AI Product Strategy – Transformation Director

Responsibilities

• Develops and maintains Asurint’s enterprise AI strategy, roadmap, operating model, governance framework, and implementation priorities in alignment with corporate objectives and business needs.
• Partners closely with leaders across Operations, Product, Technology, Compliance, Legal, HR, Finance, Client Success, and Executive Leadership to identify business challenges and translate them into practical, AI-enabled solutions.
• Builds and manages an AI opportunity pipeline by identifying, evaluating, and prioritizing high-value use cases across the organization.
• Leads enterprise AI initiatives from concept through deployment, including opportunity assessment, requirements gathering, business case development, pilot execution, implementation planning, change management, adoption, and optimization.
• Serves as the organization’s AI subject matter expert, maintaining deep knowledge of generative AI, large language models, workflow automation, AI agents, intelligent search, knowledge management, adoption, and optimization.
• Designs, prototypes, configures, and deploys AI-enabled solutions including copilots, workflow automations, knowledge assistants, decision-support tools, document intelligence solutions, and other business productivity applications.
• Evaluates build-versus-buy options and recommends AI platforms, technologies, and solutions based on business value, scalability, security requirements, integration capabilities, implementation complexity, and return on investment.
• Establishes a structured intake, evaluation, prioritization, and governance process for AI-related requests and opportunities across the enterprise.
• Drives adoption and business utilization of AI solutions through training programs, user enablement, communication strategies, best practices, and organizational change management initiatives.
• Partners with Technology, Security, Compliance, Legal, and Data Governance stakeholders to ensure AI solutions meet organizational and AI governance standards related to responsible AI usage, data privacy, human oversight, risk management, monitoring, approval workflows, and compliance requirements as well as applicable regulatory obligations for sensitive and regulated data.
• Develops success metrics, operational KPIs, and value realization frameworks to measure productivity improvements, operational efficiencies, cost savings, quality enhancements, risk reduction, and business impact.
• Monitors AI initiative performance, user adoption, business outcomes, and return on investment; continuously refines solutions and priorities based on measurable results.
• Facilitates discovery sessions, operational reviews, workshops, and working sessions to identify workflow inefficiencies, automation opportunities, and AI use cases.
• Builds and maintains a portfolio and pipeline of AI opportunities across the organization, balancing quick wins with strategic transformation initiatives.
• Creates reusable AI frameworks, standards, templates, implementation methodologies, and best practices to accelerate enterprise adoption and scalability.
• Serves as a trusted advisor to executive leadership regarding AI strategy, organizational readiness, technology investments, implementation risks, governance considerations, and emerging industry developments.
• Prepares executive-level presentations, strategic recommendations, implementation roadmaps, business cases, performance reporting, and status updates related to enterprise AI initiatives.
• Fosters a culture of innovation, experimentation, operational excellence, continuous improvement, and responsible AI adoption throughout the organization.
• Other duties as required.

• Strong understanding of artificial intelligence concepts and applied enterprise use cases, including generative AI, large language models, machine learning, intelligent automation, workflow orchestration, retrieval-augmented generation, AI agents, and knowledge management systems is required.
• Demonstrated experience delivering AI-enabled business solutions, digital transformation initiatives, automation programs, or enterprise technology implementations.
• Proven ability to identify, evaluate, prioritize, and implement business process improvements and transformation initiatives.
• Strong business analysis, product management, project leadership, change management, and stakeholder engagement skills.
• Experience facilitating cross-functional initiatives involving business, technology, compliance, and executive stakeholders.
• Strong analytical, organizational, problem-solving, and strategic planning capabilities.
• Experience with organizational change management, user adoption strategies, training, and communication planning.
• Ability to translate complex technical concepts into clear business recommendations and executive-level communications.
• Familiarity with data governance, information security, privacy considerations, risk management, and responsible AI practices.
• Experience evaluating software vendors, enterprise technology…