
at J.P. Morgan
Bulge Bracket Investment BanksPosted 2 months ago
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Lead customer success for the Chief Data and Analytics Office, owning the end-to-end client service experience for a 200,000+ user base across regions. Develop and execute strategies for onboarding, product adoption, retention, tooling, metrics (OKRs/KPIs) and incident management while partnering closely with Product, Engineering, SRE and GTM teams. Build and scale a 10–12 person global client service team, coach best practices, and continuously improve service quality through data, feedback, and operational rigor.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
Job responsibilities
- Develops and executes a comprehensive customer success strategy through proactive engagement, onboarding, product adoption, expansion, and execution, while considering past and current strategies to identify opportunities for improvement and align with company objectives
- Coaches the team on account meeting best practices including communications, customer retention, research, and expansion
- Builds and owns the strategy for key success metrics to track customer health, adoption, retention rates, and customer satisfactions (CSAT), and delivers these metrics to leadership
- Define the strategy for client service tooling—including ticketing, routing, automation, and self-service—and drive the evolution of documentation, FAQs, and knowledge bases to empower users and reduce friction.
- Partner with engineering, SRE, and product teams to ensure service tools are reliable, efficient, and aligned with user needs.
- Collaborate across Product, Service Delivery, GTM, Engineering, and SRE to deliver a unified client experience, represent the client voice in strategy and planning, and drive adoption and education through GTM and enablement partnerships.
- Define, track, and manage OKRs and KPIs for client service to ensure transparency and measurable progress, and build scalable processes, playbooks, and workflows for consistent service delivery across regions and time zones.
- Lead incident management and escalation processes with clarity, speed, and effective cross-team coordination.
- Build and lead a 10–12 person global client service team, including analysts, associates, and senior specialists, while establishing a structured pipeline to onboard four new junior team members per year and promote mobility and development.
- Foster a high-performance environment grounded in accountability, empathy, and operational rigor.
- Own the global client service strategy for the data & AI platform, ensuring a seamless, high-quality experience for 200K+ users by establishing a single entry point for inquiries, driving fast and reliable support, and continuously improving service quality through data, feedback, and proactive issue identification.
- 8+ years of experience or equivalent expertise in customer success roles in product or technology
- Experience managing customer bases with technology applications and advising teams on best practices
- Proven ability to influence the adoption and retention of our products across a diverse customer base
- Demonstrated prior experience leading a team across highly matrixed and complex organizations while delivering value at scale
- Executive‑level experience leading client service or support operations in a large, global, technology, data or ai organization.
- Proven track record of delivering exceptional client experience at scale, ideally supporting complex technical platforms.
- Strong operational leadership: process design, KPI/OKR management, tooling strategy, and continuous improvement.
- Experience building and developing high‑performing teams, including early‑career talent pipelines.
- Ability to operate in a fast‑paced, matrixed environment with global stakeholders.
- Deep commitment to service excellence, clarity, and user‑centric design.
- Experience in a business to business (B2B), software as a service (SaaS), or technology environment
- Advanced knowledge of the product development life cycle, technical design, and data analytics
- Knowledge of customer consumption and renewal patterns



