Senior Manager / Senior Software Engineer – Distribution Analytics, Data Products & AI
Контакты
131 700 - 181 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
pythonsqlsnowflakedata engineeringetlawsragdata modelingtableaugenerative ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$132к-181к/год
$140к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.6к)
67
Хорошая вакансия
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Вакансия дает заметную ответственность за данные и ИИ и предлагает современный стек, но зарплата ниже рыночной медианы, а обязательные четыре дня в офисе ограничивают гибкость.
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Ниже рынкаМало удалёнкиСовременный стекШирокая зона ответственностиФинансовые технологии
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Manager / Senior Software Engineer – Distribution Analytics, Data Products & AI (Data Engineering/Generative AI): Building business-critical data products, analytics solutions, dashboards, and AI-powered applications for asset management distribution with an accent on scalable data pipelines, business intelligence, and enterprise data integration. Focus on designing RAG solutions, developing reusable APIs and frameworks, and ensuring data quality, governance, and consistent business metrics.
Location: Boston, Massachusetts, United States; in-office collaboration at least four days per week with flexibility to work from home one day per week.
Base salary: $131,700–$181,000 per year, plus potential variable compensation.
Company
hirify.global is a diversified financial services company providing financial planning, asset management, insurance, and advisory services to individual, small business, and institutional clients.
What you will do
Design, develop, and deliver data products, analytics solutions, dashboards, and AI-powered applications for Asset Management Distribution.
Partner with Distribution, Sales, Marketing, National Accounts, Client Service, and Technology stakeholders to define requirements and prioritize data-driven opportunities.
Build scalable data pipelines, semantic models, analytical data assets, reusable services, APIs, and frameworks.
Lead business intelligence and executive reporting capabilities covering sales performance, client engagement, marketing effectiveness, AUM growth, and business outcomes.
Design and implement Generative AI and Retrieval-Augmented Generation solutions using enterprise data.
Provide technical leadership, architecture guidance, mentorship, and support for data quality, governance, metadata, and business metric consistency.
Requirements
Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent relevant experience.
7–10+ years of experience in data engineering, analytics engineering, business intelligence, or related disciplines, plus 3–5+ years of project management experience.
Advanced expertise in Python, SQL, data modeling, ETL/ELT, and cloud data warehouses such as Snowflake or Amazon Redshift.
Experience with Tableau, Power BI, or similar business intelligence platforms.
Hands-on experience building AI-enabled applications and RAG solutions with technologies such as Anthropic Claude, OpenAI, Amazon Bedrock, Azure OpenAI, Strands, or AgentCore.
Must have valid United States work authorization and must not now or in the future require visa sponsorship.
Nice to have
Experience in asset management, wealth management, investment management, or financial services.
Knowledge of asset management distribution, sales, marketing, client, account, investment, and performance data.
Experience with Salesforce CRM, Snowflake Cortex, conversational analytics, AI copilots, agentic AI, MLOps, or responsible AI frameworks.
AWS Data Engineering, Analytics, AI/ML, or Solution Architect certification.
Culture & Benefits
Client-centric, relationship-based environment focused on face-to-face collaboration and in-person idea sharing.
Hybrid flexibility with one work-from-home day per week under the standard arrangement.
Vacation time, sick time, 401(k), and health, dental, and life insurance benefits.
Potential bonus, commissions, and/or long-term incentives depending on the role.
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