At a Glance
- Tasks: Lead the establishment of data stewardship and governance practices across BlackRock.
- Company: Join BlackRock, a leader in investment management and data solutions.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Be part of a pioneering team focused on AI-ready data solutions.
- Why this job: Shape the future of data management and drive impactful change in a dynamic environment.
- Qualifications: Proven leadership experience in data governance and stewardship.
The predicted salary is between 112500 - 137500 £ per year.
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
hackajob is partnering directly with Black Rock to hire for this role.
- 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 Black Rock 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 Black Rock to efficiently share and leverage high-quality data at scale.
- AD supports four strategic outcomes that together advance Black Rock'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 Black Rock-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 a new organization within Aladdin Data: the Black Rock Data Office, focused on enabling trusted, reusable and AI-ready data across Technology & Operations.
The Black Rock Data Office will serve as the central team responsible for accelerating how data is onboarded, governed, managed and consumed through the firm's Data Marketplace. xgikmsk Working with domain teams, engineers, product teams and business stakeholders, the team will establish scalable stewardship, governance and data product practices that allow data to be managed as a strategic enterprise asset.
We are seeking a Director, Data Stewardship to play a critical leadership role in establishing and scaling data steward
Please click on the apply button to read the full job description
Director - Data Stewardship in Gloucester employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Director - Data Stewardship in Gloucester
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hackajob.
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We think you need these skills to ace Director - Data Stewardship in Gloucester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Hackajob, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hackajob. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hackajob
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hackajob!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
