{"id":2090104,"url":"https://alion.io/job/american-express-director-data-science","title":"Director-Data Science","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":38,"ghost_share":0,"stale_share":0.079,"repost_share":0.105,"time_to_fill_p50_days":7,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":190000,"max_usd":356000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2192},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Agentic Workflows","optional":true}],"status":"live","first_seen_at":"2026-10-08T13:55:08Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T20:05:18Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Director - Data Science, Global Servicing Decision Science\nAbout the Team\nThe Global Servicing Decision Science (GSDS) team is the Decision Science engine for Global Servicing, bringing together advanced analytics, data science, AI/GenAI, and decisioning to transform servicing experiences, empower colleagues, and enable intelligent operations. GSDS serves as a centralized Decision Science Center of Excellence, partnering across Product/Capabilities, Control Management, Strategy, Operations, Technology, and enterprise analytics and data science teams.\nGSDS builds and scales servicing intelligence across Global Servicing-from predictive and proactive servicing, personalization, next-best-action and journey orchestration to conversational AI, agent assist, AI-powered coaching, conduct and quality monitoring, and complaint and dispute intelligence. Our mandate is to build durable, production-ready capabilities that continuously improve decisions through prediction, recommendation, optimization, experimentation, and learning.\nHow will you make an impact in this role?\nAs Director, you will define and lead the vision, strategy, and execution of Decision Science across Global Servicing, translating complex customer and business challenges into scalable intelligence capabilities that improve customer experience, colleague effectiveness, operational efficiency, membership value, and controls.\nThis is a highly visible leadership role requiring deep analytical rigor, strong technical and AI expertise, strategic problem-solving, commercial acumen, and enterprise leadership. You will lead a high-performing team of data science professionals and partner across Global Servicing and the enterprise to embed intelligent decisioning into servicing experiences and processes.\nYou will also help shape the next generation of servicing Decision Science-advancing capabilities such as Agentic AI, transformer-based recommendation systems, and Conversational AI while ensuring solutions are production-ready, measurable, governed, and continuously improving.\n Key Responsibilities\nGSDS Strategy & Business Impact\nDefine and lead the Decision Science roadmap across Global Servicing, identifying and prioritizing high-impact opportunities across servicing experiences, membership value and engagement, colleague efficiency, and operational excellence.\nTranslate business strategy into clear Decision Science priorities, success measures, and investment choices, connecting technical opportunities to measurable customer and business outcomes.\nAI / GenAI & Decision Science Leadership\nProvide technical leadership across AI/ML, GenAI, prediction, recommendation, optimization, experimentation, and learning, setting a high bar for solution design, evaluation, and analytical rigor.\nDrive the evolution of GSDS toward emerging AI paradigms, including Agentic AI and multi-agent workflows, transformer-based recommenders and representation learning, and Conversational AI/LLM-based systems that can reason over context and support increasingly intelligent servicing decisions.\nMaintain sufficient technical depth to challenge architectures, modeling choices, evaluation frameworks, and trade-offs, and to guide teams from experimentation through scalable production deployment.\nScalable Decisioning Products & Production AI\nOversee development of reusable, production-ready data science products and decisioning systems that leverage customer, behavioral, contextual, and operational data to enable timely and personalized decisions.\nPartner with Technology, platform, and governance teams to deploy and evolve AI solutions with appropriate architecture, observability, controls, model/AI quality, and lifecycle discipline.\nLeadership, Talent & Enterprise Influence\nLead, mentor, and grow a high-performing team of data science professionals, fostering technical excellence, first-principles problem solving, innovation, ownership, and strong commercial judgment.\nBuild organizational capability across Applied GenAI, AI engineering and architecture, advanced recommendation and decisioning methods, strategic problem solving, and commercial storytelling.\nInfluence senior stakeholders and build strong cross-functional accountability, using clear and compelling narratives to drive prioritization, investment decisions, adoption, and execution of major Decision Science initiatives.\nInnovation & Future-Focused Capability Building\nContinuously evaluate advances in AI and Decision Science and translate the most relevant methods into practical, scalable capabilities and reusable best practices for Global Servicing.\nShape a forward-looking technical roadmap that strengthens GSDS capabilities in Agentic AI, Conversational AI, modern recommendation systems, experimentation, AI engineering, architecture, governance, and continuous optimization.\nMinimum Qualifications\nBachelors degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics).\nExceptional analytical and conceptual problem-solving ability, with experience structuring and solving complex, ambiguous business challenges using first-principles thinking.\nProven leadership experience managing and developing high-performing analytics or data science teams in a complex, cross-functional environment.\nStrong technical foundation in modern data science and AI, with the ability to guide solution design, challenge technical approaches, and connect analytical choices to business outcomes.\nStrong ability to influence senior stakeholders through clear, structured, and compelling communication and executive storytelling.\nExperience driving large-scale analytics, Decision Science, or AI initiatives from concept through production, adoption, and ongoing optimization.\nStrong commercial acumen and storytelling, with the ability to connect technical strategy, architecture and investment choices to measurable business value.\nPreferred Qualifications\nMaster’s degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics).\nTechnical exposure to or experience driving modern AI capabilities such as Agentic AI/agentic workflows, transformer architectures and transformer-based recommendation systems, Conversational AI, LLMs, and advanced personalization or next-best-action systems.\nStrong understanding of the end-to-end Decision Science and AI lifecycle, including experimentation, model/AI evaluation, decision logic and orchestration, productionization, monitoring, governance, and continuous optimization.\nTrack record of building scalable data products, recommendation/decisioning systems, or AI-driven capabilities with measurable customer, revenue, productivity, cost, or control outcomes.\nExperience driving transformation from traditional analytics toward AI-powered, productized Decision Science capabilities and reusable enterprise solutions.\nDepending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.","description_format":"text","description_chars":7082,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card 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