Director, People Data Platforms & AI

Gartner•Irving, TX
•Hybrid

About The Position

The Director, People Data Platforms & AI defines and executes Human Resources strategy for workforce data, analytics, reporting, artificial intelligence, and data platforms. The role builds and operates scalable data products that support business intelligence, workforce planning, governance, advanced analytics, and AI-enabled employee experiences. As a strategic partner to HR, the Director aligns data and AI capabilities with enterprise priorities and workforce outcomes, transforming people data into actionable insights that improve decision-making, operational excellence, and measurable business value. The Director leads workforce analytics, reporting, AI enablement, and data platforms; owns the enterprise people data platform and ecosystem; and establishes architecture, integration strategies, platform standards, and governance. The role develops executive dashboards and decision-support tools, advances workforce planning and talent analytics, and promotes data literacy and adoption. It also leads responsible HR AI strategy and governance, partners with stakeholders to pilot and scale AI solutions, and supports product delivery through alignment of priorities, roadmaps, and outcome measures. The position is based near Gartner’s Irving, Texas Center of Excellence in a hybrid, flexible work environment. Gartner describes the role as an opportunity to work with HR leaders and technical teams to deliver capabilities that support workforce outcomes and employee experiences.

Requirements

  • 10+ years of experience in data, analytics, engineering, or technology leadership roles.
  • 5+ years leading managers and technical teams.
  • Experience building enterprise-scale data and analytics platforms.
  • Experience delivering workforce analytics, business intelligence, or HR technology solutions.
  • Strong knowledge of cloud data platforms, data architecture, and modern analytics ecosystems.
  • Demonstrated success leading organizational transformation and change initiatives.
  • Experience managing budgets, vendors, and strategic technology investments.
  • Excellent executive communication and stakeholder management skills.

Nice To Haves

  • Experience with Workday, HRIS, and Human Capital Management platforms.
  • Experience with Databricks, Azure Data Platform, Microsoft Fabric, Power BI, or similar technologies.
  • Experience implementing AI, machine learning, generative AI, or predictive analytics solutions.
  • Experience leading data governance programs.
  • Master's degree in Information Systems, Data Science, Computer Science, Business, or a related field.

Responsibilities

  • Define and execute the People Data & AI vision, roadmap, and multi-year strategy.
  • Serve as the HR Technology leader for workforce analytics, reporting, AI enablement, and data platforms.
  • Partner with HR executives to identify opportunities to improve business outcomes through data and AI.
  • Establish product and platform strategies supporting evolving HR capabilities and employee experiences.
  • Build and mentor a high-performing team of data engineers, analytics professionals, and AI specialists.
  • Own the enterprise people data platform and related ecosystem.
  • Establish scalable data architecture, integration strategies, and platform standards.
  • Modernize workforce data capabilities to support self-service insights and advanced analytics.
  • Ensure platform reliability, security, scalability, and performance.
  • Establish a workforce analytics strategy and lead development of executive dashboards, reporting solutions, and decision-support tools.
  • Create capabilities supporting workforce planning, talent analytics, diversity metrics, organizational health, and employee experience measurement.
  • Promote data literacy and adoption across HR and business stakeholders.
  • Develop and execute the HR AI strategy; identify and prioritize AI use cases that improve employee experience, productivity, and HR operational efficiency.
  • Lead responsible AI governance, controls, and adoption practices, and partner with business leaders to pilot and scale AI-enabled solutions.
  • Establish governance frameworks for workforce data quality, security, compliance, and stewardship.
  • Partner with Security, Privacy, Legal, and HR stakeholders to ensure regulatory compliance.
  • Define enterprise standards for metadata, reporting accuracy, and data management.
  • Support product delivery pods with analytics, reporting, data engineering, and AI capabilities.
  • Collaborate with Product Owners and Solution Architecture to align priorities and roadmaps.
  • Drive outcome-based delivery and continuous improvement practices.
  • Establish metrics to measure business value, adoption, performance, and operational effectiveness.
  • Manage budgets, vendors, and strategic technology investments.

Benefits

  • Competitive compensation and an annual bonus plan or role-based sales incentive plan, as applicable.
  • 20+ PTO days plus holidays and floating holidays in the first year; generous PTO is also noted.
  • Medical, dental, and vision insurance.
  • 401(k) with corporate match and immediate vesting; match up to $7,200 per year.
  • Health-and-wellness-related allowance programs.
  • Parental leave.
  • Tuition reimbursement.
  • Employee Stock Purchase Plan, including the opportunity to purchase company stock at a discount.
  • Employee Assistance Program.
  • Gartner Gives Charity Match.
  • Growth and learning opportunities, including mentorship, apprenticeship, leadership courses, development programs, technical courses, and certification opportunities.
  • Hybrid-work flexibility, including working virtually when productive and collaborating with colleagues in offices.
  • Collaborative and inclusive culture.
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