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RemoteUnited States only
Published
Role
Fullstack
Experience
Senior
Employment
Full-time
$180k–$200k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior enterprise data leadership role unifying analytics, data science, ML, and AI; reports to CTO; leads data strategy, governance, and team during consolidation phase.

Core skills

dbt/Snowflake/Tableau/Power BI/LookerTableau/Power BI/Looker

Required skills

Python/scikit-learn/PyTorch/Hugging FaceBigQuery

What you'll do

  • Define and lead an integrated data strategy spanning analytics & reporting, data science, machine learning, and AI - aligned to Vibrant's goals and program priorities.
  • Serve as Vibrant's senior data executive: advising the CTO, executive leadership, and the Board on data capabilities, AI adoption, and investment priorities.
  • Build and manage the departmental roadmap, establishing the organizational architecture and roal definitions.
  • Lead Vibrant's data governance council responsibilities, including oversight of data standards, KPI frameworks, and program data sharing requirements.
  • Own budget planning, tracking, and forecasting for the Data function, ensuring spend aligns with approved FY budgets, funding stream requirements, and grant compliance obligations
  • Manage the AI use approval pipeline with internal and external leadershipo: preparing documentation, use case justifications, and responsible AI assessments for all AI/ML deployments under the cooperative agreement.
  • Lead the strategy, architecture, and delivery of Vibrant's enterprise analytics and reporting platform, supporting operational, compliance, and strategic reporting needs across programs and corporate functions.
  • Ensure delivery of program-required reporting, including automated dashboards for network operational and quality metrics, crisis contact center performance reporting, and federally mandated data submissions.
  • Design and deliver executive dashboards and performance scorecards for Vibrant's leadership team, Board of Directors, and crisis center network.
  • Own the data governance framework for reporting outputs: data definitions, lineage documentation, and quality assurance protocols.
  • Evaluate and implement BI and analytics tooling (e.g., Tableau, Power BI, Looker) to modernize Vibrant's reporting infrastructure.
  • Lead Vibrant's response to audit and compliance data requests, including federal OIG reviews and GAO inquiries.
  • Champion data accessibility and health equity analytics across Vibrant's programs, ensuring disaggregated reporting by race, ethnicity, geography, and other equity dimensions.
  • Oversee development and deployment of machine learning models across use cases including crisis risk stratification, call routing optimization, quality assurance automation, NLP-driven conversation analytics, and population health analytics.
  • Establish responsible AI governance frameworks, including bias auditing, model explainability, and ethical review protocols appropriate for behavioral health contexts and required by the program.
  • Partner with the peers to advance the research agenda, maintain scientific standards, and translate research findings into production-ready models.
  • Evaluate and integrate emerging AI technologies - including large language models and generative AI - with appropriate rigor, human-in-the-loop safeguards, and program approvals for mission-critical applications.
  • Ensure all AI/ML systems meet regulatory requirements.
  • Build, develop, and retain a high-performing data organization spanning Analytics & Reporting, Data Science, ML Engineering, MLOps, AI Ethics, Data Quality, and Data Governance functions.
  • Manage and mentor direct reportsManage the analytics and data science product roadmap in partnership with internal teams, ensuring data investments are sequenced against program stakeholder needs and regulatory requirements.
  • Represent Vibrant's data and AI capabilities in external partner engagements, grant applications, and public health research contexts.
  • Other duties as assigned.

What they require

  • Executive-level experience defining and executing integrated data strategies spanning analytics, business intelligence, data science, and AI within complex, mission-driven organizations.
  • Deep expertise in enterprise analytics, BI platform architecture, and modern data stack technologies (e.g., dbt, Snowflake, Tableau/Power BI/Looker).
  • Strong command of data science and machine learning: proficiency in Python-based ML ecosystems (scikit-learn, PyTorch, Hugging Face), end-to-end model lifecycle management, NLP, and responsible AI.
  • Proven ability to build, scale, and lead high-performing multidisciplinary data teams across analytics, data science, and ML engineering functions.
  • Demonstrated experience establishing responsible AI frameworks - bias detection, model explainability, and ethical review - in high-stakes, human-centered environments.
  • Strong understanding of HIPAA, 42 CFR Part 2, federal data governance requirements, and AI compliance in health and human services contexts.
  • Ability to translate complex data and AI concepts into clear, actionable insights for executive leadership, Board members, federal partners, and non-technical stakeholders.
  • Experience partnering cross-functionally with Product, Engineering, Legal, and Compliance teams to govern and deploy data and AI capabilities responsibly.
  • Demonstrated commitment to advancing health equity analytics, inclusive data practices, and mission-aligned AI adoption.
  • 12+ years of progressive experience in analytics, data science, or data leadership roles, with at least 5 years in a senior leadership capacity with direct accountability for both analytics and data science or ML functions.
  • Bachelor's degree in a quantitative field required; Master's degree or higher preferred (Computer Science, Statistics, Data Science, Public Health, or related field).
  • Demonstrated experience leading programs, teams, or operational units across multiple data disciplines, with accountability for project execution, team performance, and cross-functional delivery.
  • Deep expertise in BI platforms (Tableau, Power BI, Looker, or equivalent), modern data stack technologies (dbt, Snowflake, BigQuery), and ML/AI frameworks (PyTorch, scikit-learn, Hugging Face, or equivalent).
  • Proven track record building enterprise data infrastructure and applied AI/ML programs in complex, regulated environments.
  • Experience in mission-driven, nonprofit, healthcare, government, or other highly regulated environments, with familiarity in compliance-driven reporting and data governance frameworks preferred.
  • Experience with SAMHSA-funded programs, federal cooperative agreements, or similarly regulated grant environments strongly preferred.

Benefits

  • Full time employees will be eligible for excellent comprehensive benefits, including medical, dental, vision, supplemental income insurance, employer paid disability insurance, employer paid life insurance, pre-tax FSA for medical and dependent care, and 401K available.

Nonprofit mental health organization delivering technology-enabled services, community wellness programs, advocacy and education.

Healthcare
$180k–$200k/yr