Jobs / United States / Riot Games INC
Director, Data Engineering – Player Lifecycle & Personalization
Riot Games INC · 🇺🇸 Los Angeles, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 33 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Riot Games INC paid sponsored hires in similar roles4 certified filings for “Insights Analyst” (Data Scientists) in CA: $124k–$159k, median $134k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Riot Games INC
The US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 33 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Riot Games INC →
About the role
Riot's Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide. As a Director of Data Engineering within the PubSports organization, you will define and lead the data strategy supporting Player Lifecycle & Personalization across Riot. This role is responsible for building the data products, data foundations, and organizational capabilities that enable player understanding, segmentation, personalization, experimentation, analytics, and AI-driven experiences. You will partner closely with Product, Insights, Data Science, AI, and Engineering leaders to ensure Riot has trusted, scalable, and reusable data assets that support player engagement and long-term growth. In addition to owning Player Lifecycle & Personalization, you will lead the modernization and evolution of PubSports' data ecosystem, driving adoption of Riot's data platform standards while establishing a long-term strategy for player intelligence and engagement data. Responsibilities: • Define and execute the data strategy for Player Lifecycle & Personalization across Riot. • Establish trusted player data products, data models, and intelligence capabilities that support engagement, retention, personalization, experimentation, and AI-driven experiences. • Partner with Product, Insights, Data Science, and AI leaders to translate business needs into scalable data capabilities and platforms. • Lead modernization of PubSports' data ecosystem and improve data quality, governance, observability, and operational accountability. • Drive standardization of player data, business metrics, and semantic definitions across teams. • Build and grow a high-performing organization of managers, senior engineers, and technical leaders. • Define long-term investment priorities and roadmap for Player Lifecycle & Personalization data capabilities. • Communicate strategy, priorities, risks, and outcomes to senior leadership and stakeholders. Required Qualifications: • Bachelor’s degree in Computer Science or a related field, or equivalent experience. • 12+ years of experience in data engineering, data platforms, analytics engineering, or related disciplines. • 5+ years of people leadership experience, including experience leading managers and senior technical leaders. • Experience leading data engineering, machine learning engineering, data platform, analytics engineering, or customer intelligence organizations. • Experience building data products and data capabilities that support lifecycle management, personalization, customer intelligence, loyalty, CRM, or similar domains. • Strong leadership experience building teams, developing managers, and delivering through others. • Experience defining strategy and operating effectively in ambiguous environments. • Deep understanding of modern data platforms, data products, governance, and data quality practices including Agentic DE AI platforms • Proven ability to partner across Product, Analytics, Data Science, Engineering, and executive leadership teams. Desired Qualifications: • Master’s degree in Computer Science or a related field, or equivalent experience. • Experience with large-scale data platforms in gaming or adjacent consumer products. • Familiarity with large-scale experimentation platforms and cross-surface measurement. • Experience with autonomous AI coding platforms, modern data platforms, including transformation frameworks and governance or metadata tooling (e.g., Devin, Databricks, Atlan). • Exp