5 дней назад
Director, AI Enablement (AI)
177 920 - 266 880$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, AI Enablement (AI): Establishing and scaling responsible internal AI adoption across Product & Solutions with an accent on operating models, governance, reuse, measurement, and business intelligence. Focus on guiding cross-functional teams, developing predictive analytics and data readiness, and translating AI initiatives into measurable productivity and business outcomes.
Location: Holtsville, New York, United States; hybrid work flexibility is available.
Salary: $177,920–$266,880 annual, plus a target annual cash incentive of 25% of base pay.
Company
develops smart solutions that help organizations, employees, customers, and partners address operational challenges.
What you will do
- Establish and maintain a repeatable operating model for responsible internal AI adoption across Product & Solutions.
- Provide portfolio-level visibility into AI initiatives, identifying duplication, conflicting approaches, and opportunities to scale effective solutions.
- Maintain a reuse register for AI patterns, workflows, agents, vendors, and lessons learned.
- Translate enterprise AI governance, security, legal, and regulatory requirements into practical guidance for execution teams.
- Define measurement frameworks for AI adoption, productivity, and business outcomes in partnership with analytics teams.
- Lead and develop an internal business intelligence team while advising Product, Engineering, PMO, and executive leaders.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Data Science, or a highly quantitative related field.
- 10+ years of progressive leadership experience in product development, digital transformation, data science, analytics, or related domains with significant exposure to AI-enabled initiatives.
- 5+ years operating as part of a product development team.
- Experience delivering transformation initiatives across multiple business units or global geographies with verifiable impact metrics.
- Direct people-management experience leading data analytics, business intelligence, engineering, data science, or technical program/product management teams.
- Strong understanding of machine learning, large language models, data architecture, AI data readiness, and enterprise governance environments.
Nice to have
- Master’s degree, MBA, or equivalent.
- Leadership of a significant cross-functional GenAI or automation initiative modernizing operational workflows.
- Experience influencing outcomes without direct authority and communicating complex topics to executive audiences.
Culture & Benefits
- Hybrid work, adaptable hours, Summer Flex Fridays, and Focus Fridays.
- Annual companywide well-being day and work-life balance support.
- Healthcare, wellness programs, inclusion networks, learning and development opportunities, community service days, parental leave, employee assistance, and paid time off.
- Eligibility for cash incentive programs and, for some roles, long-term incentive equity awards.
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