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Head of AI and Data Transformation - Global Product Solutions
BlackRock2 LocationsPosted 29 April 2026
Job Description
About this role
BlackRock’s Global Product Solutions (GPS) group partners across the firm to lead the iShares business and drive the commercial priorities spanning all of BlackRock’s investment capabilities. This encompasses innovating new products, curating the product platform, commercializing products at scale, and developing actionable market and portfolio insights.
The Head of AI and Data Transformation will be responsible for leading strategy and oversight of GPS’s AI and data efforts. In this role, you will work as a horizontal leader, driving outcomes with partners across functions and the firm to optimally deploy BlackRock’s AI and data resources to enhance BlackRock’s entire product platform.
Responsibilities:
iShares has a long history as an innovation leader in the asset management industry, redefining how investors access markets through scale, technology, and product design; this role will build on that legacy by championing the adoption of AI‑enabled tools and capabilities to unlock new growth opportunities, enhance product differentiation, and extend iShares’ leadership position into the next generation of digital and data‑driven investing.
Lead an AI-powered reimagining of end-to-end product value creation at BlackRock (including product innovation, product development, and product commercialization to clients) to enhance capacity, speed to market, and commercial success
Architect and deploy AI capabilities to accelerate time‑to‑market, enhance decision‑making, and drive sustained commercial growth across the product organization.
Implement a product data strategy, leveraging existing internal databases, third party tools, and client data from partner distribution firms to enhance strategic insights and support product targeting and executive decision making
Develop and drive a comprehensive strategy for broad AI tooling, enablement, and engagement across the entire product organization, serving as the senior sponsor and champion for AI adoption in product
Manage the existing set of critical product reporting infrastructure, including daily ETF industry global flash updates used by BlackRock c-suite management
Educate the business on the AI commercial opportunity and establish a data-driven, results-oriented culture of success within GPS to drive adoption
Monitor industry trends with respect to advances in AI and data to inform strategic pivots and ensure the business remains at the forefront of innovation
Oversee a team of approximately 20 technology strategists and data engineers spread across San Francisco, New York, London, and Budapest
Your Experience:
10 years of work experience, experience in wealth management or investment management preferred
Demonstrated experience developing an AI and data strategy within a complex and nuanced global organization
Ability to clearly articulate objectives and influence outcomes
Excellent verbal and written communication skills
Experience in business process analysis, design, and implementation
Ambitious and proactive – able to show initiative and come up with ideas without prompting
Technical aptitude, understanding technology in a business context
Experience working with distribution teams across multiple functions
Sense of curiosity and the courage to ask tough questions
Bachelor’s Degree

For SF4-San Francisco - 400 Howard Street and NY7 - 50 Hudson Yards, New York Only the salary range for this position is USD$270,000.00 - USD$350,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive heal ... (truncated, view full listing at source)
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