9 дней назад
Data Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Manager (AI): Leading the lifecycle of data products for e-commerce tracking, from ideation and development through deployment and optimization, with an accent on data analysis, visualization, governance, and stakeholder alignment. Focus on translating behavior metrics into business insights, prioritizing data initiatives, leading cross-functional teams, and incorporating AI into team workflows.
Location: Remote from Colombia
Company
CI&T delivers AI deployment, data and technology transformation, application modernization, Martech, and business strategy solutions for large enterprises.
What you will do
- Lead the full lifecycle of data products, from ideation and development to deployment and optimization.
- Provide data analysis and visualization to support business and digital product growth.
- Lead cross-functional teams of data scientists, engineers, and analytics specialists while mentoring and developing data talent.
- Define priorities and roadmaps by balancing stakeholder needs and communicating the value of data initiatives.
- Analyze data structures, relationships, patterns, trends, and product performance using metrics and KPIs.
- Support data governance, data architecture, infrastructure, and the incorporation of AI into team workflows.
Requirements
- Remote work from Colombia.
- English at C1 level or above.
- Experience working with international clients.
- Experience with Azure, AWS, or GCP and with Databricks or Snowflake.
- Strong strategic thinking, product mindset, and value-based prioritization skills.
- Proven team leadership experience with a hands-on approach.
Nice to have
- Experience in data platforms, data visualization, or advanced analytics.
- Experience with on-premises and data cloud migrations.
- Experience with project management tools.
- Experience with AI/ML.
- Spanish reading, writing, and speaking skills.
Culture & Benefits
- Remote home-office work model.
- Collaboration across more than 25 countries.
- Opportunity to work on data-driven solutions for large enterprise customers.
- AI is incorporated into everyday workflows and innovation practices.
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