1 день назад
Manager, Data Engineering (AI)
89 400 - 183 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Data Engineering (AI): Leading the design and delivery of scalable data pipelines, warehouse solutions, and governed data assets for Finance analytics and operational reporting with an accent on data architecture, governance, and stakeholder alignment. Focus on advancing AI and agentic development practices, coaching engineers, and building consistent delivery standards across a large portfolio of initiatives.
Location: Chattanooga, Tennessee, or Portland, Maine, USA
Base salary: $89,400–$183,500 per year
Company
is a Fortune 500 provider of employee benefits and service solutions, supporting more than 39 million people worldwide.
What you will do
- Lead the data engineering team’s strategy, engineering standards, tools, methodologies, and delivery practices.
- Plan, estimate, prioritize, and oversee the on-time delivery of data engineering initiatives.
- Guide the design and implementation of scalable data pipelines, analytical databases, governed data assets, and analytics workflows.
- Translate Finance and business requirements into technical plans aligned with corporate policies, controls, and compliance requirements.
- Advance the responsible use of AI and agentic development practices, including prompt engineering standards and team upskilling.
- Recruit, coach, mentor, develop, and retain staff while managing performance and strengthening technical capabilities.
Requirements
- At least 5 years of hands-on experience in data engineering, business intelligence, data science, or a closely related discipline.
- Experience delivering scalable data and analytics solutions across cloud-based and on-premises environments.
- Experience with dbt Core or Platform for transformation, modeling, testing, documentation, and governed pipeline development.
- Proficiency with SQL and Python for data extraction, transformation, analysis, automation, and pipeline development.
- Knowledge of data profiling, statistical analysis, data modeling, data architecture, data warehouses, transactional databases, object stores, and APIs.
- Strong communication, collaboration, problem-solving, project management, coaching, and mentoring skills.
Nice to have
- Bachelor’s degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field.
- Prior leadership, people management, or technical team leadership experience.
- Experience with Tableau, Alteryx, Power BI, or equivalent BI platforms.
Culture & Benefits
- Award-winning culture with inclusion and diversity as priorities.
- Health, vision, dental, short- and long-term disability, and mental health support.
- Generous paid time off, including paid volunteer time.
- Performance-based incentive plans and a 401(k) contribution of up to 9.5%.
- Tuition reimbursement, student loan repayment options, career advancement opportunities, and flexible work environments.
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