Technical Account Manager – Data & Analytics – FINANCIAL/Investment Asset Management – Cape Town – Working remotely from home Full Time

About the Job:

This is a critical leadership role responsible for the operational success and entrenchment of two strategic enterprise accounts. The Technical Account Manager will lead a dedicated team of Data Engineers, ensuring the successful delivery of complex market data warehousing and transaction processing pipelines. This role bridges the gap between high-stakes client management, strict SLA adherence, and technical team leadership

Requirements:

• 5+ years of experience in Technical Account Management, Technical Delivery, or IT Service
• Management, ideally within the financial services, investment management, or data engineering sectors
• Proven experience managing technical teams, with a strong focus on mentorship, empathy, and performance enablement
• Exceptional stakeholder management skills, with a track record of handling high-pressure situations, navigating difficult client conversations, and managing tight SLA deadlines
• Strong technical fluency in data pipelines, database architecture, and market data workflows. (Note: You will not be writing code, but you must be able to understand the high level implications in architectural discussions with developers and enterprise architects)
• Experience managing enterprise change control processes and release management schedules

Duties & Responsibilities:

Client & Service Management

• Own the end-to-end operational relationship with enterprise clients, serving as the primary point of contact for technical delivery, SLA adherence, and account entrenchment
• Conduct monthly service reviews, presenting performance metrics, incident reports, and capacity planning to senior client stakeholders
• Manage the end-to-end incident lifecycle, acting as the ultimate escalation point for severity issues and ensuring timely communication of workarounds and root-cause analyses
• Liaise directly with third-party data vendors to resolve blockers and maintain SLA compliance for market data availability
• Identify opportunities for account growth and software entrenchment, working with client Business
• Analysts and Architects to propose new use cases for our data solutions

Team Leadership & Operations

• Directly manage a team of Data Engineers, fostering a supportive, growth-oriented culture while ensuring optimal resource allocation
• Oversee release management processes, coordinating with your team and the client to schedule and execute upgrades, bug fixes, and environment testing (Dev, QA, Pre-Prod, Prod)
• Protect the engineering team from scope creep and manage stakeholder expectations regarding turnaround times for change requests and custom development
• Ensure institutional knowledge is documented, preserved, and distributed across the team to prevent single points of failure

Technical Translation

• Maintain a solid understanding of the client’s data processing pipelines, market data warehousing, and reporting requirements to facilitate high-level technical discussions
• Know when to bring in Business Analyst/Architect colleagues into the discussions

Salary

• Market related based on candidate experience and proficiency.

Hiring Process

They respect your time and aim to complete this process efficiently. The interview stages are designed to give you a clear understanding of the role, the clients, and the team you will be leading.

Stage 1: Initial Conversation (45 Minutes) A discussion with their operational leadership to explore your background in technical account management, your approach to team leadership, and your familiarity with data-driven software environments.

Stage 2: Scenario Interview (60 Minutes) A practical, discussion-based interview with their Managing Director and a Technical Lead. They will walk through a real-world, high-pressure client scenario to understand how you prioritize issues, manage stakeholder communication, and coordinate with technical teams during a critical incident. (Note: This is an architectural and process discussion; no coding is required).

Stage 3: Scope Management Workshop & Team Meet (90 Minutes) For the final stage, they will step away from formal presentations and run a practical prioritization workshop. They will provide a set of concurrent, conflicting client requests and ask you to walk them through how you would triage the work, communicate boundaries to a difficult stakeholder, and protect your team’s capacity. Following this, you will spend 30 minutes with members of the Data Engineering team you will be managing to ensure mutual cultural fit.

A final decision will be made

Should you meet the above requirements, we urge you to apply by forwarding your CV along with any supporting documents to tracy@glass-house.co.za