Integrity is looking to define and execute an enterprise-wide Artificial Intelligence (AI) strategy to drive operational efficiency, business innovation, and competitive advantage by leveraging AI and machine learning (ML) initiatives.
Requirements
- 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.
- 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.
Responsibilities
- Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale.
- 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.
- 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.
Other
- Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives.
- Collaborate with executive leadership to develop AI-driven business models and solutions.
- Ensure proper governance, compliance, risk management, and ethical AI practices.
- Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts.
- Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences.
