Information Systems (HMIS), HUD data standards, and advanced data infrastructure supporting homelessness response systems. This role designs, architects, and guides complex data solutions-leveraging programming, automation, and modern analytics-to improve data quality, interoperability, equity outcomes, and system performance at local, state, and federal levels.
This position is recognized as an organization-wide and external expert and plays a critical role in shaping data strategy, advancing innovation, and influencing how HMIS and related systems are governed, implemented, and used to prevent and end homelessness.
Key Responsibilities
Strategic & Technical Leadership

• Serve as a senior technical authority and thought leader on HMIS architecture, HUD data and reporting standards, privacy and security requirements, and system interoperability.
• Shape and influence organizational and client strategies related to data systems, performance measurement, and data use across homelessness response systems.
• Lead the design of scalable, reusable data solutions that support federal reporting (e.g., LSA, SPMs, APRs, PIT/HIC) while enabling advanced analytics and local innovation.
• Provide consultative leadership to clients, funders, and senior stakeholders on complex HMIS and data-system challenges, influencing decisions in sensitive or high-impact contexts.

HMIS & Data Standards Expertise

• Interpret, operationalize, and advise on HUD HMIS Data Standards, CSV/XML specifications, federal reporting logic, data quality frameworks, and comparable database requirements.
• Design validation rules, data quality automation, and compliance monitoring processes that improve completeness, accuracy, timeliness, and consistency of HMIS data.
• Guide governance structures and policies related to data sharing, privacy, security, consent, and ethical data use.
• Mentor HMIS Leads, System Administrators, and data teams on advanced implementation practices and emerging standards.

Programming, Automation & Advanced Analytics

• Lead development of custom data pipelines, integrations, and automation using programming and scripting languages (e.g., SQL, Python, R, JavaScript) to streamline reporting and analysis.
• Design and implement data transformations, APIs, and automated workflows for HMIS exports/imports, cross-system data exchange, and real-time dashboards.
• Apply advanced analytical methods-including disaggregated equity analysis, longitudinal analysis, and system modeling-to inform policy, funding, and performance decisions.
• Evaluate and guide responsible use of emerging technologies (e.g., APIs, cloud platforms, AI-assisted analytics) within homeless response data systems.

Thought Leadership, Knowledge Sharing & Innovation

• Contribute to white papers, technical guidance, conference presentations, and other publications that advance best practices in HMIS, data standards, and performance measurement.
• Stay at the forefront of federal policy changes, technical standards, and industry innovations, translating them into actionable guidance for teams and clients.
• Foster cross-disciplinary collaboration between program, policy, and technical staff to ensure data solutions are practical, equitable, and mission-aligned.

Mentorship & Organizational Impact

• Informally mentor and develop staff across multiple levels, strengthening organizational capacity in HMIS, analytics, and coding.
• Serve as a trusted internal resource and escalate complex technical judgment calls with confidence and independence.
• Support business development and proposal efforts by defining technical approaches, scopes of work, and resource requirements related to data systems and analytics.

Required Qualifications

• Minimum 15 years in Homeless Management Information Systems (HMIS) data, architecture, reporting, and policy.
• Minimum 10 years supporting technical assistance homeless programs.
• Deep, demonstrated expertise in HMIS implementation, HUD data standards, and federal homeless assistance reporting requirements.
• Advanced proficiency in programming and data-related languages, such as:
  • SQL (advanced querying, optimization, and data modeling)
  • Python and/or R for data processing, automation, and analysis
  • Familiarity with APIs, ETL processes, and data integration workflows
• Extensive experience translating complex technical concepts to non-technical stakeholders.
• Proven ability to exercise independent judgment on complex, ambiguous, high-impact technical issues.

Preferred Qualifications

• Experience designing or modernizing data warehouses or cloud-based analytics environments supporting HMIS or human services data.
• Demonstrated leadership in effective data practices, including disaggregation, community-informed metrics, and ethical data use.
• Experience influencing federal, state, or large-system data strategy or policy.

Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$108,476.00 - $184,409.00
Nationwide Remote Office (US99)