Overview:

Our client is a healthcare leader building an enterprise Intelligence Platform that serves as a trusted source of insights, recommendations, and knowledge across the organization. They are seeking a Head of AI & Strategy to drive the transformation from foundational data management to advanced AI-powered intelligence, enabling measurable business growth across both B2B and B2C channels. The role is responsible for creating a connected intelligence ecosystem that delivers trusted, explainable, and actionable insights that support strategic decision-making and commercial outcomes.

Responsibilities:

• Lead the execution of the enterprise intelligence strategy, establishing a centralized platform for insights, knowledge, and decision support across the organization.
• Develop and operationalize scalable intelligence systems that continuously improve through high-quality data, advanced analytics, machine learning, and AI capabilities.
• Translate business objectives into a prioritized roadmap that drives measurable revenue growth, operational efficiency, and customer value.
• Embed intelligence and AI-driven insights into core business processes and commercial workflows to enable data-informed decision-making at scale.
• Deliver AI and machine learning solutions that support growth initiatives, customer engagement, personalization, retention, and revenue optimization.
• Design and oversee modern data and intelligence architectures, including connected data ecosystems, semantic layers, knowledge management frameworks, and AI-ready platforms.
• Establish governance standards for data quality, metrics, lineage, observability, security, compliance, and responsible AI practices.
• Ensure platform scalability, reliability, cost efficiency, transparency, and explainability across all data and AI capabilities.
• Build, lead, and scale high-performing teams across AI, analytics, data science, and insights functions while fostering a culture focused on business outcomes and continuous innovation.
• Partner with cross-functional stakeholders and external vendors to align technology investments with long-term strategic objectives and organizational priorities.
• Drive the adoption of self-service analytics, governed metrics, and enterprise-wide intelligence capabilities that empower business users and accelerate decision-making.

Qualifications:

• 10+ years of experience in data, analytics, AI, or related disciplines, including significant leadership experience managing and developing technical teams
• Demonstrated success designing and scaling enterprise data, analytics, and AI programs that deliver measurable business and revenue impact
• Strong expertise in modern data architecture, cloud platforms, data governance, semantic modeling, and enterprise intelligence solutions
• Experience building AI-ready environments and deploying machine learning, generative AI, and advanced analytics capabilities in production settings
• Deep understanding of data engineering, DataOps, MLOps, automation, orchestration frameworks, and modern development practices
• Proven ability to architect connected intelligence ecosystems that integrate structured and unstructured data, advanced reasoning capabilities, and AI-driven workflows
• Experience operationalizing recommendation engines, personalization platforms, predictive models, or other commercial intelligence solutions at scale
• Strong executive communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business value
• Track record of building and scaling high-performing data, analytics, engineering, and AI organizations
• Knowledge of customer engagement, CRM, loyalty, omnichannel experiences, and commercial analytics is highly desirable
• Experience in healthcare, life sciences, retail, consumer products, or other regulated industries is preferred
• Strong understanding of responsible AI, data privacy, compliance, risk management, and governance best practices