Data Management Team Lead
2 weeks ago
We are seeking a highly skilled and experienced Data Management Team Leader to join our team at Preqin in Bengaluru. This is a leadership role that will form a core part of the Data Management team.
Key Responsibilities- Data Quality Assurance: Ensure Preqin's data collected by the team is of high quality, meets client expectations, and is world-class in terms of its breadth and depth.
- Operational Excellence: Manage day-to-day data operations with an aim to create and further operational excellence.
- Business Optimization: Create business optimization opportunities through understanding data workflows.
- Team Leadership: 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.
- Vendor Management: Manage vendor operations for the dataset, including training and performance management.
- Data Quality Remediation: Drive data quality (DQ) remediation initiatives by conducting root cause analysis and impact assessment of changes when there are data quality problems.
- Incident Resolution: Troubleshoot escalated data quality incidents, collaborating with regional stakeholders and/or global BUs as needed.
- KPI Reporting: Assist in the communication of KPI reporting requirements for the team to relevant stakeholders, ensuring reporting processes, including automated solutions, are accurate and updated in a timely manner when development is required.
- Innovation: Create and implement data-driven innovation (adhoc projects) of products and processes to ensure the accuracy, completeness, and timeliness of the dataset remain best-in-class.
- Data Governance: Adhere to, and promote, the business definitions and document transformations of data through data flows.
- Performance Analysis: Create management reports on the overall performance of the underlying teams.
- Data Sourcing: Understand the impact and relevancy of data sources and data collection processes available in the industry with an aim to improve core data offerings.
- Cross-Functional Collaboration: Collaborate across sub-functional teams to identify further opportunities to improve the core tenet of data services.
- Subject Matter Expertise: Demonstrate subject matter expert (SME) for the dataset, supporting internal (including sales teams) and external (including clients) stakeholders in gaining an understanding of internal processes concerning data management.
- Leadership Experience: At least 3-6 years of relevant working experience in financial data services/alternative assets, with additional 1-2 years of leadership experience in a people management role.
- Management Skills: Prior management and leadership experience is key for the role.
- Relevant Experience: Relevant experience supporting a senior manager is a must.
- Operational Management: Proven track record of excellent operational management abilities, exhibiting persistence, patience, and a keen eye for detail within a well-respected data company.
- Performance Metrics: Experience introducing and tracking Key Performance Indicators and other performance metrics.
- Leadership Qualities: Hands-on, motivational, and entrepreneurial leader with the demonstrated professionalism to lead the team.
- Collaboration Skills: Prior experience in collaborating across functions to execute on requirements is a must.
- Time Management: Ability and enthusiasm to work as part of a team and independently to achieve business and individual goals.
- Analytical Skills: Proactive approach to identifying and investigating anomalies, as well as a desire to develop and rationalize solutions.
- Project Management: Proven Project Management skills, including workflow design.
- Communication Skills: Strong time management and prioritization skills.
- Demonstrated Communications Skills: Demonstrated communications skills with experience working with high-level executives.
- Languages: Business fluency in English is required.
- Education: Education level – Bachelor's Degree.
- Business Intelligence Systems: Knowledge of business intelligence systems such as QlikSense/Tableau/Power BI, etc., as a consumer to direct teams on valuable reports is a must.
Preqin offers a competitive salary of ₹40,00,000 - ₹60,00,000 per annum, based on experience, plus benefits including health insurance, retirement plan, and paid time off. We also offer opportunities for career growth and professional development.
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