Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Business Analyst on our AI & Automation team, you'll work closely with product managers, engineers, and business stakeholders to identify opportunities for intelligent automation and data-driven decision-making. You'll play a key role in enabling scalable, efficient integration across newly acquired entities and core enterprise systems.
Primary Responsibilities:
- Collaborate with stakeholders to gather and refine requirements for AI, ML, and automation solutions supporting M&A integration and enterprise transformation
- Translate business needs into clear user stories, process flows, and solution designs that align with automation and intelligent system capabilities
- Conduct feasibility analysis and identify automation candidates across business processes, systems, and data workflows
- Partner with engineering and data science teams to support model development, automation scripts, and platform configuration
- Facilitate agile ceremonies and ensure backlog items are well-defined, prioritized, and aligned with strategic goals
- Lead UAT planning and execution for AI-driven features and automation workflows
- Monitor solution performance post-deployment and recommend enhancements based on user feedback and analytics
- Support change management efforts including training, documentation, and stakeholder engagement
- Contribute to M&A playbooks and reusable frameworks for automation and integration
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor's degree or equivalent experience in Business Analysis, Information Systems, or related field
- 4+ years of professional experience in business analysis, including requirements gathering, process modeling, and stakeholder management
- 2+ years of experience working in Agile environments, using tools like Jira, Rally, or Swift Kanban
- 2+ years of experience analyzing and documenting enterprise systems and business workflows, with an understanding of data flows and process dependencies, preferably in M&A contexts
- 1+ years of experience collaborating on automation or AI/ML initiatives, such as defining business requirements, mapping processes for automation, or supporting implementation of intelligent workflows
- 1+ years of experience with automation platforms (e.g., UiPath, Power Automate, ServiceNow workflows) and familiarity with AI/ML concepts
- 1+ years of experience using wireframing/prototyping tools (e.g., Figma, Balsamiq, Sketch)
- Proven excellent communication skills with the ability to bridge technical and non-technical teams
Preferred Qualifications:
- 2+ years of proficiency with Microsoft Office Suite and data visualization tools (e.g., Power BI, Tableau)
- 1+ years of experience supporting M&A integration teams, delivering application solutions that streamline workflows and enhance project execution
- Exposure to AI/ML lifecycle including data preparation, model deployment, and monitoring
- Background in healthcare or other regulated industries
- Proven solid analytical and problem-solving skills with a focus on scalable, sustainable solutions
