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Data Operations Vice President
Company | BlackRock |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-07-18 |
Posted at | 11 months ago |
R230747
- Stay abreast of new and evolving business requirements and market trends in order to align our data capabilities and content with business needs developing and continuously improving and expanding coverage of capabilities by monitoring progress through KPI’s
- Define roles and responsibilities, Establish, manage and keep current the ownership model of data at all times
- Provide data solutions, insights and expertise in response to changing business needs, market events, regulatory change and new financial products.
- Enforce data standards with businesses for each data category and help build reusable Business Glossary for each category
- Understand and build solution that supports data usage based on license and entitlements for both Blackrock and Aladdin clients for all data assets
- Build, implement and socialize processes that support Governance of data, influence teams to adopt the process and expand the depth of governance function
- Active engagement with key product partners to ensure client data experience is aligned and going above and beyond
- Data stewards are required to profile and analyze data to ensure content meets business requirements while being compliant with the various dimensions of data quality as outlined in our data quality standards.
- Design data quality checks and performance metrics to assess data health and detect deficiencies and improvement with our data sources or internal data processes.
- Lead Implementation of data governance through enterprise level Data catalogs, data entitlement frameworks and data quality tools for different data assets
- Partner with engineering on data model and testing workflows to keep metadata repository, business glossary and Quality inventory, current
- Serve as a liaison between vendors, business, and engineering team to implement the capability roadmap working closely with data customers both internally and externally.
- Manage working groups and governance forums by data category
- Experience in Agile Development preferred with knowledge of technical tools such as SQL, Python, Jupyter Notebook, basic Unix commands, SQL, Tableau etc. is a plus.
- Experience working with Snowflake on cloud is a plus
- Ability to document detailed requirements and transpose them into data specifications and translate them to technical requirements
- Candidate must have strong organizational skills and demonstrate project management experience.
- Candidate must have enthusiasm for, and comfort with, working in a high pressure and fast pace environment while maintaining quality and the integrity of investment data.
- Candidate must be able to work in both an entrepreneurial and team-oriented environment.
- Hands on ability to work with datasets on different platform/formats using SQL/Python is desired.
- Experience managing data working groups and data governance forums with business and executives a plus
- Candidate must possess and demonstrate working knowledge of financial markets and general knowledge of the entire investment landscape with solid grasp of current and future data trends and industry practices
- Candidate must have superb communication skills to enable clear articulation, interpersonal skills and influence while working with internal and external clients.
- Bachelor’s degree or equivalent experience in Master and reference data management across multiple asset classes and asset resolution
- Solid experience working with metadata catalogs and data quality framework is required
- Experience building/understanding data architecture and evaluating alternatives for scalability is a plus
- Candidate is expected to think critically about complex business challenges and possess strong problem solving skills in order to deliver multidisciplinary solutions.
- Experience working with vendors providing reference data and building and delivering productive workflows is a plus
- Minimum of 7 years of experience with large-scale data programs
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