Назад
Company hidden
5 дней назад

Lead Analytics Engineer (AI)

120 000 - 165 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Lead Analytics Engineer (AI/Data): Advancing US data engineering practices, data products, analytics enablement, and innovation environments with an accent on data modeling, self-service analytics, governance, and knowledge development. Focus on designing data solutions, building training and cross-skilling programs, mentoring data specialists, and solving complex data quality, architecture, and performance challenges.

Location: Hybrid; requires working two days per week in an office in Atlanta, Boston, Chicago, Hartford, or Manhattan, United States.

Salary: $120,000–$165,000 per year, plus a performance-based bonus.

Company

hirify.global USA is a commercial insurance business serving small and middle-market clients through broker and direct distribution channels.

What you will do

  • Lead data and analytics technology across multiple cross-functional teams and guide access to business data.
  • Manage analytics use cases, data models, context layers, self-service capabilities, and AI-enabled data products.
  • Establish innovation labs and evaluate emerging data and analytics tools, methodologies, and trends.
  • Translate business requirements into technical requirements, solution designs, infrastructure plans, and project estimates.
  • Create training, learning, cross-skilling, and up-skilling programs while mentoring data specialists and engineering teams.
  • Drive data quality, governance, documentation, development standards, code reviews, performance improvements, and technical issue resolution.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 8+ years of progressive experience in data management, analytics, solution architecture, cloud platforms, data warehousing or lakehouse concepts, data modeling, and/or data engineering.
  • Strong SQL, data modeling and warehousing experience, with expertise in self-service analytics and visualization tools such as Power BI.
  • Advanced knowledge of DBT, SSIS, ETL, ELT, APIs, streaming, relational and non-relational data, JSON, XML, Python, R, PowerShell, and JavaScript.
  • Experience with data governance, quality, lineage, catalogs, visualization, storytelling, AI applications, Agile methodologies, and strategic cross-functional initiatives.
  • Strong insurance domain knowledge, communication, problem-solving, leadership, coaching, change management, and training skills.

Culture & Benefits

  • Values-led culture focused on courage, ownership, integrity, connection, and inclusion.
  • 401(k) with company matching and comprehensive medical, dental, vision, and FSA coverage.
  • 24 paid time-off days, additional company days, paid holidays, floating holiday, and optional PTO purchase.
  • Paid parental leave, a four-week paid sabbatical after five years, and disability and life insurance coverage.
  • Health and wellness benefits including fitness reimbursement, Headspace, financial adoption assistance, and medical travel reimbursement.
  • Modern offices, volunteer and community programs, and charitable donation matching.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →