AI Product Strategy & Transformation Director

📍 Job Overview

Job Title: AI Product Strategy & Transformation Director

Company: One Source Technology LLC (Asurint)

Location: Cleveland, Ohio, United States (Remote OK within the US)

Job Type: Full-Time

Category: Product Strategy & Transformation, Artificial Intelligence

Date Posted: June 06, 2026

Experience Level: 10+ Years

🚀 Role Summary

• Lead the development and execution of the enterprise-wide Artificial Intelligence (AI) strategy, encompassing Generative AI, Large Language Models (LLMs), and intelligent automation initiatives.

• Drive digital transformation by identifying, prioritizing, and implementing AI-enabled business solutions across all organizational functions to enhance efficiency and outcomes.

• Serve as the primary AI subject matter expert, guiding the organization on emerging AI technologies, best practices, and responsible AI governance.

• Foster a culture of innovation and continuous improvement by championing AI adoption and demonstrating measurable business value through robust KPI development and ROI analysis.

• Collaborate closely with executive leadership, business units, and technology teams to translate strategic objectives into practical AI applications and operational workflows.

📝 Enhancement Note: This role is positioned as a senior leadership function, acting as a "transformation catalyst" for AI adoption. It requires a strategic mindset with a strong emphasis on practical implementation and measurable business impact, bridging the gap between advanced AI capabilities and core business operations.

📈 Primary Responsibilities

• Develop and maintain the comprehensive enterprise AI strategy, including the strategic roadmap, operating model, and governance framework aligned with corporate objectives.

• Identify, evaluate, and prioritize high-value AI use cases across Operations, Product, Technology, Compliance, Legal, HR, Finance, and Client Success to build and manage an AI opportunity pipeline.

• Lead AI initiatives from ideation through deployment, focusing on opportunity assessment, business case development, pilot execution, implementation planning, change management, and ongoing optimization.

• Design, prototype, configure, and deploy AI-enabled solutions such as copilots, workflow automations, knowledge assistants, decision-support tools, and document intelligence applications.

• Establish and manage a structured intake, evaluation, prioritization, and governance process for all AI-related requests and opportunities across the enterprise.

• Drive the adoption and effective utilization of AI solutions through comprehensive training programs, user enablement, strategic communication, and robust change management initiatives.

• Collaborate with Technology, Security, Compliance, Legal, and Data Governance teams to ensure AI solutions adhere to organizational standards for responsible AI usage, data privacy, human oversight, risk management, and regulatory compliance.

• Define success metrics, operational KPIs, and value realization frameworks to quantify productivity improvements, operational efficiencies, cost savings, quality enhancements, risk reduction, and overall business impact.

• Create reusable AI frameworks, standards, templates, implementation methodologies, and best practices to accelerate enterprise adoption and ensure scalability.

• Act as a trusted advisor to executive leadership on AI strategy, organizational readiness, technology investments, implementation risks, governance considerations, and emerging AI industry developments.

• Prepare executive-level presentations, strategic recommendations, implementation roadmaps, business cases, and performance reports for enterprise AI initiatives.

• Foster a culture of innovation, experimentation, operational excellence, continuous improvement, and responsible AI adoption throughout the organization.

📝 Enhancement Note: The responsibilities clearly indicate a need for end-to-end ownership of AI strategy and implementation. This includes not only identifying opportunities but also overseeing the entire lifecycle of AI solutions, from development and deployment to adoption and value realization, with a strong emphasis on governance and risk management.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Business, Operations, Information Technology, Computer Science, Engineering, Data Analytics, Product Management, Organizational Leadership, or a related field is required. An MBA or other advanced degree is preferred.

Experience: Minimum of 8 years in business transformation, project management, operations management, consulting, technology implementation, process improvement, or digital transformation. Three years of experience leading AI, automation, digital transformation, or enterprise technology initiatives is strongly preferred. Minimum of 3 years leading cross-functional teams or direct reports is preferred.

Required Skills:

• Strong understanding of AI concepts and applied enterprise use cases, including Generative AI, Large Language Models (LLMs), Machine Learning, Intelligent Automation, Workflow Orchestration, Retrieval-Augmented Generation (RAG), AI Agents, and Knowledge Management systems.

