Lead Business Analyst, Technology & Data

Job Description

The Data Platform team is committed to building a robust data ecosystem for CPP Investments. We offer comprehensive tools and services essential for creating data products within the firm. Our team develops and manages both base and composite data products that meet the needs of the enterprise as well as individual departments. These data products are designed to provide accurate, reliable, and actionable insights to support decision-making processes across various departments. We are looking for a Lead Business Analyst who brings extensive business analysis experience and, more importantly, a product mindset that delivers value to end users and drives business outcomes. This role emphasizes understanding user needs, continuous improvement, and data-driven decision-making. Accountabilities: Develop a deep understanding of customer needs and pain points, continuously improving products based on feedback and market trends, and embracing rapid experimentation to test hypotheses and encourage a culture of learning and innovation Facilitate requirements gathering sessions. Document and validate results with subject matter experts and drive the creation of strong system specifications that enable the development and/or acquisition of appropriate systems to meet business requirements Collaborate with cross-functional teams to develop and execute new data capabilities Perform analysis and transformation of various internal and external data sets Ensure data products are structured, reusable, and ready for consumption, enhancing the architecture by decoupling data from systems Work with the Product Owner on data product s strategy direction and manage the data product lifecycle Ensure compliance with CPPIB standards and make decisions about changes to data products Create a working group with data stewards and Technical Area Leads (TALs) to ensure appropriateness of access entitlement, data quality, and metadata Provide training and support to data users and track progress and KPIs 10-16 years of relevant experience with knowledge of the investment management and lifecycle for private and public investments Proven experience in data product management, data analysis, and data engineering Strong decisi