招聘

Executive Director, Customer Success & GTM – Data, Analytics & AI Product Portfolio
NY, United States, US
·
On-site
·
Full-time
·
1w ago
Join us at the forefront of innovation, where your leadership will shape the future of Data, Analytics, and AI. As Executive Director, you will drive transformative change and champion generative AI opportunities. Your impact will be felt across the organization, empowering teams and clients to unlock new value. This is your chance to lead a high-performing team and influence how our products are recognized and adopted. Be part of a dynamic environment that values collaboration, growth, and client-centricity.
As an Executive Director in the Data, Analytics, and AI team, you lead the customer success function, driving strategic change and go-to-market execution. You champion a client-centric mindset, ensuring our product capabilities are recognized, adopted, and leveraged by stakeholders. You collaborate across product, technology, and business communities to maximize awareness and engagement. Together, we unlock the full potential of our GenAI-driven products and foster sustained growth and innovation.
Job responsibilities
- Lead and inspire a high-performing customer success team
- Develop frameworks for proactive client engagement and feedback
- Design and implement change management strategies for product adoption
- Partner with product, technology, and business leaders to drive seamless transitions
- Develop and execute go-to-market plans for Data, Analytics, and AI products
- Lead cross-functional initiatives to increase product awareness and adoption
- Advocate for the voice of the client in product development
- Establish and track metrics for client satisfaction and business outcomes
- Position the organization as a leader in generative AI
- Collaborate with marketing, sales, and product teams on targeted campaigns
- Build strong relationships with stakeholders across business units
Required qualifications, capabilities, and skills
- 12 years of experience in customer success, change management, or go-to-market roles within technology, data, or AI-driven organizations
- Proven track record in leading large-scale transformation and adoption initiatives
- Deep understanding of data, analytics, and AI product landscapes, including generative AI
- Exceptional communication, leadership, and stakeholder management skills
- Strategic thinker with a client-centric mindset and strong execution capabilities
- Experience working in matrixed, global organizations
Preferred qualifications, capabilities, and skills
- Experience developing and executing go-to-market strategies for AI products
- Expertise in building and leading customer success teams in technology environments
- Strong background in change management for digital transformation
- Ability to drive cross-functional collaboration and alignment
- Familiarity with client engagement frameworks and feedback mechanisms
- Knowledge of metrics and KPIs for tracking adoption and business outcomes
- Experience facilitating forums, workshops, and communications for stakeholder engagement
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1份报告
$139,000
年薪总额
基本工资
$107,000
股票
-
奖金
-
$139,000
$139,000
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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