• 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 platforms, and implementation partners.

• Proficiency in Microsoft Office applications. Preferred Skills:

• Lean Mindset/Lean Thinking experience and approach.

• Experience with background screening, identity verification, or regulated information services.

• Enterprise business systems, workflow automation platforms, analytics platforms, and collaboration tools.

• AI-related certifications, Six Sigma certification, project management certifications (PMP, Agile, Scrum).

📝 Enhancement Note: The requirements emphasize a blend of strategic AI knowledge, practical implementation experience, and strong leadership/collaboration skills. Candidates with experience in regulated industries or specific methodologies like Lean are highly desirable, suggesting a focus on structured, compliant, and efficient AI deployment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase evidence of developing and implementing enterprise-wide AI strategies or significant digital transformation initiatives.

• Provide case studies demonstrating the identification, prioritization, and successful deployment of AI-enabled business solutions, including Generative AI and LLMs.

• Detail your approach to establishing AI governance frameworks, operating models, and risk management processes for AI deployments.

• Illustrate experience in evaluating and selecting AI platforms, technologies, and implementation partners, with a focus on ROI and scalability.

• Present examples of driving user adoption and change management for AI solutions, highlighting measurable improvements in efficiency or productivity. Process Documentation:

• Document your methodology for assessing business challenges and translating them into practical, AI-enabled solutions.

• Outline your approach to building and managing an AI opportunity pipeline, including evaluation and prioritization criteria.

• Provide examples of designing and deploying AI solutions, detailing the technologies used and the business outcomes achieved.

• Showcase your experience in establishing and managing AI governance processes, including compliance, data privacy, and responsible AI usage.

• Detail your methods for defining success metrics, operational KPIs, and value realization frameworks for AI initiatives.

📝 Enhancement Note: While not explicitly stated as a "portfolio requirement," the role's responsibilities heavily imply the need for a strong track record that candidates should be prepared to present. This includes strategic planning, implementation leadership, governance, and measurable impact, particularly in AI and digital transformation.

💵 Compensation & Benefits

Salary Range: $115,000 - $185,000 per year

Benefits:

• Medical, Dental, and Vision insurance effective on the first day of employment.

• 401(k) plan with an employer match.

• Paid Time Off (PTO).

• 10 company-paid holidays.

• Employee Assistance Program (EAP).

• Wellness Program.

• Paid Bereavement and Pet Bereavement.

• Pet Insurance.

• Volunteer Time Off.

• Telecommuting Stipend.

• Professional Development Programs.

• Short-term Disability insurance.

• Company-paid Long-term Disability insurance.

• Company-paid Life Insurance.

• Flexible Spending Accounts (FSA) / Health Savings Accounts (HSA).

• Employee Referral Bonus program.

Working Hours: Generally normal Eastern Time Zone business hours (40 hours per week), with the flexibility to perform work, attend meetings, and events outside of normal hours, including occasional evenings and weekends, as required by the position, working location, or business needs.

📝 Enhancement Note: The salary range is provided and falls within the typical compensation for a Director-level role focused on AI strategy and transformation in a mid-sized technology company. The benefits package is comprehensive, indicating a commitment to employee well-being and professional growth. The flexibility in working hours is common for senior leadership roles requiring strategic oversight and responsiveness.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services (specifically, background screening and identity verification solutions). Asurint operates within a regulated industry, emphasizing compliance, data integrity, and advanced technology to deliver reliable screening services.

Company Size: Mid-sized company. The provided LinkedIn data indicates a range, but the description suggests a company large enough to necessitate a dedicated enterprise AI strategy and transformation function.

Founded: The company Asurint was founded in 1999. This history suggests a stable organization with established processes, now looking to leverage cutting-edge AI for future growth.

Team Structure:

• The AI Product Strategy & Transformation Director will likely lead a nascent or emerging AI function, potentially building a small team or acting as a key individual contributor initially.

• This role will report to senior executive leadership, likely a C-suite member (e.g., Chief Product Officer, Chief Technology Officer, or CEO), given the strategic nature of the position.

