About UsIntegrity 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! With billions in funding from HG Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes.
Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization - and that starts at the top!
Job SummaryJoin a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You'll be working on one of the most exciting data and technology opportunities in the country while helping to change lives, including your own.
The Senior Director of AI & ML is a senior leadership role responsible for defining and executing the organization's enterprise-wide Artificial Intelligence (AI) strategy. This role will oversee the development, integration, and scaling of AI, machine learning (ML), GenAI initiatives to drive operational efficiency, business innovation, and competitive advantage across Integrity. The ideal candidate combines deep technical expertise, strong executive presence with strategic acumen, and the ability to collaborate across departments to ensure AI initiatives are aligned with business goals.
Responsibilities Strategic Leadership: - Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives.
- Architect and champion, a forward-thinking AI vision that anticipates industry disruption.
- Identify, prioritize, and champion high-impact AI use cases across business functions (technology, sales, distribution, operations, finance, marketing, risk).
- Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes.
- Serve as a trusted advisor to the C-suite, translating complex AI concepts into actionable business strategies.
- Regularly present at board meetings and industry forums, shaping the company's reputation as an innovator in AI.
Program Oversight & Execution: - 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.
Architecture, Data & Technology: - 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.
Executive Presence & Talent Development: - Model executive presence through clear, confident communication and decisive action.
- Mentor senior leaders and technical teams, fostering a culture of innovation, accountability, and continuous learning.
- 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.
- Build and lead high-performing, multidisciplinary teams.
- Develop succession plans and talent pipelines for AI leadership roles.
- Cultivate relationships with external partners, vendors, and thought leaders. Represent the organization at industry events, shaping policy and best practices for AI adoption.
Technical Acumen & Innovation: - Direct the design, deployment, and scaling of sophisticated AI/ML solutions, including generative AI, deep learning, and NLP.
- Evaluate and integrate emerging technologies to maintain a competitive edge. Oversee the development of robust, scalable AI infrastructure, ensuring seamless integration with enterprise data platforms and cloud ecosystems (Azure, Snowflake, Databricks).
- Champion MLOps and responsible AI frameworks.
- Establish and enforce rigorous standards for data governance, security, and ethical AI.
- Lead compliance initiatives for regulated industries (e.g., healthcare, finance, insurance), including GDPR and CPRA.
- Forge strategic partnerships across business units, ensuring AI initiatives deliver measurable value in sales, operations, finance, marketing, and risk management.
- Lead enterprise-wide change management for AI adoption.
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 IntegrityIntegrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike.
Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead.
Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At
Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind.
Headquartered in Dallas, Texas,
Integrity is committed to meeting Americans wherever they are - in person, over the phone or online.
Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit .
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. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities.
PandoLogic. Keywords: Machine Learning Manager, Location: Dallas, TX - 75254
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