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AI Data Specialist
NICE — признанный мировой лидер в области CX и AI, что гарантирует работу с передовыми технологиями. Позиция предлагает отличные возможности для карьерного роста и влияние на глобальные продукты компании.
Сложность вакансии
Роль требует уникального сочетания навыков: глубокой экспертизы в аналитике данных CX и сильных консультационных способностей. Высокая планка ответственности за точность моделей и необходимость взаимодействия с топ-менеджментом повышают сложность позиции.
Анализ зарплаты
Предлагаемая роль в Атланте соответствует уровню Senior/Lead в области аналитики данных. Рыночные оценки для специалистов такого профиля в США в сфере Enterprise Software обычно начинаются от 110-120 тысяч долларов в год.
Сопроводительное письмо
I am writing to express my strong interest in the AI Data Specialist position at NICE. With over five years of experience in business intelligence and data analytics, I have developed a deep understanding of how to transform unstructured customer interaction data into actionable business insights. My background in consultative program management aligns perfectly with your need for a specialist who can bridge the gap between complex data structures and operational outcomes.
In my previous roles, I have excelled at partnering with cross-functional teams to validate data models and ensure high standards of precision and recall. I am particularly drawn to the Enlighten AI team's focus on innovation and the opportunity to serve as a subject matter expert for both internal teams and global clients. I am confident that my technical fluency and ability to communicate complex data concepts to diverse audiences will make me a valuable asset to NICE.
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Описание вакансии
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
As a NiCE AI Data Specialist you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions. In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions. You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives.
AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions. It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes. The range of responsibility include the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise.
The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities. As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions. As they gain and maintain system and data expertise, the roll will continue to open up for direct client interactions, feedback capture and build plans.
How will you make an impact?
- Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.)
- Support validations of completed and evolving data structures to ensure high standards for precision and recall are met
- Test evolving tools from Research that support the development of the data structures
- Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products
- Work with client requirements to understand new requests and how we can or cannot meet them
- Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices
- Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc.
- Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets
- As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions
- The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that mater within CX interactions
- AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs
- AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists)
Have you got what it takes?
- 5+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider
- Experience with use of technology to build and analyze datasets for operational outcomes
- Experience with the development, positioning and quantification of operational recommendations
- Excellent oral and written communication skills in English
- Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience
- Ability to multi-task and meet deadlines when supporting requests that create competing priorities
- Ability to develop and maintain good working relationships with cross-functional teams
- Ability to communicate comfortably across all levels of corporate structure
- Ability to work with sales executives and assist with opportunities as subject matter expert
- Demonstrated ability to take the initiative and work in a self-directed manner
- Ability to thrive in a changing environment
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Requisition ID:10298 Reporting into: Vice President of Solution Sales
Role Type:Individual Contributor
*About NiCE*
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Навыки
- Business Intelligence
- Data Visualization
- Analytics
- Microsoft PowerPoint
- Customer Experience
- Data Analysis
- Interaction Analytics
- Semantic Modeling
Возможные вопросы на собеседовании
Проверка понимания специфики работы с неструктурированными данными (аудио, чаты), что является ядром роли.
Расскажите о вашем опыте работы с неструктурированными данными взаимодействий с клиентами. Какие основные сложности вы встречали при их категоризации?
Вакансия требует обеспечения высоких стандартов точности и полноты данных.
Как вы подходите к валидации данных и обеспечению метрик precision и recall в моделях анализа речи или текста?
Роль подразумевает тесное сотрудничество с отделами разработки и продаж.
Опишите случай, когда вам нужно было объяснить сложные технические выводы по данным нетехнической аудитории или клиенту. Каков был результат?
Позиция требует проактивности и умения работать самостоятельно.
Как вы приоритизируете задачи, когда сталкиваетесь с конкурирующими запросами от продуктовых команд и отделов по работе с клиентами?
Важно понимать разницу между этой ролью и Data Scientist, как указано в описании.
Как вы видите свою роль в цепочке создания ценности между командой Research (Data Scientists) и конечным бизнес-пользователем?
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