Trustmark aims to improve wellbeing for everyone by leveraging AI to transform its operations and offerings, ensuring alignment with business priorities and measurable ROI.
Requirements
- Bachelor's degree in computer science or related field
- Minimum 4-6 years of experience in Product Management, building complex software and technology products at scale
- Demonstrated ability to manage technology product lifecycle from concept to delivery and scaling
- Experience leveraging quantitative and qualitative data to inform design decisions and drive change
- Proven experience in building AI/ML technologies, AI framework, chat and voice generative applications, and expertise in various LLM/ML models
- Deep understanding of modern AI/ML architecture, cloud platforms, and AI technology platforms
- Strong expertise in deploying optimized performance tested scalable AI/ML solutions
Responsibilities
- Responsible for scaling AI use cases to end-to-end AI products— from ideation, road mapping and prototyping to deployment and scaling into robust AI applications across enterprise
- AI/ML Portfolio Management: Collaborate with internal stakeholders and external partners to identify AI opportunities, oversee the AI/ML project portfolio, ensuring alignment with business priorities and showcasing measurable business value & ROI
- AI Products Oversight: Day-to-day oversight and management of AI build teams/PODS, AI backlog tracking, prioritize AI features, product release planning, continuously monitor key success criteria by aligning with business objectives
- Product Delivery & Adoption: Work closely with other IT teams and partners to develop, test, and iterate on AI products. Ensure timely delivery of high-quality products that meet market needs and drive business results
- AI Impact Measurement: Define and monitor key performance indicators (KPIs) to measure the success of AI products and initiatives. Continuously analyze product performance and user feedback, making data-driven adjustments to improve outcomes
- AI Trends: Conduct thorough market research and competitive analysis to stay ahead of industry & technology trends and inform AI product decisions
Other
- Outstanding collaboration, communication, and interpersonal skills with ability to influence at all levels
- Ability to present complex technical concepts to non-technical audience
- Experience in deploying AI/ML applications in life insurance or voluntary benefits organizations
- Proficient in Python, SQL, Spark, and cloud platforms (preferably in Azure or Databricks)
- Experience in identifying core insurance workflows and applying process redesign approaches for maximizing AI value through process transformation
