Level

BlackRock

Director, Data Product Manager

BlackRock is hiring a Director, Data Product Manager in London, United Kingdom. Level rates it ; you can apply on BlackRock.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include product management, data governance and data marketplace.
  • Level classifies it as a senior role.
  • Level lists 293 other open roles at BlackRock.
  • The role was posted within the past two weeks.

AI in this role

Define and drive adoption of enterprise data marketplace capabilities, providing well-governed data for AI and analytics.

product-managementdata-governancedata-marketplacestakeholder-management

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.
  • Adoption and enablement: Drive onboarding, documentation, demonstrations, release readiness and reuse of marketplace capabilities.
  • AI and innovation: Shape capabilities that support AI-ready data, automation and scalable governance.

Your experience


  • Bachelor’s degree in a technology, data, business or related discipline, with demonstrated depth of experience in Product Management, Data Product Management, Data Governance or a related discipline.
  • Experience delivering, building or scaling enterprise data capabilities, including data marketplaces, data catalogues, governance, stewardship or enterprise data platforms.
  • Proven ability to define roadmaps, manage priorities and lead cross-functional initiatives, including large-scale data transformation, modernisation or platform adoption.
  • Experience working with Agile methodologies and product management tooling.
  • Excellent communication, presentation and executive stakeholder management skills.
  • Extensive experience in asset management, capital markets, investment operations or financial services, with domain expertise spanning one or more relevant areas such as trading, accounting and performance, asset servicing, market and reference data, risk and analytics, regulatory reporting, sustainability, private markets or enterprise functions.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.


BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

How we rate this

Director, Data Product Manager at BlackRock rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementData GovernanceData MarketplaceStakeholder Management

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$180k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where data governance was part of your work. What did you do?
  3. Tell me about a project where data marketplace was part of your work. What did you do?
  4. Tell me about a project where stakeholder management was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Product Management, Data Governance, Data Marketplace, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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