Director, Data & Standards at Accommodations Plus International | Melville, NY, US | Rezi

Director, Data & Standards at Accommodations Plus International

Director, Data & Standards

Accommodations Plus International · Melville, NY, US

2 weeks ago

Director, Data & Standards

Accommodations Plus International · Melville, NY, US

15 days ago
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About the Role

The Director, Data & Standards leads API’s data analyst team and owns the standards, governance, and quality practices that make our data trustworthy and usable across the organization. The role also carries forward key parts of API’s AI Enablement program: running AI experiments and pilots, driving adoption of AI tools, and using AI to improve how the data team works and the insights it delivers. You will balance hands-on AI and analytics work with leadership of the team, setting direction, developing people, and raising the bar on how API defines, measures, and uses data.

Responsibilities

  • Lead, coach, and develop a team of data analysts, including hiring, goal setting, performance management, and career growth.
  • Set priorities and manage the team’s workload across Engineering, Client Delivery, and Corporate stakeholders.
  • Review analyst work for accuracy, clarity, and business relevance, and ensure reporting and analysis are timely and decision-ready.
  • Build a culture of curiosity, ownership, and continuous learning, including AI fluency across the team.
  • Define and maintain enterprise data standards, including metric definitions, naming conventions, documentation, and a shared data dictionary.
  • Establish data quality monitoring, validation processes, and issue-resolution workflows, and drive remediation with data owners.
  • Partner with IT, Engineering, and Security on data access, lifecycle management, and compliance requirements.
  • Serve as the authority on “one version of the truth” for key operational and commercial metrics.
  • Run intake, hypothesis design, metric definition, and outcome documentation for data and AI experiments across the organization.
  • Lead go/no-go reviews and graduation-to-production decisions for AI pilots, owning validation evidence, vendor coordination, and integration readiness.
  • Evaluate AI outputs for accuracy and reliability, and set quality standards for AI-generated analysis.
  • Partner to drive training, communications, and enablement for Claude Enterprise and Microsoft Copilot, moving seat utilization from license to behavior.
  • Produce the monthly AI scorecard: experiments launched, seats utilized, automation rates, FTE-equivalent savings, and experiments graduated.
  • Co-lead AI Sandbox operations with Engineering, including use-case intake, prioritization, and graduation criteria.
  • Work with IT and internal stakeholders to identify gaps, surface high-value use cases, and improve return on AI spend.
  • Manage relationships with data and AI tooling vendors and track spend against the approved plan, flagging variances.

Requirements

  • 7+ years of professional experience in data analytics, business intelligence, data governance, or a related field.
  • Working personal fluency with Claude and other enterprise AI tooling (Microsoft Copilot or equivalent), with demonstrated ability to design and document hypothesis-driven experiments.
  • Experience defining data standards, metrics, or governance practices in a cross-functional environment.
  • Strong SQL and experience with BI and visualization tools.
  • Strong written and verbal communication, with the ability to produce executive- and board-quality materials.
  • Comfort operating in ambiguity within a small, fast-moving team.
  • Technical background in computer science, engineering, data, or comparable hands-on experience with software, automation, or AI systems.
  • Experience with data warehousing, data modeling, and data quality tooling.
  • Exposure to voice AI, document automation, or contact-center modernization.
  • Prior experience in a PE-portfolio company or other high-growth, lean environment.
  • Experience in travel, transportation, or logistics.

Skills

  • Data analytics
  • Business intelligence
  • Data governance
  • AI
  • SQL
  • BI tools
  • Visualization tools
  • Data warehousing
  • Data modeling
  • Data quality tooling
  • Voice AI
  • Document automation
  • Contact-center modernization

Location

  • Remote

Work Type

  • Remote
  • Full-time

Experience Level

  • 7+ years of professional experience

Education Level

  • Bachelor’s degree required
  • Technical or quantitative field (computer science, engineering, economics, mathematics, data science) preferred
  • Advanced degree welcome but not required

Salary/Compensations

  • $120,000 - $140,000 USD

About the Company

  • Accommodations Plus International is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.
  • Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.
  • API may use the contact information you provide to communicate about this role, including via text message. See our [Privacy Policy] for details.
  • By clicking "Apply" you agree to Rippling's Terms of Service / User Privacy Notice.

Equal Opportunity

  • Accommodations Plus International is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws.
  • Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.