Technical Data & Talent Intelligence Lead, Talent Communities & Insights (TC&I) - Remote

Role overview Guide talent intelligence and insights work that helps recruiting and workforce leaders make informed decisions about where to hire, which skills are growing in demand, and how talent markets are changing. The role brings together external labor-market sources and internal HR data, then turns analysis into executive briefings, dashboards, and sourcing guidance. It works across recruiting, workforce planning, and analytics engineering, with a remote U.S. location listed for the position.

Responsibilities - Set data strategy, entity models, and normalization standards for external talent intelligence data; lead governance of taxonomies, skill frameworks, datasets, and competitor groupings. - Combine signals such as talent movement, hiring activity, skill clusters, pay trends, and attrition into clear narratives and recommendations for leaders. - Define reporting, dashboard, and AI assistant needs with Talent Acquisition, executive recruiting, and workforce planning partners. - Translate recruiting and business questions into technical requirements, collaborating with analytics engineering on useful metrics and data models. - Champion specialized labor-market and sourcing tools, support recruiter adoption and training, and identify gaps in data or product capabilities. - Produce market research deliverables, including competitor analyses, executive talent profiles, periodic landscape reviews, and recruiting intake materials.

Requirements - Bachelor’s degree in human resources, business analytics, market research, workforce planning, or a related field, or equivalent practical experience, plus at least seven years in intelligence, analytics, workforce strategy, or talent acquisition insights. - Strong analytics expertise, preferably in HR, talent, or people analytics. - Demonstrated ability to synthesize complex data from multiple external sources into executive-ready presentations, dashboards, and actionable recommendations. - Excellent consulting and communication skills, with experience aligning leaders and partners across functions without direct authority. - Ability to work with, query, and interpret multi-source datasets; familiarity with BI tools, advanced Excel or Airtable, or basic SQL is useful. Deep data engineering expertise is not required.

Nice to have - Experience creating intake briefing frameworks or talent intelligence playbooks for technical or executive recruiting. - Familiarity with skill ontologies, occupational frameworks such as O*NET or ESCO, or competitor technology data. - Experience with AI, agent-based systems, automated sourcing assistants, or tools such as Draup, LinkedIn Talent Insights, SeekOut, Phenom, or Workday.

Benefits and work setup - Remote U.S. role. Eligible employees may receive equity awards and annual bonuses, subject to applicable plans and policies. - Paid time away includes holidays, wellness and birthday time, vacation or flexible time off depending on employee classification, sick leave, and optional volunteer days. Additional benefits are available.