Data Stewardship , Aladdin Data - Associate

BlackRock is seeking a highly skilled and motivated Associate to support its growing and dynamic data stewardship function. In this role, you will be responsible for ensuring that data products are accurately defined, compliant with data governance policies, and delivered effectively to meet business needs. You will work closely with cross-functional teams—including business stakeholders, technical teams, and external vendors—to manage the full lifecycle of data products from ideation to delivery. The ideal candidate will have at least 4 years of experience in data stewardship, data governance, and data modeling, and will thrive in a fast-paced, results-driven environment. Key Responsibilities: As an Associate Data Steward, your responsibilities will span several key areas: Business & Strategic Acumen: You will collaborate closely with business units to understand evolving data requirements and align data products to meet strategic goals and objectives. You will ensure that data products support various use cases, such as operational efficiencies, risk management, and commercial applications, while defining success criteria for data offerings in collaboration with key stakeholders. Data Governance & Quality: A core aspect of this role is managing data quality through the application of robust data governance controls. You will be responsible for monitoring data health, implementing data quality metrics, and ensuring that data products meet established standards for accuracy, completeness, and consistency. Regular assessments of data sources and processes will be part of your ongoing responsibilities to identify deficiencies and opportunities for improvement. Data Product Lifecycle Management: You will support the full delivery lifecycle of data products, from ideation to release. This includes working with cross-functional teams—such as product managers, engineers, and business stakeholders—to plan, design, and deliver data products. In addition, you will contribute to the design and creation of conceptual, logical, and physical data models to ensure that data products meet business requirements. Requirements Gathering & Documentation: You will be actively involved in gathering, defining, and documenting business requirements for data products. This includes translating business needs into detailed data requirements and user stories for development teams. You will work to break down complex data problems into manageable tasks, ensuring alignment between technical and business requirements. Testing & Quality Assurance: During the testing phase of data product development, you will collaborate with engineering and quality assurance teams to validate that data is accurately extracted, transformed, and loaded. Ensuring that data governance controls are applied during testing is also part of your role, and you will help resolve any issues that arise. Vendor & Stakeholder Management: You will manage relationships with external data vendors to ensure that data feeds meet business requirements and quality standards. Additionally, you will work with both internal and external stakeholders to ensure that data products align with organizational goals and address customer needs. Regular engagement with stakeholders will be key to soliciting feedback on data products and identifying opportunities for enhancement. Data Stewardship Support: In addition to data management, you will provide Level 3 support for complex data-related inquiries and issues. You will proactively identify data challenges and offer data-driven solutions to meet business objectives. You will also participate in data governance initiatives, helping to define and implement best practices for data stewardship across the organization. Collaboration & Communication: You will communicate effectively with both technical and non-technical teams, ensuring that complex data concepts are conveyed clearly. Your collaboration with internal and external teams will ensure that data solutions align with business goals and industry best practices. You will be expected to work in an agile environment, managing multiple priorities to ensure efficient and timely data product delivery.

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