Business analytics consultant in data products

EPAM; United States; Hybrid; USD 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

GCP сертификаты

Azure сертификаты

AWS сертификаты

Stock Purchase Plan

Медицинское страхование

Образовательные курсы

Гибкий график

Zusammenfassung

EPAM ищет опытного руководителя по данным, способного вести дата‑продукты от идеи до внедрения, сотрудничая с клиентами над отраслевыми процессами и бизнес‑целями. Требуется сильная техническая база, коммуникационные навыки на уровне англоязычных стейкхолдеров и опыт перевода бизнес‑потребностей в конкретные требования к продукту.

Кандидат будет работать над архитектурой, выбором инструментов и мониторов, гарантируя качество данных, безопасность и надёжность, а также вести обсуждения с бизнес‑и

Qualifikationen

• 7–10+ лет опыта разработки и поставки дата‑продуктов или решений с данными
• Опыт перевода идей в архитектуру и дизайн продукта; способность работать с техническими командами
• Есть опыт вывода продуктов из прототипов в продакшн; мониторинг и улучшение после запуска
• Понимание архитектурных решений, масштабируемости, безопасности, надежности и стоимости
• Знание бизнес‑процессов и метрик в хотя бы одной индустрии и применение их к решениям
• Умение объяснять trade‑offs и направлять команды к поставке
• Гибкость в работе с англоязычными стейкхолдерами
• Плюс — опыт внедрения ИИ‑решений в повседневные процессы
• Опыт работы с регуляторными требованиями, приватностью и управлением данными

Aufgaben

• Ведет работы над дата‑продуктами от идеи до внедрения и адаптации
• Работает с клиентами над пониманием отраслевых процессов и бизнес‑целей
• Переводит бизнес‑потребности в требования к продукту и технический дизайн
• Участвует в разработке дата‑продуктов совместно с экспертами по данным
• Оценивает архитектуры и инструменты, принимает обоснованные решения по выбору технологий
• Руководит рабочими встречами с бизнес и техн stakeholders, объясняет выборы решений
• Измеряет эффект продукта и собирает фидбек для улучшения после запуска

Kenntnisse

Разработка дата‑продуктов

Облачные платформы

Искусственный интеллект

Кросс‑функциональная работа

Коммуникация

Jobbeschreibung

Описание

Описания нет

Задачи

• Lead data product workstreams from discovery and solution design through development, deployment and adoption
• Work with clients to understand industry-specific processes, challenges and opportunities, and define the business outcomes a data product should achieve
• Translate business needs into product requirements, technical designs and delivery plans that teams can put into practice
• Contribute hands-on to the development of data products, applying your technical expertise while working with specialists from other disciplines
• Evaluate architectures, tools and technologies—including AI, cloud platforms and large-scale data processing where appropriate—and make informed trade-offs based on value, feasibility, performance and cost
• Guide products from prototype to production, addressing considerations such as data quality, security, reliability, monitoring and maintainability
• Lead workshops and technical discussions with business and technology stakeholders, explaining solution choices and aligning teams around delivery priorities
• Measure product performance, adoption and business impact, and use what you learn to improve the solution after launch

Требования

• 7-10+ years of hands-on experience developing and delivering data products or data-intensive software solutions
• A track record of taking products beyond prototypes into production, including deployment, monitoring and improvement after launch
• Strong technical expertise in at least one relevant discipline, with the ability to contribute directly to solution design and development
• Experience designing architectures and making practical trade-offs around scalability, reliability, security, performance and cost
• Experience working with data across the product lifecycle, from acquisition and processing to making it useful in an application, service or decision-making process
• Understanding of how technologies such as AI, cloud platforms and large-scale data processing can support data products, and the judgment to choose a approach suited to the problem
• Experience translating business needs into product requirements and working with others to deliver against them
• Knowledge of the business processes and metrics in at least one industry, and the ability to apply that knowledge to product decisions
• Ability to lead discussions with business and technical stakeholders, explain technical trade-offs clearly and guide a workstream through delivery
• Strong communication skills in English
• Будет плюсом: Deep experience in a business industry—such as financial services, retail, life sciences, energy or another sector—and a record of delivering data products that address its specific processes and challenges
• Experience delivering data products across multiple industries and adapting solutions to different business contexts
• Depth in more than one technical discipline, such as software engineering, analytics, data engineering, machine learning or product architecture
• Experience modernizing existing data platforms or bringing experimental solutions into production
• Experience delivering products in regulated environments, where data privacy, security and governance shape technical decisions
• Experience using product feedback and usage data to improve a solution after launch
• Experience mentoring engineers or other technical specialists and helping teams adopt effective delivery practices
• Experience bringing AI-enabled products into everyday use, including integration with existing workflows, user adoption and measuring their impact after launch

Условия

• Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Coverage of psychology sessions of your choice
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership