System Analyst

Client Industry: Leading Financial Services & Insurance Provider Employment Type: Full-Time, Permanent Our client, a premier name in the global financial services sector known for its long-standing stability and ethical leadership, is seeking a high-level Lead Systems Analyst to drive their Enterprise Automation strategy. This is not a "heads-down" coding role; we are looking for a strategic thinker who can bridge the gap between complex business challenges and cutting-edge technical solutions. You will act as a consultant and Subject Matter Expert (SME), guiding the organization on how to leverage RPA and AI to scale operations and reduce risk. The Role Scope: Strategic Advisory: Act as a trusted advisor to senior leadership and product owners to define automation roadmaps and prioritize high-impact investments. End-to-End Analysis: Lead deep-dive assessments of cross-functional workflows to determine feasibility, ROI, and the best technical approach (RPA, AI, or Process Re-engineering). Solution Architecture: Translate vague business problems into structured technical requirements, use cases, and process maps. Process Excellence: Continually refine the enterprise intake and governance frameworks to ensure the automation lifecycle is lean and effective. Mentorship: Serve as a functional lead, upskilling junior analysts and setting the standard for documentation and process mapping (Visio/Lucidchart). Requirements: Education: Bachelor’s degree in Computer Science, Systems Engineering, or a related technical field. Experience: At least 8+ years in Digital Transformation, Business Analysis, or Process Improvement. Technical Depth: A minimum of 5 years of hands‑on experience with Enterprise RPA platforms (ideally UiPath, though similar platforms will be considered). Domain Expertise: Proven track record within a highly regulated environment such as Insurance or Financial Services. Innovation: Demonstrated experience delivering projects that integrate AI/Machine Learning with traditional automation. Communication: Exceptional executive-level presentation skills with the ability to influence stakeholders across different business units. Why Join This Team? This organization is recognized for its commitment to employee growth and corporate responsibility. You will join a sophisticated Data Science and AI Engineering ecosystem that values ethics as much as innovation. Culture of Inclusion: Access to diverse Business Resource Groups (BRGs) supporting a wide range of communities (Veteran, LGBTQ+, Women in Tech, etc.). Professional Development: Dedicated mentorship, specialized training via platforms like Degreed, and regular 1-on-1s focused on your career trajectory. Stability: Working for a firm with industry-leading pay, comprehensive benefits, and a reputation for long-term financial strength. #J-18808-Ljbffr