About Us
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. With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques including predictive modeling, custom dynamic dashboards, next-best-action and behavior triggers, as well as cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes.
Integrity has experienced significant growth and is employee-owned, with strong female leadership representation.
Job Summary
As Director of AI & ML, you will define and execute the enterprise-wide AI strategy, oversee development and integration of AI/ML initiatives to drive efficiency and innovation across the company, collaborating across departments and leadership.
Responsibilities
- Strategic Leadership: Define and lead AI strategy aligned to digital transformation; champion AI use cases across business functions; drive AI adoption and digital innovation; collaborate with executives on AI-driven business models.
- Program Oversight & Execution: Manage AI/ML initiatives portfolio; ensure governance, compliance, ethical AI; establish KPIs and monitor ROI; manage vendor relationships.
- Team Leadership & Talent Development: Build and mentor a high-performing AI team; foster culture of experimentation and innovation; support AI literacy across enterprise.
- Architecture, Data & Technology: Partner with technical teams to ensure scalable AI infrastructure; champion MLOps and responsible AI principles; stay updated on emerging AI trends.
Position Requirements
- 10+ years experience in data platforms, AI, ML or analytics, including 5+ years senior leadership/strategy role.
- Proven delivery of AI solutions driving measurable business value.
- Experience with cloud platforms (Azure, Snowflake, Databricks), AI/ML tools (PySpark, Ragas, mlflow, LangChain).
- Knowledge in supervised/unsupervised learning, NLP, deep learning, generative AI.
- Strong enterprise IT, data governance, architecture, security standards understanding.
- Excellent communication and strategic collaboration skills.
Preferred Experience
- Responsible AI framework implementation or regulated industries experience (healthcare, finance, insurance).
- Familiarity with AI compliance (GDPR, CPRA) and explainable AI practices.
- Experience with generative AI integrations, e.g., large language models in enterprise workflows.