• Close collaboration is expected with leaders across Operations, Product, Technology, Compliance, Legal, HR, Finance, and Client Success, highlighting a matrixed and cross-functional operational environment. Methodology:

• Data-Driven Decision Making: The company emphasizes "data-driven, tech-enabled solutions" and "informed decisions," indicating a strong reliance on analytics and measurable outcomes.

• Process Optimization: The core business of screening is inherently process-driven, and the AI role is tasked with identifying and implementing process improvements and redesigning workflows.

• Innovation & Adoption: The company aims to "redefine screening" and drive "measurable business outcomes" through AI, suggesting a culture that values innovation and the effective adoption of new technologies.

Company Website: https://www.asurint.com/ (Note: The input data provided a generic URL for One Source Technology LLC, but the job description clearly refers to "Asurint" as the operating entity where the role resides.)

📝 Enhancement Note: Asurint positions itself as a technology-driven company in the screening industry. The AI Director role is central to its future strategy, focusing on leveraging advanced technologies to enhance its core offerings and operational efficiency. The culture appears to value innovation, compliance, and data-informed decision-making.

📈 Career & Growth Analysis

Operations Career Level: This is a Director-level position, indicating significant strategic responsibility and leadership. It sits at the intersection of Product Management, Technology, and Business Operations, with a focus on driving enterprise-wide change through AI. The role requires a high degree of autonomy and influence.

Reporting Structure: The Director will report to senior executive leadership, likely a C-suite executive. This direct line of reporting signifies the strategic importance of the AI function and provides a clear path for executive sponsorship and decision-making.

Operations Impact: The role is designed to have a profound impact on the organization's revenue, operational efficiency, and competitive positioning. By implementing AI solutions, the Director will aim to:

• Enhance product offerings and client value.

• Streamline internal processes, leading to cost savings and increased throughput.

• Improve decision-making accuracy and speed across various departments.

• Mitigate risks through better compliance and security mechanisms.

• Drive innovation and establish Asurint as a leader in AI-driven screening solutions. Growth Opportunities:

• Leadership Expansion: Potential to build and lead a dedicated AI/ML team, growing from a strategic individual contributor to a functional leader.

• Strategic Influence: Deep involvement in shaping the long-term technology and business strategy of the company, influencing major investment and development decisions.

• Industry Expertise: Becoming a recognized expert in AI application within the screening and information services industry.

• Cross-Functional Mastery: Gaining extensive experience and building strong relationships across all major business functions.

• Advanced Technology Adoption: Leading the charge on adopting and integrating next-generation AI technologies, staying at the forefront of technological advancements.

📝 Enhancement Note: This role offers a significant opportunity for a seasoned professional to define and lead a critical strategic initiative within a stable company. The growth potential lies in expanding the AI function and influencing the company's overall strategic direction.

🌐 Work Environment

Office Type: The company offers a hybrid work environment, allowing for either remote work within the United States or working from their Cleveland, Ohio headquarters. This provides flexibility for employees based on their location and personal preferences.

Office Location(s): The primary physical office location mentioned is the headquarters at 1111 Superior Ave., Cleveland, Ohio, 44114.

Workspace Context:

• Flexibility: The option for remote work means the employee is responsible for maintaining a safe, secure, and ergonomically sound workspace with adequate internet speeds.

• Collaboration: Whether remote or in-office, the role necessitates extensive virtual and in-person collaboration with various departments. The company provides standard office equipment and technology solutions to support this.

• Technology Access: Employees will have access to necessary enterprise business systems, workflow automation platforms, analytics platforms, and collaboration tools to perform their duties effectively.

Work Schedule: Generally adheres to Eastern Time Zone business hours (40 hours/week). However, the nature of a Director-level strategic role means flexibility is expected, with potential requirements for work, meetings, and events outside of standard hours, including occasional evenings and weekends.

📝 Enhancement Note: The hybrid model (remote or office-based) and the inherent demands of a senior strategic role suggest a work environment that values both autonomy and collaboration. Employees are expected to manage their own productivity and workspace while being readily available for cross-functional engagement.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or HR representative will likely conduct an initial screening to assess basic qualifications, experience alignment, and cultural fit.

