3 часа назад
Senior Vice President, Data Operations (AI)
315 000 - 375 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Vice President, Data Operations (AI): Leading the strategy, architecture, and execution of an enterprise-wide, petabyte-scale data platform spanning ingestion, warehousing, streaming, governance, and AI enablement with an accent on reliability, data quality, compliance, and organizational leadership. Focus on architecting batch and real-time pipelines, enabling generative AI and ML infrastructure, and building a trusted data foundation for content, audience, advertising, and product functions.
Location: New York, NY; hybrid in-office three days per week, with remote work permitted up to two days per week.
Salary: $315,000–$375,000 annually, plus potential bonuses and short- and long-term incentives.
Company
is a large digital media company operating a portfolio of brands and using multi-petabyte data infrastructure to support content, audience, advertising, and revenue initiatives.
What you will do
- Define and execute a multi-year enterprise data platform strategy aligned with content, audience, advertising, and product goals.
- Architect and oversee petabyte-scale batch and real-time data ingestion, transformation, storage, and serving infrastructure.
- Lead data warehouse and lakehouse evolution, streaming architecture, platform reliability, performance, and cost efficiency.
- Establish data governance, ownership, lineage, cataloging, quality SLAs, privacy, and compliance frameworks.
- Build and lead Data Engineering, Platform Engineering, and Analytics Engineering organizations.
- Enable generative AI and ML applications through model training pipelines, embedding stores, experiment tracking, and advanced analytics.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 15+ years of progressive experience in data engineering, data platform architecture, or analytics infrastructure.
- At least 5 years of experience in a senior leadership role.
- Proven experience designing and scaling petabyte-level data platforms in a high-traffic, data-intensive industry.
- Deep expertise in data lakes and lakehouses, cloud data warehouses, stream processing, orchestration, cloud platforms, distributed systems, data governance, metadata management, and data quality.
- Strong strategic planning, architectural decision-making, communication, and executive presence.
Nice to have
- Master's degree or PhD.
- Experience in digital media, content platforms, advertising technology, e-commerce, fintech, or similar industries.
Culture & Benefits
- People-first culture focused on craft, innovation, ownership, and continuous growth.
- Medical, dental, vision, prescription drug, life, disability, and supplemental insurance options.
- Unlimited paid time off, paid holidays, paid parental leave, and family care benefits.
- 401(k) savings plan with company match, health savings and flexible spending accounts, commuter benefits, and tuition reimbursement.
- Adoption or surrogate assistance, donation matching, and voluntary pet and accident insurance benefits.
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