Ofertas › BlackRock
BlackRock · London, United Kingdom
About this role Your team Data is at the heart of Aladdin, and the ability to acquire, govern, analyse and derive insights from data is increasingly a key differentiator for BlackRock and our clients. Aladdin Data is responsible for the firm's data ecosystem, helping ensure data can be discovered, trusted, accessed and used effectively across investment, operations, analytics, artificial intelligence (AI) and client solutions. Our mission is to build and operate the capabilities, governance and workflows that enable data producers and consumers across BlackRock to efficiently share and leverage high-quality data at scale. The team delivers trusted data products and services, enables producers to publish and distribute data through a scalable marketplace, provides well-governed data for AI and analytics, and establishes common standards, tooling and reusable services that help teams focus on business value rather than bespoke data infrastructure. Your role and impact We are building the BlackRock Data Office within Aladdin Data to enable trusted, reusable and AI-ready data across Technology and Operations through the firm's Data Marketplace. As Data Product Director, you will help define, deliver and drive adoption of marketplace capabilities spanning onboarding, governance, stewardship, discovery, access, quality and reusable data products. You will connect user and governance needs with product strategy and delivery, helping create scalable capabilities that make high-quality data easier to publish, discover, trust and reuse across the organisation. Your responsibilities In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities: Product strategy and roadmap: Define and execute the long-term vision, strategy and multi-year roadmap for the Data Marketplace and enterprise data product ecosystem. Delivery and execution: Translate business and governance needs into product features, measurable outcomes and delivery plans. Backlog ownership: Prioritise the product roadmap and engineering backlog based on user needs, adoption goals and strategic value. Stakeholder management: Partner across Product, Engineering, Operations, Risk, Compliance and business teams to align delivery with priorities.