Olu Adun

About Olu Adun

I’m a hands-on product and delivery professional who uses data, structured thinking, and close collaboration with engineering to solve real problems and move work forward. I work across product, business analysis, and execution. A lot of my time goes into SQL, dashboards, requirements, and user workflows—figuring out where people get stuck, what’s driving behavior, and what needs to change. Then I turn that into clear, scoped work and help teams deliver it. In my current role, I’ve improved product adoption by 17–22% and increased workflow efficiency by 15–24% by identifying friction points, testing changes, and iterating based on real usage data. I do my best work in environments with ambiguity, real constraints, and teams that need clarity without extra noise. I’m comfortable working from discovery through delivery—gathering requirements, refining workflows, partnering with engineering, supporting Agile execution, and helping teams ship work that is useful and used. Before this, I worked in insurance and enterprise environments, where I built a strong approach to problem-solving, stakeholder alignment, and data-informed decisions, including work that delivered over $1M in cost savings. What I’m particularly interested in now are roles where I can- Work closely with data, stakeholders, and cross-functional teams - Bring clarity to complex problems and turn them into actionable work - Improve workflows, delivery, and user outcomes - Contribute to products and systems that have real impactCore Competencies:• Business Analytics• Stakeholder Management & Negotiation• Problem Solving | Conflict Resolution• Claude (Anthropic)• Prompt Engineering• PLM (Product Lifecycle Management)• Backlog Prioritization• User Acceptance Testing (UAT)• Test Case Scenarios• Data Unification & KPI Tracking• Release Planning• Business Process Mapping (BPMN)• Requirements Traceability Matrix (RTM)Tech Stack:• Tools & Platforms: Slack, Jira, Azure DevOps, Confluence, Teams, Productboard• Data & Reporting: Python (Basics), SQL, ServiceNow, Power BI, Tableau, Tableau Prep, Excel• Diagramming & Modeling: BPMN 2.0, Visio, Lucidchart, Balsamiq, Figma, Miro, Draw.io• Testing & QA: UAT, Test Case Development, TFS, API Testing• Methodologies: Agile, Scrum, SAFe, Waterfall, Kanban, CI/CD, Lean Six SigmaRecent Highlights:• Led end-to-end delivery for multi-million-dollar initiatives tied to long-term business goals.• Trusted partner across stakeholders throughout the SDLC.• Mentored junior PMs and supported Waterfall-to-Agile transition efforts.

Experience

1. Product Manager

   Ochsner Health

   May 2022 — Present · Baton Rouge, LA, US

   Direct the go-to-market strategy for AI-powered clinical assistants by identifying high-volume provider segments, conducting user feedback sessions, and refining feature sets, resulting in a 30% reduction in clinical paperwork. • Boost digital and AI product adoption by 17% across web and mobile, by aligning teams under a single roadmap and using A/B testing to ensure product features actually solve customer pain points. • Improve stakeholder visibility into product release health and roadmap delivery by driving enterprise adoption of Jira and Confluence to establish real-time dashboards and automated milestone tracking. • Eliminate project waste and reduced development rework by 18%, through facilitating discovery workshops with clinical and technical stakeholders, to clarify scope and prioritize the backlog based on ROI and HEDIS quality goals. • Build data-driven business cases for agentic AI workflows and partner with data scientists to deploy autonomous fraud detection bots, delivering over $1.3M in annual savings while reducing manual review cycles to under 2 hours. • Lift team velocity 14% and maintain a 96% sprint completion rate by owning the end-to-end product delivery in Agile Scrum environments, crafting 175+ user stories with high-integrity acceptance criteria, facilitating ceremonies and managing complex cross-functional dependencies. • Secure 100% regulatory compliance for all patient-facing applications during the 2026 HIPAA-2 privacy mandate transition by partnering with Legal and IT to audit security policies and implement technical data controls. • Target high-risk member segments via RICE frameworks and competitive benchmarking to launch predictive AI retention models, reducing enterprise churn by 18%. • Increase utilization management report accuracy using MS SQL and Tableau data cleaning protocols, that validates high-volume clinical datasets for executive audits and operational decisions.

Education

• Louisiana State University

  Master of Science, Industrial & Systems Engineering

• University of Ibadan

  Bachelor of Science, Civil Engineering

• University of Ibadan

  Bachelor's degree, Civil Engineering

• Louisiana State University

  Master's degree, Industrial Engineering