Integrity
Overview
Director of AI & ML at Integrity. This senior leadership role is responsible for defining and executing the enterprise-wide AI strategy, overseeing the development, integration, and scaling of AI/ML initiatives to drive operational efficiency, business innovation, and competitive advantage. Responsibilities
Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Collaborate with executive leadership to develop AI-driven business models and solutions. Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners. Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts. Foster a culture of experimentation, agility, and responsible innovation. Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively. Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Position Requirements (Knowledge, Skills, And Abilities)
10+ years of experience in data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value. Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc.), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Experience
Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance). Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices. Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows. About Integrity
Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead. We leverage predictive modeling, dynamic dashboards, next-best-action and behavior triggers, and NLP to inform decision-making and streamline processes. Integrity is headquartered in Dallas, Texas, and supports hundreds of thousands of independent agents who serve millions of clients nationwide. Visit Integrity.com for more information. Integrity, LLC
is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Reasonable accommodations are available for qualified individuals with disabilities.
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Director of AI & ML at Integrity. This senior leadership role is responsible for defining and executing the enterprise-wide AI strategy, overseeing the development, integration, and scaling of AI/ML initiatives to drive operational efficiency, business innovation, and competitive advantage. Responsibilities
Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Collaborate with executive leadership to develop AI-driven business models and solutions. Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners. Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts. Foster a culture of experimentation, agility, and responsible innovation. Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively. Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Position Requirements (Knowledge, Skills, And Abilities)
10+ years of experience in data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value. Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc.), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Experience
Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance). Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices. Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows. About Integrity
Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead. We leverage predictive modeling, dynamic dashboards, next-best-action and behavior triggers, and NLP to inform decision-making and streamline processes. Integrity is headquartered in Dallas, Texas, and supports hundreds of thousands of independent agents who serve millions of clients nationwide. Visit Integrity.com for more information. Integrity, LLC
is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Reasonable accommodations are available for qualified individuals with disabilities.
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