Head of Alts Investment Solutions, Data and Automation - HSBC Global Asset Management

GCB 4

We are currently seeking a high calibre professional to join our team as a Head of Alts Investment Solutions, Data and Automation.

In this role you will:

1. Global operating model and service excellence

• Stand up and lead a global, transversal Investment Solutions, Data & Automation team covering investment platforms, operational data capabilities, and automation.
• Define and implement the global operating and support model (roles/ responsibilities, tiered support, escalation paths, hand-offs across regions and centres of excellence).
• Establish service standards (service catalogue, SLAs/ OLAs, incident response expectations, communication routines) across regions and Alternatives capabilities.
• Embed consistent “ways of working” across Operations, Technology, vendors and regional stakeholders.

1. Platform support & change delivery (post go-live ownership)

• Own end-to-end platform run for the Alternatives investment systems estate: BAU support, service management and user support models, Incident and problem management (including trend analysis, remediation), environment governance, change control and deployment readiness, enhancements, backlog management, and lifecycle/obsolescence management.
• Ensure platforms are resilient, scalable and audit-ready, with mature controls, evidence, documentation and repeatable processes.
• Build a strong engagement model with solution providers to ensure fast recovery, high availability and continuous improvement.

1. Data, automation and AI-enabled process improvement

• Drive a multi-year agenda to increase straight-through processing and reduce manual touchpoints across Alternatives Operations.
• Strengthen data quality, lineage, reconciliations, and control reporting, partnering with Data and Technology teams to ensure durable fixes.
• Identify and deliver automation opportunities (workflow, rules-based controls, reconciliation tooling, exception management, AI-assisted triage/ insights where appropriate).
• Co-ordinate with Group Technology, Data Science and AI programmes to industrialise improvements and avoid duplicated effort.

1. Vendor, stakeholder and commercial management

• Own strategic vendor relationships for third-party platforms and data providers: Contract performance, SLAs, service reviews, issue resolution and roadmap influence. Vendor risk, resilience, and exit/contingency planning (where required)
• Partner closely with Operations, Investment, Finance, Risk and Compliance stakeholders to: Prioritise the roadmap and align on service outcomes, Ensure controls meet internal standards and regulatory expectations, Drive transparent governance, clear decisions and timely delivery

1. Leadership, people and culture

• Build and lead a high-performing global team; coach talent and promote inclusive, collaborative working.
• Set clear objectives and measurable outcomes (availability, incident reduction, automation benefits, data quality KPIs).
• Act as a senior leader who “gets it done”: anticipates issues, escalates early, and keeps delivery moving across boundaries.

To be successful you will need:

• Significant experience leading investment operations platform support and change in Asset management/ Alternatives (run + change ownership, not just project delivery).
• Proven track record designing and operating global service management capabilities: incident/ problem/ change/ governance, SLAs, controls and audit evidence.
• Strong stakeholder leadership across Operations, Technology, Risk/ Compliance and vendors, with ability to influence senior audiences.
• Hands-on understanding of data operating models (data quality, lineage, reconciliations, controls, MI/ KPIs) and delivering automation at scale.
• Experience managing third-party providers (commercial governance, SLA performance, issue escalation, roadmap alignment).
• Exposure to Alternatives products and operating models (e.g., Private Markets, Private Credit, Real Assets, Hedge Funds).
• Experience with one or more of the named platforms: eFront, Allvue, Anaplan, HSPAD, and/or enterprise data platforms (Arcesium).
• Experience partnering with AI/ advanced analytics programmes to improve operational outcomes (e.g., exception triage, predictive controls, intelligent workflow).
• Relevant degree (finance, engineering, computer science, operations, or equivalent experience).
• Professional certifications (e.g., CFA, CAIA, ACA/ACCA, FRM) are an advantage.
• Product ownership mindset: clear prioritisation, outcomes-led roadmap, value realisation.
• Operational excellence: control-aware, disciplined governance, dependable execution.
• Automation and data fluency: can translate operational pain points into data/ tech requirements and measurable improvements.
• Clear communication: able to simplify complex topics and drive decisions.
• Leadership across difference: inclusive, collaborative, comfortable working across cultures and time zones.
• Pragmatic problem-solver who moves work forward and removes blockers.

The employment is subject to Mandatory Reference Checking Scheme (MRCS) as per regulatory requirement. For details, please refer to (Mandatory Reference Checking Scheme Phase 2 | The Hong Kong Association of Banks).

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Issued by The Hongkong and Shanghai Banking Corporation Limited.

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