Thrivent is looking to solve enterprise-level problems using AI and ML capabilities by creating meaningful, intuitive AI-driven experiences for their customers. The role aims to build foundational skills in product ownership and AI product delivery by managing AI-driven products with focused scope and limited impact.
Requirements
- Demonstrated expertise in AI-driven product ownership, including experience with machine learning, generative AI, recommendation systems, and AI/ML lifecycle management.
- Deep analytical acumen and experience translating data insights into business value, with a background in business intelligence, data science, or advanced analytics.
- Strong understanding of AI/ML fundamentals, including model governance, model monitoring, bias mitigation, explainability, and MLOps practices.
- Proven experience in project planning, execution, and cross-functional collaboration, ensuring AI/ML initiatives are successfully developed, deployed, and iterated upon.
- Passion and understanding for emerging AI technologies and ability to stay ahead of industry trends to drive AI innovation within product.
- Advanced Data Analytics & Business Intelligence – Proficiency in tools like SQL, Python, Tableau, Power BI, or similar to extract insights and inform AI-driven product decisions.
- AI/ML Experience familiarity – While not expected to develop models, familiarity with AI/ML workflows, model deployment tools (e.g., Databricks, SageMaker, TensorFlow), and experimentation platforms is a plus.
Responsibilities
- Works as a key team member on a cross-functional team, responsible for continuous delivery of value to the customer through compelling and empowering customer experiences leveraging machine learning, data science, and generative AI.
- Continuously innovates and evolves the AI-driven product in alignment with strategic priorities. Is responsible for creating, maintaining, and evolving the AI product roadmap.
- Maintain and refine product backlog: Create user stories and acceptance criteria and prioritize all stories to ensure work focuses on those with maximum business value that align with AI product strategy.
- Ensure stories clearly communicate the customer and stakeholder needs to meet key business objectives and strategies for the AI-driven product. Is available for consultation during agile team planning and grooming sessions as needed.
- Works with other product teams/owners to align product roadmaps and sprint plans, and to focus on delivering the maximum business value to the organization leveraging AI/ML capabilities.
- Support AI product governance and compliance, ensuring that AI models are properly monitored, explainable, and compliant with ethical AI principles, model governance standards, and regulatory requirements.
- Stay at the forefront of AI industry trends, innovations, and best practices to ensure Thrivent remains competitive and leverages emerging AI/ML capabilities effectively.
Other
- Works on a cross-functional team to create meaningful, intuitive AI-driven experiences for their product’s customers.
- Owns direction-setting, discovery, and prioritization of customer wants and needs to solve enterprise-level problems at Thrivent using AI and ML capabilities.
- Highly collaborative, working closely with data science, engineering, analytics, and business partners to deliver products that leverage data science, machine learning, and generative AI capabilities.
- Articulates, translates, and executes the Product Manager’s long-term strategy and vision of the AI and ML product through tactical strategies to drive necessary business outcomes.
- Works closely with stakeholders, end users, and functional and technical team members to rapidly deliver quality, responsible AI/ML solutions to customers.
