Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Нижеразвернуть
$109к-182к/год
$150к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.5к/мес ($3.6к - $6.1к)
70
Хорошая вакансия
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Чётко описанная роль в области data-продуктов в крупной финансовой компании предлагает хорошие льготы, но зарплата ниже рыночной медианы, а широкий диапазон не даёт понять, на какую сумму можно рассчитывать.
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Актуальные задачи
Понятные обязанности
Крупная компания
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AVP, Data Product Owner (Data Products/Fintech): Defining strategy, roadmaps, and consumption capabilities for enterprise data products used across applications, analytics platforms, advisor experiences, operations, partners, and reporting with an accent on data access, adoption, reliability, and reuse. Focus on analyzing distributed data environments, assessing schema and integration impacts, prioritizing backlogs, and aligning engineering, architecture, governance, and business stakeholders.
Location: Fort Mill/Charlotte, United States
Salary: $109,283.00–$182,104.00 per year
Company
hirify.global is a U.S. wealth management firm providing advisor affiliation models, investment solutions, fintech tools, and practice management services to financial advisors and institutions.
What you will do
Define product vision, strategy, multi-quarter roadmaps, priorities, KPIs, and OKRs for consumption-facing enterprise data capabilities.
Translate business outcomes and downstream consumer needs into product initiatives, use cases, user stories, acceptance criteria, release objectives, and consumption requirements.
Define and support data access through APIs, feeds, reporting platforms, extracts, and shared services while promoting discoverable, trusted, standardized, and reusable data products.
Prioritize and manage backlogs, balancing strategic initiatives, consumer demand, operational needs, and delivery capacity.
Analyze usage patterns, source-to-target relationships, lineage, dependencies, and impacts; assess schema changes, integrations, migrations, and upstream modifications using SQL and analytical techniques.
Partner with engineering, architecture, governance, domain, QA, and stakeholder teams through Agile ceremonies, managing risks, dependencies, tradeoffs, roadmap updates, and product communications.
Requirements
5+ years of experience in Product Management, Product Ownership, Data Product Ownership, Product Analytics, Data Analysis, or platform-oriented product roles.
Strong hands-on experience with SQL, data analysis, source-to-target analysis, or analytical problem-solving across distributed data environments.
Experience with data platforms, data distribution capabilities, APIs, feeds, integration layers, reporting platforms, or shared enterprise data services.
Experience working in Agile/Scrum environments with cross-functional product, engineering, QA, architecture, and stakeholder teams.
Nice to have
Ability to translate complex data ecosystems and consumer needs into clear product requirements.
Understanding of data quality, data lineage, metadata, semantic consistency, data contracts, data governance, and downstream impact analysis.
Strong communication skills for influencing stakeholders and explaining technical concepts in business-friendly language.
Experience using AI-enabled capabilities to improve data analysis, requirements development, or product discovery.
Experience creating product narratives, roadmap readouts, value statements, adoption metrics, and executive-level decision-support materials.
Culture & Benefits
Collaborative environment focused on integrity, partnership, innovation, and meaningful business outcomes.
401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
Employment is full time.
Hiring process
Log in or create an account to apply; principals only.
LPL communicates with applicants only from an @lplfinancial.com email address and does not conduct interviews online or in chatroom forums.
Interviews will not involve requests for payment or bank or credit card information.
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