Београд, Србија
Hybrid
About this role
BlackRock Aladdin Data is entrusted with maintaining all data integral to the investment decision process for BlackRock, and for our Aladdin® and eFront® platforms. Data is at the heart of Aladdin, and the ability to consume, store, analyze, and derive insight from data is a key component of our competitive advantage.
The Private Markets Data Governance and Master Data Management team, part of the Private Data Services (PDS) organization, is responsible for ensuring the accuracy, timeliness, and reliability of private markets data for the Aladdin and eFront communities. We partner closely with Operations, Product and Engineering teams to deliver world-class service to Limited Partners and internal users.
We are seeking a Data Quality & Governance Lead to modernize and evolve our data governance framework, ensuring data across our platform is trusted, scalable, and AI‑ready. This role will be instrumental in redefining how data quality is measured, governed, and continuously improved through automation, AI, and intelligent tooling to enable growth at scale.
What you’ll be doing
Set direction for how automation and AI are applied to data quality and governance, balancing innovation, risk, and scalability.
Lead the evolution of data quality practices from manual controls to technology‑enabled, scalable solutions, leveraging automation, AI, and advanced analytics.
Ensure data quality is measurable, transparent, and continuously improving through robust metrics, KPIs, and validation frameworks, increasingly enabled by automation and analytics.
Grow and develop a high-performing team, setting direction for how data quality and governance scale across services and capabilities.
Partner with Operations, Product and Engineering teams to embed data quality, validation, and governance controls into platforms and upstream workflows.
Identify systemic data quality risks and opportunities, leading transformation initiatives to improve efficiency and scalability.
Act as an ambassador for data governance, influencing stakeholders to adopt modern, technology‑led ways of working.
What you need
Bachelor’s degree and proficiency in English for business purposes.
6+ years’ experience in data, analytics, technology, or governance‑related roles, including at least 2 years leading teams in scaled, technology‑driven environments.
Proven ability to lead the modernization of data quality through automation, AI, and advanced analytics, moving controls upstream and reducing reliance on manual processes.
Deep knowledge of data quality metrics, KPIs, and continuous improvement practices within an AI-enabled operating model.
Demonstrated capability to translate business requirements into scalable, system-embedded solutions in partnership with Product and Engineering teams.
Excellent communication and influencing skills
Good to have
Experience in private markets, alternative assets, or financial services data management
Familiarity with SQL, Python, PowerBI or other tools for data manipulation.
Advanced user of MS Office (especially advanced Excel functions, e.g. V-lookups, Macros).
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.
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