FTI Lead System Analyst

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

The Enterprise Product Master Data team within Enterprise Data Analytics delivers a single, governed view of product data across the organization. By ensuring product master data is accurate, consistent, and trusted across systems, the team enables better reporting, stronger finance and distribution alignment, and more reliable product insights for business partners.

As a Lead Systems Analyst, you will help drive requirements, solution design, and end-to-end delivery for enterprise product master data initiatives. This role serves as a key connection point between business stakeholders and technology teams, translating complex data needs into scalable, governed solutions aligned with enterprise data strategy. You will work closely with data engineering, application development, architecture, and stakeholders across Finance, Investment, Sales, Product, and Distribution to solve complex data challenges, improve data quality and usability, and support enterprise-scale data solutions.

• Lead requirements gathering, analysis, and solution design for enterprise product master data initiatives across systems.
• Drive end-to-end delivery of data initiatives, including planning, coordination, and execution across cross-functional teams.
• Define and manage data mappings, data flows, transformation rules, and integration patterns across source and target systems.
• Identify and document business processes, workflows, and data dependencies to ensure scalable and consistent data solutions.
• Drive data governance practices by defining standards, ensuring data quality, and aligning with enterprise data policies.
• Partner with business stakeholders to identify data owners and data stewards and establish clear accountability for data domains.
• Collaborate with data engineers, architects, and application teams to deliver scalable, high-quality data solutions.
• Perform root cause analysis on complex data issues and drive resolution across upstream and downstream systems.
• Mentor junior analysts and contribute to continuous improvement of analysis frameworks, governance practices, and documentation standards.

• We expect the candidate to apply an AI-first mindset in analysis, design, and decision-making.
• Use AI tools to accelerate requirements analysis, documentation, and solution exploration.
• Leverage AI for data analysis, pattern recognition, and problem solving.
• Apply structured prompting techniques for complex, multi-step problems.
• Ensure AI-assisted outputs are validated and reliable before use in production contexts.

• Bachelor's degree in Computer Science, Engineering, or related field.
• Extensive experience (10+ years) in systems analysis, data analysis, or master data management roles.
• Ability to design scalable data solutions and lead complex data initiatives.
• Domain Expertise:
  Strong understanding of enterprise product data domains and data governance practices.
• Leadership:
  Proven ability to lead initiatives, mentor team members, and influence cross-functional teams.
• G…