Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$98к-202к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.8к/мес ($3.4к - $4.8к)
58
Средняя вакансия
развернуть
Верхняя граница зарплаты близка к медиане рынка, но нижняя значительно ниже неё, а оценка зарплаты для вакансии заметно уступает ориентиру. Четыре дня в офисе также ограничивают гибкость.
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Ниже рынкаШирокая зона ответственностиЧетыре дня в офисеСовременный стекХорошие льготы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Data & AI Platforms (AI): Leading governance, adoption, optimization, and operational stewardship of enterprise data and AI platforms with an accent on platform standards, security, scalability, compliance, and business value. Focus on managing data and AI platform operations, building predictive models and data pipelines, optimizing platform investments, and translating complex analytical requirements into business solutions.
Location: Atlanta, Georgia, USA; campus-based hybrid role requiring 4 days per week onsite.
Base salary: $98,340.00–$201,900.00 annually.
Company
hirify.global is a Fortune 500 provider of employee benefits and service solutions, headquartered in Chattanooga, Tennessee, with international offices in Ireland, Poland, and the UK.
What you will do
Manage the day-to-day operation, governance, standards, policies, and procedures of enterprise Data & AI platforms.
Drive platform adoption, utilization, value realization, cost optimization, financial accountability, access management, governance, and compliance.
Lead the analytics strategy and guide the team on tools, methodologies, goals, deadlines, and consistent platform usage.
Oversee predictive models, data pipelines, analytical databases, and analytics workflows, contributing to development when needed.
Translate business needs into technical plans, identify data sources, communicate findings, and develop implementation tactics with technical and non-technical stakeholders.
Recruit, train, coach, manage performance, develop, and retain team members while supporting continuous improvement.
Requirements
Bachelor’s degree in information technology, mathematics, or statistics preferred.
5+ years of hands-on experience as a Data Engineer, BI Analyst, or Data Scientist; one discipline may carry more weight depending on team composition and goals.
Experience with analytics programming languages including SQL, R, or Python.
Experience with modern BI toolsets such as Snowflake, Databricks, Tableau, Alteryx, Power BI, or equivalent.
In-depth understanding of data profiling, statistical analysis, data modeling, data architecture principles, and infrastructure requirements across on-premises and cloud platforms.
Experience extracting, loading, and leveraging data from data warehouses, transactional databases, object stores, and API-based environments.
Strong problem-solving, programming, and project management skills, including the ability to decompose complex analytical and technical problems into business solutions.
Excellent communication skills and ability to work with all corporate levels and external contacts.
Ability to think conceptually, handle ambiguity, solve complex problems, and make thoughtful recommendations.
Demonstrated mentoring and coaching skills for developing technical implementation employees.
Nice to have
Prior leadership and/or management experience.
Culture & Benefits
Award-winning culture with inclusion and diversity as priorities.
Health, vision, dental, short- and long-term disability, mental health support, and generous paid time off including volunteer time.
Performance-based incentive plans and a 401(k) contribution of up to 9.5%.
Flexible work environments, career advancement opportunities, student loan repayment options, and tuition reimbursement.
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