Vice President, Company Intelligence Data
BlackRockBengaluru, IndiaPosted 2 April 2026
Job Description
About this role
This role sits within Preqin, a part of BlackRock . Preqin plays a key role in how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.
You will be joining the world’s leading data and insights provider for the alternatives assets industry. We empower the finance community with comprehensive data and expert insights so they can make faster and smarter investment decisions with precision and confidence. We are a forward-thinking company and strive to make an impact by enabling our customers to envision future possibilities, invest in ideas and infrastructure that build strong communities.
The Team
Data is core to Preqin’s offerings. The Company Intelligence data team thrives in delivering accurate, timely and complete Company and Deals data to our clients.
Besides collecting content, the Company Intelligence data team collaborates extensively with our internal and external clients to improvise our offerings by bringing to bear technology, AI and domain expertise in our Operations.
Role Overview
This is a leadership role in our Company Intelligence Team in Bengaluru, India. This role will be responsible for aiding in the future growth and the development of the team’s internal and external deliverables, assisting with the ongoing development of the team members, leading internal workstreams and working with Senior Stakeholders.
This is achieved through operational excellence and clear day-to-day maintenance of the dataset & content, including core business-as-usual tasks, going above and beyond to collaborate, innovate and execute relevant ad-hoc projects to improve the accuracy, completeness and timeliness of data.
The individual is also responsible for people management to create a high-performing team and to develop leaders. Collaboration with the Product and Technology teams will be key to achieving and exceeding the objectives.
Responsibilities
Ensure the data collected by the team is of high quality, meets client expectations and is world class in terms of its breadth and depth
Managing day to day data operations with an aim to create and further operational excellence
Creating business optimization opportunities through understanding data workflows and bettering the same
Lead the day-to-day development of the team, ensuring that training is well-executed, protocols are followed, and the team remains engaged and motivated
Drive data quality (DQ) remediation initiatives by conducting root cause analysis, timely feedback and impact assessment of changes when there are data quality problems
Troubleshoot advanced data quality incidents, collaborating with regional collaborators and/or global BUs as needed and represent and own data to our clients.
Leverage AI to deliver the process simplification.
Create and implement data driven innovation (adhoc projects) of products and processes
Collaborate across department levels to identify further opportunities to improve data services
Demonstrate authority for the dataset and support internal and external collaborators
Hiring and performance management of the team.
Uphold and encourage adoption of Company values and policies
Key Requirements
At least 10 years of relevant experience in data or financial data services
Demonstrated ability to acquire domain knowledge relevant to data and financial markets
Minimum experience of 2 to 3 years in leading leaders and managing large operations
Understanding the data lifecycle management from acquisition to data publishing
Proven track record in performance management and team leadership
Strong operational management ensuring productivity and quality standards
Project management of data initiatives aligned to business strategy
Strong communication skills highlighting risks and dependencies
Business fluency in English
Bachelor’s degree or equivalent experience ... (truncated, view full listing at source)
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