Responsibilities
- Lead Business Analysis Initiatives: Direct and prioritize the activities of the business analysis team to ensure alignment with organizational objectives and project timelines.
- Stakeholder Engagement: Act as the primary liaison between business units, technology teams, data operations and product teams, facilitating clear communication and efficient resolution of business needs.
- Requirements Gathering & Documentation: Oversee the comprehensive collection, validation, and documentation of business and functional requirements for reference data projects.
- Data Governance & Quality: Advocate and implement reference data governance frameworks to guarantee data integrity, compliance, and consistency across platforms.
- Process Improvement: Identify inefficiencies in current data operations processes and lead cross-functional initiatives to optimize workflows and increase automation where possible.
- Project Management: Manage multiple complex projects simultaneously, ensuring timely and budget-conscious delivery of milestones and deliverables.
- Team Leadership & Development: Mentor, coach, and develop business analysts and data specialists, fostering a culture of continuous learning and high performance.
- Change Management: Lead organizational change initiatives related to data Integration, ensuring successful adoption of new processes, tools, and technologies.
- Risk Management: Proactively identify and mitigate risks related to data accuracy, accessibility, and regulatory compliance.
- Reporting & Analytics: Deliver actionable insights through the design and interpretation of management reports, dashboards, and key performance indicators (KPIs).
- Vendor & Third-Party Management: work closely with vendors and third parties on board and integrate their data on a timely and efficient basis.
Knowledge and Experience
- Education: Bachelor’s degree in business administration, Finance, Economics, Information Systems, Computer Science, or a related field. An advanced degree (MBA, MS, or equivalent) is highly desirable.
- Experience: Minimum of 8-10 years of progressive experience in business analysis, reference data management, or data operations in financial services, asset management, or a similar sector.
- Technical Expertise: Demonstrated proficiency in data management tools, SQL and data modeling. Proven experience with python on the daily work cycle to improve and automate data integration projects.
- Project Management: Proven track record managing large-scale, cross-functional data projects with multiple stakeholders and competing priorities.
- Analytical Skills: Advanced analytical and quantitative skills, with the ability to interpret complex data sets and present findings to business leaders.
- Communication: Exceptional written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences.
- Leadership: Proven ability to inspire, develop, and lead high-performing teams in a fast-paced, dynamic environment.
- Change Management: Experience implementing change and driving user adoption of new systems or processes.
- Vendor Management: Experience managing relationships with data vendors or third-party service providers.
- Tools & Platforms: Experience with data visualization tools (such as Tableau or Power BI), workflow management solutions, and enterprise data management platforms.
Preferred Knowledge and Experience
- Certifications: Professional certification in Business Analysis, Data Management, or Project Management.
- Industry Experience: Direct experience in investment banking, asset management, or securities operations.
- Technology Acumen: Experience with cloud data platforms (AWS, Azure), data lakes, and advanced analytics solutions.
Key Competencies and Attributes
- Strategic Thinking: Sees the "big picture" and translates vision into actionable business and data strategies.
- Problem Solving: Tackles complex challenges with methodical, data-driven approaches and innovative thinking.
- Attention to Detail: Ensures accuracy and thoroughness in data analysis, documentation, and process design.
- Resilience: Remains effective under pressure and adapts quickly to evolving priorities and constraints.
- Collaboration: Builds strong relationships across business and technology teams, promoting a culture of partnership and shared success.
- Ethics and Integrity: Adheres to the highest standards of professional conduct, confidentiality, and regulatory compliance.
- Customer Focus: Anticipates internal and external client needs and delivers solutions that drive business value.
