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BlackRock

VP - Data Product Management

London
Posted about 18 hours ago
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About this role

About Aladdin Data (AD)

Data is at the heart of Aladdin and increasingly the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for BlackRock and our clients. The Aladdin Data (AD) team is responsible for the firm's data ecosystem, ensuring data can be discovered, trusted, accessed, and used effectively across investment, operations, analytics, 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.

AD supports four strategic outcomes that together advance BlackRock's data strategy:

  • Deliver high-quality, trusted data products and services that power investment processes, operational workflows, and client solutions.
  • Enable data producers to publish and distribute data through a scalable marketplace, making both Aladdin and BlackRock-generated content easily discoverable and consumable.
  • Provide well-governed data that fuels AI, analytics, and emerging digital capabilities across the firm.
  • Offer common standards, tooling, governance, and reusable services that allow teams to focus on creating business value rather than building bespoke data infrastructure.

The team builds common standards, governance, tooling and reusable services that help data producers publish high-quality data and help consumers find, trust and use it without building bespoke infrastructure.

About this role

We are building the BlackRock Data Office within Aladdin Data to enable trusted, reusable and AI-ready data across Technology & Operations through the firm’s Data Marketplace.

We are looking for a Vice President, Data Product Management to help define, deliver and drive adoption of marketplace capabilities spanning onboarding, governance, stewardship, discovery, access, quality and reusable data products.

Core Responsibilities

  • Product strategy & roadmap – Define the vision, roadmap and priorities for marketplace capabilities supporting Technology & Operations.
  • Delivery & execution – Translate business and governance needs into product features, measurable outcomes and delivery plans.
  • Backlog ownership – Prioritize the 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 & enablement – Drive onboarding, documentation, demos, release readiness and reuse of marketplace capabilities.
  • AI & innovation – Shape capabilities that support AI-ready data, automation and scalable governance.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Required Experience

  • Bachelor’s degree in a technology, data, business or related discipline.
  • 8+ years in Product Management, Data Product Management, Data Governance or a related discipline.
  • Experience delivering enterprise data, governance, stewardship or marketplace capabilities.
  • Proven ability to define roadmaps, manage priorities and lead cross-functional initiatives.
  • Strong communication, stakeholder management and Agile delivery skills.
  • Experience with tools such as Aha!, Azure DevOps, Jira or similar platforms; financial services data experience is a plus.

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.

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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.

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Skills

Product Management
Data Product Management
Data Governance
Data Stewardship
Roadmap Definition
Stakeholder Management
Agile Delivery
Data Marketplace
Enterprise Data
Cross-functional Leadership
Aha!
Azure DevOps
Jira
Financial Services Data
AI-ready Data
Data Strategy

Location

London, England, United Kingdom

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