Director, Data & Standards

Accommodations Plus International•Melville, NY

19h•$120,000 - $140,000•Remote

About The Position

The Director, Data & Standards leads API’s data analyst team and owns the standards, governance, and quality practices that make data trustworthy and usable across the organization. The role also advances API’s AI Enablement program by running AI experiments and pilots, driving adoption of enterprise AI tools, and applying AI to improve the data team’s work and insights. It balances hands-on AI and analytics work with team leadership, setting direction, developing people, and improving how API defines, measures, and uses data. This is a remote position. The Director leads, coaches, and develops data analysts; sets priorities across Engineering, Client Delivery, and Corporate stakeholders; reviews work for accuracy and business relevance; and promotes curiosity, ownership, continuous learning, and AI fluency. The role defines and maintains enterprise data standards, metric definitions, naming conventions, documentation, and a shared data dictionary; establishes data-quality monitoring and remediation practices; partners on data access, lifecycle management, and compliance; and serves as the authority on key operational and commercial metrics. The position oversees intake, hypothesis design, metric definition, and outcome documentation for data and AI experiments; leads AI pilot go/no-go and production-readiness decisions; and evaluates AI outputs for accuracy and reliability. It also supports adoption of Claude Enterprise and Microsoft Copilot through training, communications, and enablement, produces a monthly AI scorecard, co-leads AI Sandbox operations, and identifies opportunities to improve return on AI spend. The role manages relationships with data and AI tooling vendors and tracks spending against the approved plan. The position operates in a professional office environment and routinely uses standard office equipment. The employee is regularly required to talk or hear and frequently required to stand, walk, use hands to finger, handle or feel, and reach with hands and arms.

Requirements

At least 7 years of professional experience in data analytics, business intelligence, data governance, or a related field.
Working personal fluency with Claude is mandatory, along with other enterprise AI tooling such as Microsoft Copilot or equivalent.
Demonstrated ability to design and document hypothesis-driven experiments.
Experience defining data standards, metrics, or governance practices in a cross-functional environment.
Strong SQL skills and experience with BI and visualization tools.
Strong written and verbal communication skills, including the ability to produce executive- and board-quality materials.
Comfort operating in ambiguity within a small, fast-moving team.
Bachelor’s degree required.

Nice To Haves

Technical background in computer science, engineering, or 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 another high-growth, lean environment.
Experience in travel, transportation, or logistics.
Bachelor’s degree in a technical or quantitative field such as computer science, engineering, economics, mathematics, or data science.
Advanced degree.

Responsibilities

Lead, coach, and develop a team of data analysts, including hiring, goal setting, performance management, and career growth.
Set team priorities and manage 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 the organization’s key operational and commercial metrics.
Run intake, hypothesis design, metric definition, and outcome documentation for data and AI experiments.
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.
Drive training, communications, and enablement for Claude Enterprise and Microsoft Copilot.
Produce the monthly AI scorecard covering 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 spending against the approved plan, flagging variances.
Perform additional responsibilities if designated as a Data Protection Champion, Senior Information Risk Owner, or Information Assurance Accounting Officer.