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AI Product Strategy & Transformation Director

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Asurint
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Description

Asurint has redefined screening by blending advanced technology with human insights, creating a smarter, more effective way to screen. Our compliant, data-driven, tech-enabled solutions deliver faster, more reliable results to empower confident decisions. At Asurint, each member of our team plays an integral part as we work together to drive informed decisions through advanced screening solutions for fair and safe workplaces and communities.

Summary

The AI Product Strategy & Transformation Director is responsible for establishing, leading, and scaling Asurint’s enterprise artificial intelligence capability. This role serves as the primary AI strategist and transformation catalyst by identifying, prioritizing, implementing, and governing AI-enabled business solutions across all functions; and partners closely with business and technology stakeholders to identify high-value opportunities, redesign workflows, deploy practical AI solutions, inspire adoption, and drive measurable business outcomes.

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,…
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