Senior Business Systems Analyst : Remote

Senior Business Systems Analyst
Remote
CTS/Optum

Rate: $50/hr C2C

Role Overview
The Senior Business Systems Analyst plays a critical customer‑facing role focused on enabling successful transitions from Legacy MFT Platform to A New Modern MFT Platform, Optum’s next‑generation enterprise configuration and file‑transfer platform. This role acts as a trusted advisor to customers and internal stakeholders by translating legacy configurations into A New Modern MFT Platform‑ready designs that achieve equivalent business outcomes.
Role is focused on requirements, configuration, validation, and documentation rather than software development.

Required Qualifications:
• Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience
• 8–10 years of experience in business systems analysis, platform implementations, customer onboarding, integrations, or configuration‑heavy environments
• Demonstrated experience supporting file‑transfer or integration platforms
• Proven ability to work directly with customers in complex, enterprise environments
• Experience supporting system migrations or large‑scale customer transitions (preferred)
• Strong organizational skills with the ability to manage multiple parallel efforts and drive work to completion
• Excellent written and verbal communication skills in customer‑facing contexts

Required AI Skills:
– All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.
– Experience or exposure to AI-driven data analytics to support insights, validation, and decision-making
– Understanding of system integrations and end-to-end workflows, including how managed file transfers interact with upstream and downstream applications
• Advanced requirements elicitation, analysis, and documentation
• Strong understanding of managed file‑transfer concepts (e.g., SFTP/FTPS, authentication, routing, scheduling, monitoring, retries, error handling)
• Ability to analyze legacy system configurations and translate them into future‑state designs
• Experience creating configuration mappings, intake templates, checklists, runbooks, and customer‑facing documentation
• Strong customer‑facing communication skills with the ability to explain technical concepts in non‑technical terms
• Analytical problem‑solving skills with attention to detail and data accuracy
• Ability to manage ambiguity and drive clarity across cross‑functional teams
• Collaborative approach with the ability to influence without direct authority
• SQL or scripting skills for validation or troubleshooting (preferred)

Delivery Leadership & Execution
• Lead the end to end delivery of complex technology projects and programs spanning multiple platforms and teams.
• Develop and manage integrated delivery plans, including milestones, dependencies, timelines, and success metrics.
• Select and tailor delivery methodologies (Agile, Scrum, Waterfall, Hybrid) based on initiative needs.
• Proactively identify risks, dependencies, and constraints; implement mitigation strategies to protect outcomes.
• Drive resolution of complex delivery challenges, serving as an escalation point when needed.
Risk, Issue, and Decision Management
• Anticipate delivery risks using experience, data, and pattern recognition rather than reacting after impact.
• Assess probability, severity, and business impact of risks and issues.
• Own mitigation plans and align cross functional teams to execute them.
• Escalate with clear options, trade offs, and recommendations to support timely decisions.
Stakeholder Engagement & Communication
• Act as a primary delivery partner to business, product, engineering, and leadership stakeholders.
• Translate complex technical and delivery concepts into clear, actionable communication for diverse audiences.
• Facilitate decision making across teams with competing priorities.
• Build trusted relationships and drive progress through influence rather than authority.
Quality, Security, and Customer Focus
• Champion quality and continuous improvement throughout the delivery lifecycle.
• Proactively identify and address security, compliance, and operational considerations.
• Balance customer experience, business impact, and delivery efficiency in decision making.
• Keep teams focused on outcomes and value delivery rather than task completion.

Required
• Bachelor’s degree (or equivalent practical experience).
• Significant experience leading complex technology projects or programs in enterprise environments.
• Proven success delivering high visibility or high risk initiatives with minimal oversight.
• Strong command of Agile, Waterfall, and Hybrid delivery methodologies.
• Experience managing delivery across multiple teams, platforms, or systems.
• Excellent communication, stakeholder management, and influencing skills.
Preferred
• Strong analytical and problem solving skills, with comfort operating in ambiguous environments.
• Demonstrated ability to anticipate problems, drive clarity, and stabilize complex initiatives.
• PMI Project Management Professional (PMP) or similar certification

Required AI Skills:
– All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.