3 дня назад
Senior Director, Personalization Data & AI (AI)
200 200 - 300 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Personalization Data & AI (AI): Designing and commercializing AI products, data and knowledge platforms, and agentic applications for Sales enablement and Customer Experience with an accent on generative AI, personalization, and production-scale ML services. Focus on developing reusable APIs and model protocols, implementing Responsible AI practices, and leading global technology adoption across customer lifecycle, sales process, and process automation.
Location: Hybrid, with required on-site work at an office in Acton, Massachusetts, United States
Annual base salary: $200,200–$300,250 for U.S.-based positions; incentive compensation may also apply.
Company
is a medical device company developing the Omnipod insulin management platform and adapting its technology for other therapeutic areas.
What you will do
- Lead the global adoption of personalization data platforms and generative AI agents across customer-facing technologies and experiences.
- Shape the strategy, roadmap, prioritization, commercialization, and success metrics for AI products supporting Sales and Customer Experience.
- Design and develop AI models, libraries, model development protocols, reusable APIs, and user story-based agentic workflows.
- Partner with SaaS providers and business stakeholders to scale AI technologies across customer lifecycle, sales processes, and process automation.
- Establish Responsible AI practices integrated with AI risk assessment, legal compliance, and cybersecurity.
- Lead the evaluation and selection of data and AI technologies while building a cross-functional AI community of practice.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Neuroscience, or a related field; a Master’s degree or Ph.D. is strongly preferred.
- At least 10 years of leadership experience across analytics, engineering, and product teams, including large-scale cross-functional analytics programs.
- At least 5 years of experience deploying and integrating ML, AI, or generative AI models through microservices and APIs into production systems.
- At least 5 years of experience designing and managing analytical, knowledge graph, and search data platforms supporting personalization analytics, ML, and AI solutions.
- Experience managing relationships with third-party providers and partners and communicating complex technical concepts to executives and board members.
- Hybrid work requires regular on-site presence at an office.
Culture & Benefits
- Medical, dental, and vision insurance.
- 401(k) with company match.
- Paid time off.
- Employee wellness programs.
- Performance-driven environment focused on customer expectations and responsible experimentation.
Hiring process
- The posting remains open until the position is filled.
- Applications are submitted online through the Careers site.
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