2. Hiring Manager Interview: A discussion with the direct hiring manager (likely a C-level executive) to delve deeper into strategic thinking, AI expertise, transformation leadership, and specific use case examples.

3. Cross-Functional Stakeholder Interviews: Interviews with key leaders from Operations, Technology, Product, Compliance, and Legal to evaluate collaboration skills, understanding of business needs, and ability to navigate complex organizational dynamics.

4. Executive/Panel Interview: A final interview with senior leadership or a panel to assess strategic vision, executive presence, and overall suitability for driving enterprise-wide AI transformation.

5. Potential Case Study/Presentation: Candidates may be asked to prepare a presentation or case study on a hypothetical AI strategy or transformation plan for Asurint, demonstrating their strategic thinking, problem-solving abilities, and communication skills.

Portfolio Review Tips:

• Strategic AI Vision: Prepare to articulate your vision for AI at Asurint, supported by market trends and specific use cases relevant to the screening industry.

• Transformation Leadership: Showcase examples where you led significant business transformations, particularly those involving technology adoption and process re-engineering.

• Quantifiable Impact: For each project or initiative presented, clearly articulate the business problem, your role, the solution implemented, and the measurable outcomes (e.g., efficiency gains, cost savings, revenue impact, risk reduction). Use metrics and KPIs.

• Governance and Ethics: Be ready to discuss your approach to AI governance, responsible AI practices, data privacy, and risk management in the context of a regulated industry.

• Stakeholder Management: Provide examples of how you successfully engaged and managed diverse stakeholders, from technical teams to executive leadership.

Challenge Preparation:

• AI Strategy Development: Be prepared to discuss how you would approach developing Asurint's AI strategy and roadmap over the next 1-3 years.

• Use Case Prioritization: Understand how you would identify and prioritize AI use cases, balancing quick wins with long-term strategic impact, considering ROI and feasibility.

• Change Management Plan: Outline a high-level change management strategy for introducing AI solutions across different business units.

• AI Governance Framework: Discuss key components of an AI governance framework suitable for a company like Asurint.

📝 Enhancement Note: The interview process is designed to be rigorous, assessing strategic acumen, technical depth in AI, leadership capabilities, and cross-functional collaboration. A strong portfolio demonstrating tangible results and a clear strategic vision will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• AI/ML Platforms: Experience with major cloud AI platforms (e.g., AWS SageMaker, Azure Machine Learning, Google AI Platform) for model development, deployment, and management.

• Generative AI/LLM Tools: Familiarity with platforms and APIs for Generative AI, LLMs, and Natural Language Processing (NLP) such as OpenAI (GPT series), Anthropic (Claude), Google AI (Vertex AI), or similar.

• Workflow Automation: Proficiency with business process management (BPM) or workflow automation tools (e.g., UiPath, Automation Anywhere, Microsoft Power Automate, Appian) to integrate AI into operational processes.

• Data Integration & ETL Tools: Experience with tools for data extraction, transformation, and loading (ETL) to prepare data for AI models and ensure seamless data flow between systems (e.g., Informatica, Talend, Azure Data Factory, AWS Glue).

Analytics & Reporting:

• Business Intelligence (BI) Platforms: Experience with BI tools for data visualization and reporting (e.g., Tableau, Power BI, Looker) to track AI initiative performance and KPIs.

• Analytics Platforms: Familiarity with advanced analytics tools and statistical software (e.g., Python with libraries like Pandas, NumPy, Scikit-learn; R) for data analysis and model evaluation.

CRM & Automation:

• CRM Systems: Understanding of how AI can be integrated into CRM platforms (e.g., Salesforce, Microsoft Dynamics 365) to enhance customer interactions and sales processes, although direct CRM management may not be the primary focus.

• Collaboration & Project Management Tools: Proficiency with tools like Microsoft Teams, Slack, Asana, Jira, or Trello for team communication, project tracking, and workflow management.

📝 Enhancement Note: The role requires a broad understanding of the AI technology landscape, from core AI/ML platforms and generative AI models to workflow automation and data management tools. While the Director may not be hands-on with every tool, they must understand their capabilities, integration potential, and how to leverage them for business impact.

