AI maturity
building
Director of AI
Director of AI/ML Data Engineering
BNY · Financial Services / Asset Custody & Management · 📍 Manchester, England, United Kingdom
BNY is hiring a senior AI/ML data engineering director in Manchester to build and scale machine learning data infrastructure within one of the world's oldest and largest financial institutions as it modernises its technology stack.
Reports to
CTO
Company stage
public
Source
linkedin
Key responsibilities
- Lead design and delivery of ML data pipelines and engineering platforms supporting AI initiatives
- Partner with data science, product, and technology teams to align data infrastructure with ML model requirements
- Define and enforce data engineering standards, governance, and best practices for AI/ML workloads
- Drive adoption of modern data stack tooling (e.g., feature stores, data lakes, orchestration frameworks)
- Recruit, manage, and develop a team of data engineers specialising in ML workflows
Requirements
- Proven experience in a senior data engineering leadership role within large-scale or regulated environments
- Deep expertise in ML data pipeline architecture (e.g., Spark, Kafka, Airflow, dbt or equivalents)
- Track record of delivering production-grade AI/ML data infrastructure
- Strong stakeholder management skills across technical and business domains
Signals
- ⚠ No salary range disclosed — unusual for a Director-level posting in a competitive UK market
- ⚠ Job description body not provided, limiting ability to verify scope and requirements
- ⚠ No previous postings history to benchmark against
- ✓ BNY is a Tier 1 global financial institution with substantial technology investment budget
- ✓ Manchester location signals deliberate UK tech hub expansion, not just backfill
- ✓ Director-level AI/ML engineering hire suggests genuine organisational commitment to ML infrastructure
- ✓ Growing regulatory and competitive pressure in financial services is accelerating AI investment