Technical Account Manager - Data & Analytics, Financial Services

About the role

This is a critical leadership role responsible for the operational success of two strategic enterprise accounts. The Technical Account Manager leads a dedicated team of Data Engineers, delivering complex market data warehousing and transaction processing pipelines. The role sits between client management, strict SLA adherence and technical team leadership, and is advertised as working remotely from home.

Key responsibilities

• Own the end-to-end operational relationship with enterprise clients, as the primary point of contact for technical delivery, SLA adherence and account entrenchment
• Run monthly service reviews with senior client stakeholders, covering performance metrics, incident reports and capacity planning
• Manage the full incident lifecycle, acting as the escalation point for severity issues and communicating workarounds and root causes
• Liaise with third-party data vendors to resolve blockers and keep SLAs on market data availability
• Identify account growth and software entrenchment opportunities with client analysts and architects, proposing new use cases for data solutions
• Lead a team of Data Engineers, allocating resources and protecting the team from scope creep
• Oversee release management, coordinating upgrades, bug fixes and environment testing (Dev, QA, Pre-Prod, Prod)
• Document and share institutional knowledge across the team

Required profile

• 5+ years in Technical Account Management, Technical Delivery or IT Service
• Management experience, preferably in financial services, investment management or data engineering
• Proven experience managing technical teams with a focus on mentorship and performance enablement
• Stakeholder management in high-pressure situations and tight SLA deadlines
• Experience managing enterprise change control and release schedules

Required skills

• Fluency in data pipelines, database architecture and market data workflows
• Ability to understand high-level architectural implications in discussions with developers and enterprise architects (no coding required)

Hiring process

• Stage 1: 45-minute conversation with operational leadership
• Stage 2: 60-minute scenario interview with the Managing Director and Technical Lead
• Stage 3: 90-minute prioritisation workshop followed by a 30-minute meeting with the Data Engineering team