Lead, Enterprise Product Master Data & Governance

Franklin Templeton; San Ramon (CA); Hybrid; USD 135,000 - 175,000; Full time

Benefits offered by this job

Competitive total rewards

Discretionary annual bonus

401(k) with generous match

Learning and development programs

Employee stock investment plan

Job summary

Franklin Templeton is seeking a Lead Systems Analyst in California to drive requirements, solution design, and end‑to‑end delivery for enterprise product master data initiatives. You will translate complex data needs into scalable, governed solutions and partner with data engineers, architecture, and business stakeholders across Finance, Investment, Sales, Product, and Distribution.

This role emphasizes AI thinking in analysis and design, with opportunities to mentor junior analysts, improve

Qualifications

• 10+ years in systems or master data analysis, with data governance focus.
• Bachelor's degree required; advanced degree a plus.
• Experience delivering enterprise data solutions across finance domains.

Responsibilities

• Lead requirements gathering and solution design for enterprise product master data.
• Drive end‑to‑end delivery across cross‑functional teams.
• Define data mappings, data flows, and integration patterns.
• Document business processes, data dependencies, and governance standards.
• Mentor junior analysts and improve analysis frameworks.
• Partner with stakeholders across Finance, Investment, Sales, Product, and Distribution.

Skills

SQL

Data analysis

Data governance

Data modeling

Leadership

Stakeholder management

Communication

AI awareness

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

JIRA

Confluence

GoldenSource

AWS

Job description

Franklin Templeton is seeking a Lead Systems Analyst in California to drive requirements, solution design, and end‑to‑end delivery for enterprise product master data initiatives. You will translate complex data needs into scalable, governed solutions and partner with data engineers, architecture, and business stakeholders across Finance, Investment, Sales, Product, and Distribution.

This role emphasizes AI thinking in analysis and design, with opportunities to mentor junior analysts, improve