Assistant Director, Data Analytics and Artificial Intelligence

Role Overview

In This Role, You Will

• Own product strategy, roadmap, and outcomes for one or more platform domains.
• Define quarterly objectives and key results and maintain a multi-quarter roadmap using usage data, stakeholder feedback, and changing priorities.
• Drive transparent prioritization across value, risk and control requirements, engineering effort, and operational impact.
• Shape coherent data platform capabilities across the lifecycle from source to consumption.
• Define storage and analytics patterns using BigQuery, data lakes, and lakehouses.
• Shape processing and orchestration, dependency management, and resiliency patterns.
• Partner with Cyber Security, Architecture, and Risk and Compliance to embed controls into platform design.
• Implement secure-by-default configurations, automated evidence, and policy enforcement.

To Be Successful You Will

• 8–12 years of product management experience with data, cloud, developer, machine learning, or artificial intelligence platforms, ideally in large-scale environments.
• Strong working knowledge of Google Cloud services including BigQuery, Google Cloud Storage, Pub/Sub, Dataflow or Dataproc, Vertex AI, Identity and Access Management, Key Management Service, and Cloud Operations.
• Strong end-to-end data platform knowledge across ingestion, storage, processing and orchestration, governance and metadata, quality, and consumption patterns.
• Understanding of artificial intelligence enablement for machine learning and generative artificial intelligence operationalization.
• Experience balancing developer experience with security, governance, reliability, and auditability in regulated environments.
• Strong stakeholder management and communication skills with senior stakeholders.
• Experience implementing generative artificial intelligence patterns on Vertex AI.
• Familiarity with Data Catalog, data lineage, and data quality frameworks.
• Finance operations experience optimizing analytics and machine learning workloads.

About HSBC