Sr. Data Programme Lead - Financial Crime Platforms (Hybrid)

Bpxglobal; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Bpxglobal in London invites an experienced Senior Data Programme Manager to drive a large-scale data transformation focusing on Financial Crime capabilities within the financial services sector.

You'll plan and deliver multiple data products, coordinate Data Product Owners across workstreams, and manage dependencies between business and technology teams while challenging technical plans when needed.

Qualifications

• Extensive experience leading large data/programmes in financial services.
• Hands-on experience with data product builds and delivery.
• Knowledge of data platforms and cloud technologies (AWS, Databricks, Teradata).
• Experience operating under regulatory pressure and in complex, matrixed organisations.

Responsibilities

• Develop delivery plans for 2027, including priorities, resource requirements, timelines and data product roadmaps.
• Coordinate Data Product Owners across multiple workstreams, ensuring clear ownership and timely delivery.
• Review and challenge technical delivery plans, assess feasibility and identify opportunities to improve delivery efficiency.
• Work with architecture and engineering teams to drive decisions related to data platforms and dependencies.
• Manage cross-functional dependencies across business units, central data platform teams and distributed technology teams.
• Identify delivery risks, resolve blockers and escalate critical issues with clear recommendations.
• Collaborate with Data Directors and senior stakeholders to ensure alignment on priorities and delivery progress.

Skills

Programme management

Data product delivery

Cloud data platforms

Stakeholder management

Cross-functional leadership

Job description

Bpxglobal in London invites an experienced Senior Data Programme Manager to drive a large-scale data transformation focusing on Financial Crime capabilities within the financial services sector.

You'll plan and deliver multiple data products, coordinate Data Product Owners across workstreams, and manage dependencies between business and technology teams while challenging technical plans when needed.