1 день назад
Chief Data Officer (AI)
240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Chief Data Officer (AI): Owning end-to-end data strategy and building scalable data platforms with an accent on data architecture, governance, analytics, and business impact. Focus on leading data science and engineering teams, integrating AI/ML into products and operations, and connecting data initiatives to measurable revenue and efficiency outcomes.
Location: United States, remote
Market compensation: around $240K median, with strong performers reaching $400K–$470K.
Company
is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.
What you will do
- Own the end-to-end data strategy, including infrastructure, pipeline architecture, governance, quality, and analytics.
- Lead and scale data science and engineering teams, set hiring standards, mentor senior individual contributors, and build a culture of experimentation and accountability.
- Partner with C-suite and business leaders to identify data initiatives, prioritize investments, and communicate insights that influence business outcomes.
- Drive data governance, security, and compliance frameworks that support growth without creating bottlenecks.
- Integrate AI and ML capabilities into products and operations to enable automation and predictive decision-making.
- Build the modern data platform, including cloud infrastructure, tooling, self-service analytics, metrics, KPIs, and dashboards.
Requirements
- 10+ years of experience in data science, data engineering, or analytics, including 5+ years in leadership or staff-level roles building and scaling data functions.
- Experience shipping production data systems such as pipelines, warehouses, data lakes, or real-time analytics platforms, and managing technical debt at scale.
- Track record of translating data capabilities into measurable business value through cross-functional work with product, finance, and operations.
- Strong foundation in SQL, statistics, and data architecture, with the ability to work through technical details while setting vision.
- Experience with AWS, GCP, or Azure and modern data tooling; familiarity with ML engineering, MLOps, or AI integration is advantageous.
- Excellent communication skills for explaining data concepts to technical and non-technical stakeholders and navigating organizational change.
Culture & Benefits
- Permanent remote opportunities for candidates based in the United States.
- Opportunities are sourced through ’s candidate network and may become available as relevant executive roles arise.
- Roles span technology, financial services, professional services, and healthcare organizations.
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