Assistant Manager

Job Description

Responsibilities & Impact: In this leadership role, you will play a crucial part in advancing the team's objectives by overseeing both internal and external services, supporting team leaders and members, and ensuring operational excellence in maintaining datasets and content. This position offers the opportunity to lead a team of highly motivated individuals and contribute to achieving the teams goals. You will lead efforts to improve data accuracy, completeness, and timeliness through collaboration, innovation, and the execution of ad-hoc projects, with a focus on acquiring and collecting public and private data. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities: Develop Data-Driven Strategies: Formulate and implement data-driven strategies that balance technical and product knowledge, collaborating with multiple teams to create best-in-class private markets solutions. Lead Data Quality Projects: Oversee and implement data quality projects that align with evolving business priorities, ensuring high standards of data integrity. Identify and Develop New Datasets: Identify opportunities for new datasets within the market landscape and support the development of strategies to incorporate them into existing frameworks. Foster a People-First Mindset: Demonstrate empathy and support team members, especially during challenging times, promoting a culture of well-being and collaboration. Motivate and Mentor Team: Encourage team motivation, facilitate career progression discussions, and execute succession planning to nurture talent within the team. Develop Technical Acumen: Enhance the technical skills of the team, preparing them for future growth and evolving industry demands. Set SMART Objectives: Establish SMART objectives for team members, actively manage performance, and communicate the Pay for Performance culture and its linkage to rewards. Monitor Team Performance: Track and communicate team performance metrics, including time utilization and quality statistics, while setting challenging benchmarks for resource efficiency. Mentorship: Mentor the team on industry trends and large-scale data projects, providing guidance on business initiatives. Project Execution: Manage short-term and long-term projects from resource planning to execution, collaborating closely with the Data Management team to ensure alignment and effectiveness. Stakeholder Management: Drive constructive conversations with the leadership team and stakeholders across various locations, ensuring alignment on goals and expectations. Promote Innovation through Lean & Automation: Advocate for a culture of innovation by understanding processes and workflows, generating ideas to eliminate content gaps and establish best practices. Foster a lean mindset to improve operational efficiency. Timely Execution: Ensure all critical timelines and requirements for business-as-usual workflows, KPIs, and projects are met, demonstrating problem-solving capabilities at all levels. Ambassador of Organizational Values: As a people leader, embody and promote the organizations values, culture, and strategic objectives, setting an example for the team. What we are looking for: Leadership Experience: Prior leadership experience in financial data services/alternative assets, with a strong focus on people management. Knowledge or experience in the alternative assets industry or financial services is preferred. Understanding of Market Dynamics: In-depth understanding of the mechanics of the private markets domain, with the ability to quantify trends impacting the industry and provide insightful analysis that can shape commercial decisions. Operational Management Skills: Proven operational management skills with a keen attention to detail, gained within a respected data company, ensuring effective oversight of data quality and performance. Performance Metrics Expertise: Experience in introducing and monitoring Key Performance Indicators (KPIs) and performance metrics, facilitating continuous improvement and accountability within the team. Feedback and Coaching Ability: Capacity to give and receive constructive feedback, providing coaching to team members to foster their professional growth and development. Exceptional Communication Skills: Exceptional oral and written communication skills, enabling clear articulation of complex data insights and fostering effective stakeholder engagement. Flexibility: Willingness to work across various shifts, including night shifts on a rotational or as-needed basis, demonstrating adaptability to meet business needs. Ethical Standards: Maintains high ethical standards both personally and professionally, ensuring transparency and integrity within the team. Team Collaboration: Strong collaboration skills with the ability to work effectively within cross-functional teams and build relationships with various stakeholders. Change Management Experience: Comfort with change management processes, adapting to evolving business needs and driving innovation within the team. Analytical Tools Proficiency: Familiarity with additional analytical tools or programming languages that enhance data analysis capabilities. Project Management Experience: Experience in managing projects from inception to completion, including the ability to prioritize tasks and manage resources effectively. Cultural Awareness: Understanding of cultural differences and the ability to navigate them effectively in a global work environment. Passion for Continuous Learning: Commitment to continuous learning and professional development in data analysis and emerging technologies. Results-Oriented Mindset: A results-oriented approach, focusing on achieving goals and delivering measurable outcomes. Preferred Qualifications: Extensive Experience: A minimum of 5 years of experience working closely with senior leaders and decision-makers, demonstrating the ability to influence and drive strategic initiatives. Relationship Building: Proven experience in establishing and nurturing trust with business heads, fostering long-lasting business relationships that benefit both the organization and stakeholders. Autonomy and Prioritization: Comfort with a high degree of autonomy, effectively managing priorities from multiple internal and external stakeholders to achieve organizational goals. Networking Skills: A demonstrated willingness and track record of building strong networks both internally and externally, enhancing collaboration and resource sharing. Technical Knowledge: Basic knowledge of SQL and Generative AI is desirable, providing a foundation for data analysis and innovative solutions. Data Visualization Proficiency: Familiarity with data visualization tools, enabling effective communication of insights through visual storytelling. Lean Methodology Certification: Possession of a Green Belt Certification and exposure to Lean concepts, indicating a commitment to process improvement and operational efficiency.