10 часов назад
Vice President, Client Delivery (AI Data Products)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Vice President, Client Delivery (AI Data Products): Leading end-to-end delivery of custom data products and data quality engagements for commercial clients with an accent on portfolio operations, executive client relationships, and AI/ML data requirements. Focus on scaling project management teams, governing delivery KPIs, managing complex tradeoffs, and building processes for concurrent data product engagements.
Location: Remote in Brazil, the United States, Canada, Colombia, Peru, Ecuador, Mexico, or other locations within 1–2 hours of the US Eastern Time zone
Company
provides ethically sourced data, AI training data, and end-to-end data services through an AI marketplace.
What you will do
- Lead, develop, and scale a team of project managers responsible for custom data products and embedded data quality teams.
- Own delivery quality, timelines, resourcing, budgets, risks, and client satisfaction across concurrent engagements.
- Act as the senior executive contact for commercial and enterprise clients, managing expectations, escalations, scope, and tradeoffs.
- Establish delivery methodologies, standards, team structures, KPIs, and quality metrics for data product engagements.
- Partner with the CIO, executive leadership, sales, account management, engineering, and data science on delivery strategy and technical constraints.
- Improve delivery processes, tooling, quality frameworks, service offerings, and capacity planning as the portfolio grows.
Requirements
- 7+ years of experience in project or program delivery leadership, including complex custom data projects for external commercial clients.
- Experience managing teams of project managers and multi-project portfolios.
- Experience managing sophisticated commercial or enterprise client relationships and executive-level communications.
- Strong knowledge of data products, data pipelines, data quality operations, AI, and machine learning data requirements.
- Bachelor’s degree required; business, data science, or computer science education is relevant.
- Ability to work within 1–2 hours of the US Eastern Time zone.
Nice to have
- Experience in data services, data annotation or labeling, data licensing, or a comparable data-as-a-product business.
- Advanced degree in business, data science, or computer science.
Culture & Benefits
- Flexible working schedule with remote and hybrid work options.
- Career development support in a high-growth company.
- Feedback-driven culture focused on continuous improvement and AI industry trends.
- International and diverse team representing more than 23 nationalities, with language classes.
- Training through workshops, Coursera access, and formal development opportunities.
- Office benefits include meals, weekly social events, extra time off, and in-office massages.
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