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Team Overview: BlackRock's Reporting and Regulatory Solutions team (RRS) sits within Client Experience Operations and provides a range of services, encompassing report building, preparation and distribution for BlackRock’s clients and regulators, new data and engineering solutions for reporting, and oversight & process updates for complex regulations. The Data Solutions team within RRS drives scalable data solutions for global client and regulatory reporting. The team partners across the firm and with external stakeholders to source, structure, and govern data, while implementing robust reporting and oversight controls that support the firm’s regulatory change agenda. Job Overview: We are looking for a passionate Data Solutions Team Lead VP who enjoys engineering and optimizing data sets, building robust data pipelines, and contributing to the architecture of our data infrastructure. The ideal candidate will have a good background in data engineering, experience with big data technologies, and a knack for solving complex data challenges.
Job Responsibility:
Manage the data engineering team responsible for sourcing, staging, QC-ing and distributing a wide range of data sets to our partners in the Client Reporting and Regulatory reporting functions
Build positive relationships and collaborative engagement with data source providers and reporting collaborators to maintain and improve quality and timeliness of product
Excellent risk awareness and focus on delivering an appropriate operational control framework around the work you're doing, including review and validation of monthly metrics
Create efficient data pipelines for data processing, transformation, and storage
Develop and maintain data schemas that align with business requirements to ensure data consistency and efficient querying enabling reuse
Collaborate with cross-functional teams to understand data requirements and implement solutions
Provide leadership and guidance to the technical teams, fostering a culture of innovation, collaboration, and technical excellence
Implement best practices for cloud-based data storage, security, and scalability
Generate ideas for designing and building data engineering solutions using standard frameworks
Requirements:
A minimum of 12-15 years of operational experience in serving large institutional or retail clients with good understanding of financial markets, concepts and investment management
Extensive exposure in managing multiple teams in an operational role
Demonstrate solution-based approach to solve operational challenges, with attention to detail
Excellent attention to detail and understanding of operational processes
Self-starter who enjoys a fast-paced, high-intensity environment, sets priorities and can work independently as well as with a global management team
Empathy and a unique ability to understand customer needs
passionate about customer service
Tech first mindset and curiosity
experience solving problems through technology
Experience managing people and leadership skills, with the ability to inspire and engage junior talent
prior experience building or re-vitalizing a team from the ground up is a plus
Good interpersonal and communication skills and a collaborate-first approach
Exposure and comfort with scripting, visualization tools, programming languages e.g. R, Python, SAS, VBA and SQL, is desirable
B. Tech (Computer Science) or equivalent degree preferred
Experience in leading projects (local or global), stakeholder management, working with competing priorities
5+ Years of Experience with any programming languages, preferably SQL and Python
Knowledge of SQL and performance tuning
Experience with Snowflake is must
Flexibility and ability to adapt to new technologies
Demonstrated experience working effectively within a collaborative team environment