Vice President - Data Governance

BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.  

Role Brief: 

The Aladdin Data Governance Office is responsible for ensuring the data needs within BlackRock and the clients of BlackRock Solutions are fulfilled with well governed complete, accurate and timely data, along with enabling opportunities to commercialize the firm’s data.  

As a Vice President of Data Governance, you will support a growing area in a dynamic and challenging environment.   
  

Job Responsibilities: 

• Support the firmwide rollout and execution of the Critical Investment Data (CID) Governance Policy, coordinating across federated COOs, delegates, data stewards, and data product owners to ensure all businesses register, document, and govern their datasets consistently and end‑to‑end. 

• Partner with COOs, delegates, and data owners to activate BlackRock’s Data Strategy and implement governance policies, standards, and operating models with consistent adoption across the data lifecycle. 

• Build strong, influential relationships across the federated data governance network, aligning priorities, encourage knowledge sharing and driving sustained execution across the firm. 

• Run firmwide and federated data governance forums and working groups to review policy activation, dataset compliance, issues, risks, understand new platform/tool requirements, driving clear actions and accountability. 

• Support the deployment governance capabilities, data taxonomy and tools across federated groups, coordinating readiness, onboarding, training, and ongoing adoption while supporting teams in interpreting metadata and data requirements and integrating governance into their processes. 

• Facilitate cross‑business collaboration and knowledge‑sharing by supporting a data community, hosting cross-group sessions, distributing playbooks, methodologies and best practices to federated stewards and product teams. 

• Guide federated groups in data profiling, dataset creation, metadata documentation, data quality monitoring, entitlements, and issue management, helping them apply data governance standards and controls.  

• Collect, synthesize, and report governance metrics across federated organizations, providing transparency to senior leadership on adoption, progress, gaps, and areas requiring escalation. 

• Develop and deliver training and education programs for federated stewards, COOs, product owners, and operations teams to expand governance capabilities and reinforce core responsibilities. 

• Work with a diverse team that partners deeply with federated groups to deliver governance capabilities, elevate data quality, and drive measurable business impact. 

• This function will expose the candidate to a wide range of BlackRock Data and businesses and will require him/her to work closely with internal clients such as portfolio management, account management, operations, BlackRock Solutions as well as external providers and users of data   

Qualifications / Requirements:  

• 8–10 years of experience in data governance, enterprise data management, or enterprise technology, driving policy adoption, platform/tool rollout, or large‑scale data initiatives. 

• Strong communication, facilitation, and relationship‑building skills, including leading cross‑functional forums, resolving issues across teams, driving clarity, accountability, and alignment in a federated environment, and a passion for data and data governance.  

• Deep experience driving enterprise‑scale data governance execution, including policy activation, federated operating models, and end‑to‑end dataset lifecycle governance (registration, metadata, quality, entitlements, issue management). 

• Proven ability to influence and partner with senior stakeholders (COOs, delegates, product owners, data stewards, engineering/operations) to drive consistent adoption of governance standards across diverse businesses. 

• Good understanding of financial markets, investment workflows, and the data that powers them, with familiarity across instruments, entities/issuer master, ESG, or other investment domain datasets. 

• Hands‑on capability working with datasets across platforms (SQL/Python required) and data governance tools, including ability to interpret metadata, assess controls, review profiling results, and translate business needs into clear data specifications. 

• Demonstrated experience owning or implementing data policies, standards, taxonomies, and controls, with a strong grasp of how governance requirements integrate into business and operational processes. 

• Experience rolling out data tools, capabilities, or platforms at scale, including readiness assessments, onboarding, training, and driving sustained adoption across federated groups. Experience with Snowflake/cloud data ecosystems is a plus. 

• Ability to synthesize governance metrics and insights, highlight adoption progress, identify gaps, and create clear, executive‑ready reporting for senior leadership. 

•  Strong problem‑solving skills with the ability to connect technical, operational, and business considerations, think critically about complex challenges, and develop practical, scalable solutions. 

•  Experience with large‑scale data programs in data governance, data management, or related disciplines, ideally spanning multiple asset classes or investment processes. 

•  Ability to work effectively in a fast‑paced, high‑stakes environment, balancing multiple priorities while maintaining quality, accuracy, and attention to detail. 

• Experience with Agile methodologies and data platform & tooling (SQL, Python, Jupyter, Sybase, Snowflake, Hadoop/Spark SQL, BI tools such as PowerBI/Tableau) is desirable. 

• Bachelor’s degree or equivalent experience in data management, information systems, or a related field.