5 дней назад
Lead Analytics Engineer (AI)
120 000 - 165 000$
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
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.
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