Manager, AI Product and Data Architecture

Job Purpose

This role at Arbitration Forums is unique and rewarding due to the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). The AI Product and Data Architecture Manager is responsible for understanding the opportunities brought by emerging technologies and Artificial Intelligence to the end-to-end insurance Claims process.

Essential Duties and Responsibilities

• Partner with stakeholders to define strategies for the definition of configurable and interoperable AI products.
• Collaborate with AF’s stakeholders and IT to re-engineer the high-value functionality of current products and move it from on-prem to cloud.
• Works with IT in the development of strategies and roadmaps to sunset, refactor, or redefine current functionality in new AI-based architectures on cloud or hybrid environments.
• Define best practices for the generation and maintenance of functional roadmaps for AI solutions that prioritize the highest value items while removing technical debt.
• Partner with stakeholders to generate strategies for embedding AI solutions into business processes and applications, with a focus on progressive functionality deployment and modularization.
• Manage the orchestration of activities to ensure alignment of AI product architecture, software engineering and implementation across the AI product lifecycle.
• Create, socialize, and manage AI integration architectures, providing AI-powered functionality with a high level of interoperability, configurability, and modularization.
• Engage with partners to define marketplace deployment models, ensuring accessibility and integration with existing ecosystems.
• Collaborate with Customer Success and Product Implementation and Adoption teams to define and orchestrate strategies for the success of implementations in our members, including reviewing solution paths and roadmaps.
• Works closely with software engineers, AI and data engineers, product managers, and other stakeholders to understand requirements and define scalable APIs that meet user needs and business objectives.
• Collaborates with IT to define and execute strategies for production deployment of solutions, ensuring that solutions can be deployed in the preferred way of our members.
• Define, manage, and improve the AI product architecture lifecycle end-to-end and represent it in roadmaps and collateral materials.
• Enable the identification and prioritization of AI-powered use cases to ensure integration and deployment requirements are considered.
• Partner with AI QA Engineers and IT QA Testers to ensure that the AI product testing practice is efficient, cost-effective, and automated.
• Define and manage feedback loops to understand the impact that AI-based functionality has on our members and end users and socialize the information across AF.
• Define and maintain data reference architectures and models that support AF’s needs in the areas of advanced analytics, AI, and data products.
• Ensure that data architectures abide by interoperability requirements and allow the integrity of the data continuum.
• Partner with Advanced Analytics, Data Governance, and IT to implement data security protocols in compliance with security and regulatory requirements.

Qualifications

• More than 10 years of experience in operationalization of AI models and integration with business processes and applications.
• More than 8 years of experience in product architecture, product management, and systems interoperability.
• Domain and industry knowledge, with deep understanding of how Insurance companies and Claims Management divisions work.
• Experience with technology-driven transformations and end-to-end AI solutions lifecycle.
• Deep understanding of machine learning/AI principles and concepts, and how AI solutions integrate with existing business processes or applications.
• Proficiency in the definition and implementation of prioritization frameworks.
• Expertise in cloud application solutions, API design and management, and marketplace business and deployment models.
• Functional knowledge of composable products with a high level of configurability.
• Working knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirements.
• Proficiency in the operations of a not-for-profit organization.
• Knowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approach.
• Technical Skills - Working knowledge of cloud services (MS Azure, AWS) and data platforms (Snowflake, Databricks); experience with AI tools (MS Azure AI Foundry and ML Studio, Snowflake Cortex AI, Dataiku); proficiency in programming languages such as Python, R, or SQL; experience designing integrations using tools such as MS Azure API Management, Boomi, MuleSoft, and Apigee.
• Leadership - Establish goals for the AI Product and Data Architecture team and its members, and clearly articulate performance objectives; communicate clearly and directly; delegate effectively, mentoring, and coaching team members to enable their success; live AF’s values and behaviors, holding team members accountable for conducting themselves within the behaviors of the organization; conduct frequent performance conversations with team members, helping with corrective actions when needed; establish engagement models to effectively interact and drive accountability for team members across AF.