BlackRock
Data Steward - Associate OR VP

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About this role
Your team
We are building a new organization within Aladdin Data: the BlackRock Data Office, focused on enabling trusted, reusable and Artificial Intelligence (AI)-ready data across Technology & Operations.
The BlackRock Data Office serves as the central team responsible for accelerating how data is onboarded, governed, managed and consumed through the firm's Data Marketplace. Working closely with domain teams, engineers, product teams and business stakeholders, the team establishes scalable stewardship, governance and data product practices that enable data to be managed as a strategic enterprise asset. The organization plays a critical role in delivering trusted, discoverable and reusable data that supports operational excellence, analytics and AI innovation.
Your role and impact
We are seeking a Data Steward to help establish and scale data stewardship across Technology & Operations. In this role, you will drive data ownership, governance, quality and accountability across strategic data domains, helping ensure that data is trusted, discoverable, reusable and fit for operational, analytical and AI-driven use cases.
You will work across business and technology teams to strengthen governance practices, improve data quality and advance data product adoption. Your contributions will help enable trusted, well-governed data products that support enterprise decision-making, operational processes and the firm's long-term AI strategy.
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:
- Partner with business, product and engineering teams to establish data ownership, accountability and governance standards while driving adoption of metadata, lineage, data quality and data product practices across Technology & Operations.
- Support the onboarding, governance and lifecycle management of data products while enhancing their quality, usability, discoverability and reuse across the firm.
- Define, monitor and report on data quality controls and metrics, driving remediation of data quality issues, governance gaps and associated risks.
- Establish and support stewardship forums, governance processes and operating models.
- Partner with Data Product Owners, Engineers and Domain Owners to improve the effectiveness, quality and adoption of enterprise data products.
- Drive stewardship best practices and contribute to the long-term vision of the BlackRock Data Office.
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
- Proven ability to apply data stewardship, governance, data management, data quality and data product practices in complex enterprise environments, supported by relevant academic or professional credentials.
- Ability to apply data governance, stewardship, lineage, metadata management and modern data operating models to support enterprise data and analytics platforms.
- Demonstrated success partnering with stakeholders to promote data ownership, accountability and governance practices across business and technology teams.
- Ability to analyze, validate and troubleshoot data using enterprise data catalogs, metadata and lineage platforms, modern cloud data ecosystems, database technologies and SQL.
- Knowledge of financial services data, regulatory environments and one or more business domains such as trading, accounting, reference and market data, investment operations, risk and analytics, regulatory and compliance, sustainability, corporate data or private markets.
- Strong organizational, communication and collaboration skills, with the ability to work effectively across business and technology 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.


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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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