3 дня назад
AI Enablement Lead – Product Strategy Group (AI)
205 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Enablement Lead – Product Strategy Group (AI): Driving enterprise AI adoption across the Product Strategist lifecycle, from opportunity identification and product launches to distribution, client acquisition, content creation, and servicing, with an accent on workflow transformation, production-grade AI delivery, and adoption at scale. Focus on prioritizing AI use cases, translating business workflows into implementation-ready requirements, and embedding AI tools into day-to-day financial-services operations.
Location: Newport Beach, California, USA
Salary: $205,000–$240,000 base salary, plus a discretionary bonus
Company
is a global active fixed-income investment manager serving institutional and retail clients across public and private markets.
What you will do
- Own AI enablement across the Product Strategy lifecycle, including opportunity identification, product launches, distribution, client acquisition, content creation, and client servicing.
- Identify and prioritize high-impact AI use cases and develop a roadmap aligned with Product Strategy Group and firm-wide objectives.
- Map fragmented workflows and legacy processes to reduce repetitive manual work and improve speed, quality, and scalability.
- Translate business needs into implementation-ready requirements and partner with Technology and Engineering on production-grade AI solutions.
- Lead delivery from opportunity identification through rollout, adoption, training, and change management.
- Establish playbooks and standards for scaling successful AI solutions across the group and adjacent business units.
Requirements
- Bachelor’s degree in a technical, quantitative, or related field from an accredited four-year institution.
- Proven experience leading enterprise-scale AI, automation, or productivity-tool deployments.
- Strong ability to translate business workflows into AI-enabled automation and decision-support solutions.
- Experience delivering practical solutions in complex environments with fragmented data and legacy systems.
- Ability to partner effectively with engineering teams while maintaining focus on business outcomes.
- Strong execution, communication, stakeholder-influence, and change-management skills, with familiarity with AI/ML concepts and modern enterprise tooling.
Nice to have
- 7+ years of relevant experience in asset management or financial services.
Culture & Benefits
- Full-time employment with a total compensation package consisting of base salary and discretionary bonus.
- Performance-based bonus considerations include company, business, team, and individual performance.
- Inclusive, high-performance culture built around Collaboration, Openness, Responsibility, and Excellence.
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