Lead two dedicated Scrum teams in successful story and backlog creation and oversee the implementation of capabilities and feature sets critical for the private markets investment lifecycle.

Drive root cause analysis and remediation for data quality issues impacting LMI's reporting dashboards, working with source system owners and developers.

Collaborate with investment professionals, data engineers, and external vendors to deliver high-value features.

Collaborate with UX/UI designers to ensure user-centered design is embedded throughout the product lifecycle.

Manage the testing and release of enhancements in collaboration with development teams.

Bachelor's degree in Finance, Economics, Computer Science, or related field; MBA or CFA a plus. 5+ years of experience in product ownership, business analysis, or reporting roles within investment management, 10+ year preferred.

Proven track record of implementing dashboard and analytics reports and/or tools for investments.

Proven track record of implementing systems, modules, tools with external vendors such as Aladdin, Deal Cloud, Moody's.

Working knowledge of institutional asset management, including portfolio construction principles, performance attribution, and investment risk measures.

Fundamental understanding of AI/ML concepts and their application in enhancing business processes, operational workflows, and investment technology solutions.

Exceptional communicator with the ability to articulate complex ideas and solutions.

Outstanding leadership skills, with the ability to influence and align cross-functional teams and reconcile diverse user needs and priorities.

Basic knowledge of the risk investment metrics and/ or compliance monitoring processes, advanced knowledge of either subject matter is preferred.

Exude entrepreneurial mindset and demonstrated behavior of extreme ownership and self-driven execution, strategic thought leadership, connecting the dots for the total portfolio management data and analytics across stakeholders, product, data and technology.

Intermediate SQL skills for performing data validation and complex data organization, inclusive of data from platforms like Aladdin, Snowflake, and WSO; advanced knowledge of SQL preferred Deep knowledge and experience with Agile frameworks and methodologies, such as Scrum or Kanban, is a plus.

Certified Scrum Product Owner (CSPO) preferred.