Sr. Director, AI, Data Science & Engineering

The Opportunity We are seeking a Senior Director of AI, Data Science & Engineering to lead the technical organization responsible for building the next generation of AI-powered fraud, abuse, Trust & Safety, and consumer protection capabilities. This leader will oversee AI Engineering, Data Science and Machine Learning, and Data Engineering, with responsibility for taking complex trust and risk problems from concept through production. This is an AI-first leadership role requiring deep AI/ML expertise, strong engineering judgment, and the ability to build and scale multidisciplinary technical teams. This is not a traditional analytics or data science leadership role. We are looking for a technical leader who can connect AI, machine learning, data, and engineering into scalable systems and lead the organization responsible for building them. The Senior Director will define the technical strategy for applying AI across Consumer Trust, with a focus on agentic systems, machine learning, graph intelligence, anomaly detection, behavioral modeling, automation, and real-time risk decisioning. The role will also partner closely with Platform Risk and engineering teams responsible for capabilities such as browser and device fingerprinting, identity graph, bot detection, telemetry, risk signals, and shared decisioning infrastructure. A key responsibility will be connecting these capabilities with AI, ML, and data to create integrated end-to-end protection systems. What you will do Lead AI Engineering, Data Science/Machine Learning, and Data Engineering across Consumer Trust. Define and execute the AI and ML technical strategy for fraud, abuse, Trust & Safety, and consumer protection. Own end-to-end development of AI and ML capabilities from experimentation and modeling through engineering, deployment, monitoring, and production operation. Drive development of agentic AI, graph intelligence, anomaly detection, behavioral models, and real-time decisioning capabilities. Build the data, feature, evaluation, and ML infrastructure required to operate AI systems at scale. Partner with Platform Risk and engineering teams on identity graph, browser and device fingerprinting, bot detection, telemetry, and shared risk platforms. Bring together platform signals, identity intelligence, AI, ML, and data into cohesive detection and decisioning systems. Establish strong engineering standards for AI systems, including evaluation, reliability, observability, scalability, and responsible AI. Recruit, develop, and lead strong AI, ML, data science, data engineering, and technical leadership talent. Translate technical investments into measurable improvements in fraud prevention, consumer protection, operational efficiency, and business outcomes. What you will bring Significant experience building and deploying AI and machine learning systems in production at scale. Strong technical background in modern AI/ML, including generative AI, large language models, agentic systems, model evaluation, and traditional machine learning. Demonstrated experience leading multidisciplinary organizations across AI/ML, data science, and data engineering. Strong production engineering and systems architecture experience, with the ability to take AI capabilities from prototype through production. Experience with large-scale data platforms, telemetry, real-time systems, feature pipelines, and ML infrastructure. Strong understanding of distributed systems and the engineering requirements associated with high-volume, low-latency decisioning. Ability to engage deeply with principal engineers, AI/ML engineers, data scientists, data engineers, and architects on technical strategy and design. Strong executive communication skills and the ability to influence across engineering, product, operations, policy, and senior leadership. Experience in one or more areas such as fraud prevention, cybersecurity, identity, platform abuse, Trust & Safety, payments risk, bot detection, or other adversarial environments. Experience with identity resolution, identity graphs, graph ML, browser or device intelligence, behavioral signals, reputation systems, or real-time risk platforms is strongly preferred. Experience deploying generative AI or agentic systems into high-impact production environments is also highly desirable. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com . AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience . Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $211,600 - $436,975 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $281,100 - $436,975
 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws