Data Visualization Analyst

OpenAI•San Francisco, CA

About The Position

We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. In this role, you build the dashboards, maps, and visual frameworks that leadership and partners rely on to understand where risks are emerging, how they evolve over time, and which mitigations matter most. You will combine data visualization, forecasting literacy, and strong visual design skills to create “front doors” into our risk landscape: interactive views of safety and abuse patterns, geopolitical developments, and market shifts across regions and supply chains. You will work closely with analysts, forecasters, investigators, data scientists, and policy partners to turn noisy, multi-source inputs into visual products that directly influence priorities and resourcing.

Requirements

Significant experience (typically 4+ years) in data visualization, business intelligence, or analytics, ideally in security, trust and safety, intelligence, risk, or policy environments.
Demonstrated expertise with at least one major data visualization / BI stack (e.g., Tableau, Looker, Power BI, Mode, Superset, or equivalent), including building interactive dashboards for non-technical stakeholders.
Strong baseline analytics skills, including experience taking data from APIs, building ETL pipelines, and wrangling structured and unstructured data into real-time or near-real-time dashboards; familiarity with real-time or streaming data frameworks is a plus.
Experience visualizing time-series, event-based, and scenario/forecast data, including: Trendlines, trajectories, and leading indicators.
Clear communication of uncertainty and confidence levels.
Strong skills in structuring and visualizing complex problem spaces, such as: Multi-dimensional risk taxonomies and prioritization frameworks (likelihood, impact, exposure).
Geospatial and network views of entities, campaigns, or supply chains.
Solid visual and graphic design capabilities, including: An eye for clear information design, layout, and visual hierarchy.
Ability to apply consistent visual standards across dashboards and static materials.
Experience with design tools such as Figma, Adobe Illustrator, or similar, or a portfolio demonstrating equivalent skills.
Ability to work with data from diverse sources and levels of maturity (structured metrics, case notes, OSINT, qualitative assessments) and to design visuals that faithfully reflect both the data and its limits.
Proficiency in SQL and working knowledge of Python for querying large datasets, exploratory analysis, and building data pipelines that feed dashboards and reporting.
Proven experience collaborating with cross-functional partners (e.g., analysts, data scientists, policy teams, operations) to define requirements and iterate quickly on visual products.
Strong written and verbal communication skills, including the ability to walk stakeholders through visualizations, design choices, and forecast representations in a clear and concise way.

Nice To Haves

Familiarity with React or D3.js (or similar JavaScript-based visualization libraries), with the ability to build or customize visual components directly in code, is a strong plus for this role.

Responsibilities

Design and build dashboards and interactive visualizations that track: Emerging safety and abuse risks across products and geographies.
Geopolitical developments that affect OpenAI’s risk posture.
Key abuse cases and incident trends using both structured and unstructured data.
Develop interactive risk views such as: Prioritization heat maps for safety and abuse scenarios.
“Emerging risks” boards with drill-downs for deep dives.
Forecast views of risk trajectories, including scenario comparisons over time.
Partner with analysts and investigators to: Translate narrative intelligence, case studies, and OSINT into visual formats.
Standardize how we visualize incidents, metrics, campaigns, and risk clusters.
Iterate quickly on visual prototypes in response to ongoing investigations or emerging crises.
Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to: Ingest and align data from multiple internal systems and external sources.
Ensure visualizations are accurate, timely, and consistent with existing metrics and taxonomies.
Build views that are directly usable in leadership reviews, safety councils, and partner briefings.
Establish and maintain a visual “source of truth” for: Top strategic risk themes and their evolution over time.
Cross-geography views (e.g., markets, supply chains, infrastructure) for safety and geopolitical risk.
Key mitigations and owners linked to specific risk categories or regions.
Create templates, style guides, and reusable components so that the team can rapidly produce consistent, high-quality visual materials (dashboards, one-pagers, workshop materials, and exec reviews).