Head of AI & Data Transformation
BlackRock · Financial Services / Asset Management · 20,000+ employees · 📍 London, England, United Kingdom
BlackRock is hiring a senior AI and data transformation leader to embed AI and data capabilities at scale within its Global Product Solutions division, reflecting a strategic imperative to modernise investment product infrastructure amid accelerating industry-wide AI adoption.
Key Responsibilities
- Lead AI and data transformation strategy across BlackRock's Global Product Solutions division
- Accelerate integration of AI and data capabilities into investment product and client solutions infrastructure
- Drive enterprise-scale adoption of AI tools and data platforms across product teams
- Partner with technology, investment, and client-facing teams to embed AI-driven workflows
- Define and execute roadmap for data and AI maturity within the division
Requirements
- Proven senior leadership experience in AI and/or data transformation at enterprise scale
- Deep understanding of investment products or asset management industry
- Track record of leading cross-functional transformation programmes
- Ability to operate in a highly regulated financial services environment
Signals
- ⚠ No salary disclosed — atypical for a senior London-based role and reduces transparency for candidates
- ⚠ Vague description with limited detail on team structure, reporting line, or budget authority
- ⚠ Posting appears again in 2026 with near-identical language to prior posting — possible failed search
- ✓ BlackRock is one of the world's largest asset managers ($10T+ AUM), offering significant platform and resource access
- ✓ Global Product Solutions is a high-priority, client-facing division — strong strategic visibility
- ✓ Enterprise-scale mandate signals real budget and cross-divisional authority
- ✓ Sustained commitment evidenced by repeated posting suggests genuine organisational need
Company History
This role was posted at least twice — with a prior posting dated 2026-05-30 using near-identical framing. The repeated posting within a short window suggests either an unsuccessful prior search, an internal restructure that reset the hiring process, or an expanding scope that required reposting. Senior candidates should probe why the role is still open.