BlackRock
VP - Data Product Manager

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About this role
Data is at the heart of Aladdin, and the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for BlackRock and our clients. The Aladdin Data team is responsible for the firm's data ecosystem, enabling data to 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. Through the firm's Data Marketplace, the team delivers trusted, reusable, and AI-ready data that supports investment processes, operational excellence, analytics, and client outcomes.
Your role and impact
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.
As a Data Product Manager, you will help define, deliver, and drive adoption of marketplace capabilities that support onboarding, governance, stewardship, discovery, access, quality, and reusable data products. You will partner closely with product, engineering, operations, risk, compliance, and business stakeholders to deliver scalable solutions that improve data accessibility, governance, and reuse across the organization.
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:
- Define the vision, strategy, roadmap, and priorities for Data Marketplace capabilities supporting Technology & Operations.
- Translate business, operational, and governance requirements into product features, measurable outcomes, and delivery plans.
- Own and prioritize the product roadmap and engineering backlog based on user needs, adoption objectives, and strategic value.
- Partner across Product, Engineering, Operations, Risk, Compliance, and business teams to align delivery with enterprise priorities.
- Drive adoption through onboarding, documentation, demonstrations, release readiness activities, and promotion of reusable marketplace capabilities.
- Shape capabilities that support AI-ready data, automation, and scalable governance across the data ecosystem.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Your experience
- Bachelor’s degree in technology, data, business, or a related field.
- Demonstrated experience leading product management, data product management, data governance, or related initiatives in complex enterprise environments.
- Experience delivering enterprise data products, governance, stewardship, or marketplace capabilities, with a demonstrated ability to define roadmaps, prioritize outcomes, 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 beneficial.
- Strong SQL skills with the ability to query and analyze complex datasets, investigate data quality issues, and partner effectively with engineering and data teams to define requirements.
- Experience with one or more of the following domains: Trading, Accounting, Reference and Market Data, Custody and Asset Servicing, Investment Operations, Risk and Analytics, Corporate Data, Regulatory and Compliance, Sustainability, or Private Markets / Alternatives.
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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