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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$219к-351к/год
$190к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
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Крутая вакансия
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В Company hidden четко очерчена senior-роль с влиянием на решения руководства, практической аналитической работой, наставничеством и масштабом глобального платежного бизнеса; сочетание стратегии и технической ответственности предполагает высокую нагрузку.
Широкая зона ответственности
Современный стек ИИ
Перспективная сфера
Влияние на стратегию
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, Consumer Payments Strategic Analytics (AI): Owns the strategic analytics roadmap for Visa’s Global Consumer Payments business, developing predictive, descriptive, diagnostic, and prescriptive solutions with an accent on AI, machine learning, experimentation, portfolio analysis, and scalable data products. Focus on shaping analytics strategy, building models and decision tools, mentoring analytics professionals, and translating complex insights into executive decisions.
Location: US - Foster City, CA; hybrid schedule with at least 3 days in the office. Travel required 5–10% of the time.
Salary: $219,100–$350,800 USD per year; the position may also include bonus and equity.
Company
hirify.global is a global payments technology company connecting consumers, merchants, financial institutions, and governments across more than 200 countries and territories.
What you will do
Own the multi-year strategic analytics agenda for Global Consumer Payments and translate executive business questions into prioritized analytical portfolios.
Identify market, product, customer, issuer, merchant, and portfolio opportunities through analysis of hirify.global data and the broader payments ecosystem.
Lead cross-functional analytics initiatives from problem definition through implementation, coordinating contributors, milestones, resources, and technical decisions.
Personally design and deliver predictive, descriptive, diagnostic, and prescriptive solutions, including segmentation, propensity modeling, forecasting, experimentation, and portfolio analysis.
Shape the use of machine learning, generative AI, LLMs, and agentic AI; build scalable dashboards, decision tools, self-service analytics, and data products with technology partners.
Advise senior Product, Marketing, Finance, and Technology leaders, communicate executive-ready recommendations, and coach junior and early-career analytics and data science colleagues.
Requirements
At least 10 years of relevant experience with a Bachelor’s Degree, 8 years with an Advanced Degree, or 6 years with a PhD.
Strong experience shaping analytics agendas, leading high-impact portfolios and cross-functional initiatives, and owning delivery quality and measurable business outcomes in a matrixed environment.
Excellent hands-on programming and analytical skills in Python and SQL, with large-scale experience using Spark, Hive, Hadoop, or comparable platforms.
Practical experience with AI and machine learning, including generative AI, LLMs, and AI-assisted development tools such as Claude Code, GitHub Copilot, OpenAI Codex, or similar platforms.
Experience with agentic AI concepts and orchestration frameworks such as LangGraph, LangChain, or comparable tools, including judgment about their business value.
Ability to develop and validate predictive and descriptive models, conduct statistical analysis, data mining, experimentation, and decision science.
Experience building visual insights, dashboards, and reporting solutions with Tableau, Power BI, or similar BI tools.
Exceptional executive communication, storytelling, influence, recommendation defense, and decision-driving skills.
Nice to have
12 or more years of relevant experience with a Bachelor’s Degree, 10 years with an Advanced Degree, or 8 years with a PhD.
8+ years in analytics, data science, strategic insights, or related work with a Bachelor’s degree; 6+ years with a Master’s/MBA; or 5+ years with a PhD.
Demonstrated success coaching and mentoring junior and early-career analytics or data science colleagues.
Culture & Benefits
Senior individual contributor role with no formal direct reports, combining strategic influence with hands-on execution.
Regular coaching and mentoring opportunities focused on technical judgment, independence, and successful execution.
Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
Work hours vary according to department needs; the role is performed in an office setting.
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