👥 Team Culture & Values

Operations Values:

• Innovation & Continuous Improvement: A drive to explore new AI technologies and continuously refine processes for better efficiency and effectiveness.

• Data-Driven Decision Making: Valuing insights derived from data to inform strategic choices and measure success.

• Collaboration & Partnership: Working effectively across departments to achieve shared goals and integrate AI solutions seamlessly.

• Responsible AI & Ethics: Commitment to ethical AI deployment, ensuring fairness, transparency, data privacy, and risk mitigation.

• Customer Focus: Utilizing AI to enhance client value and improve service delivery within the screening industry.

• Operational Excellence: Striving for efficiency, accuracy, and reliability in all processes, amplified by AI.

Collaboration Style:

• Cross-Functional Integration: The role necessitates deep collaboration with various business units, requiring strong communication and relationship-building skills to ensure AI initiatives are aligned with and supported by all stakeholders.

• Process-Oriented Feedback: Encouraging a culture where feedback on AI solutions and processes is actively sought and used for iterative improvement.

• Knowledge Sharing: Fostering an environment where learnings from AI experimentation and implementation are shared across the organization to accelerate adoption and innovation.

• Strategic Partnership: Acting as a strategic partner to executive leadership, providing insights and recommendations on leveraging AI for competitive advantage.

📝 Enhancement Note: The company culture appears to be forward-thinking, emphasizing innovation, data integrity, and ethical practices, which are critical for a role focused on AI transformation. The collaboration style will be key to successfully navigating the complexities of integrating AI across a diverse organization.

⚡ Challenges & Growth Opportunities

Challenges:

• AI Adoption Resistance: Overcoming potential skepticism or resistance to new AI technologies and changes in established workflows from employees and departments.

• Data Quality & Availability: Ensuring the availability of high-quality, relevant data required for training and deploying effective AI models, especially within a regulated industry.

• Ethical & Compliance Navigation: Balancing the advancement of AI capabilities with stringent data privacy, security, and regulatory requirements inherent in the background screening industry.

• Defining & Measuring ROI: Clearly articulating and proving the return on investment for AI initiatives, which can sometimes be challenging to quantify directly.

• Rapid Technological Evolution: Keeping pace with the extremely rapid advancements in AI technology and discerning which innovations are truly valuable and scalable for Asurint.

Learning & Development Opportunities:

• AI Specialization: Deepening expertise in niche areas of AI, such as specific LLM architectures, RAG implementation, or AI agent development.

• Industry-Specific AI Applications: Becoming a leader in applying AI to the unique challenges and opportunities within the background screening and information services sector.

• Executive Leadership: Developing strategic leadership skills, influencing organizational strategy, and potentially growing into broader executive roles.

• Building and Managing Teams: Gaining experience in recruiting, developing, and leading high-performing AI and transformation teams.

• Continuous Technology Scouting: Staying abreast of the latest AI research, tools, and best practices through conferences, publications, and industry networks.

📝 Enhancement Note: The role presents significant challenges related to change management, data maturity, and regulatory compliance, but also offers substantial opportunities for professional growth, strategic impact, and leadership development in the cutting-edge field of AI.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing an enterprise AI strategy. What key components would you include for Asurint?"

• "How would you identify and prioritize AI use cases within a company like Asurint, considering our business model and regulatory environment?"

• "Walk me through a successful AI-enabled business transformation you led. What were the key challenges, your approach, and the measurable outcomes?"

• "How do you approach building an AI governance framework? What are the critical elements for ensuring responsible AI usage, data privacy, and compliance?"

• "How would you foster a culture of AI innovation and adoption across different departments, from operations to client success?" Company & Culture Questions:

• "Based on your research, what do you see as the biggest opportunities for AI to impact the background screening industry?"

• "How do you see your role fitting into Asurint's existing organizational structure and culture?"

• "Describe a time you had to gain buy-in from executive leadership for a significant technology initiative. What was your strategy?"

• "How do you manage change when introducing new technologies that might impact established workflows or roles?" Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio around key achievements, focusing on 2-3 significant AI or transformation initiatives. For each, use a STAR (Situation, Task, Action, Result) or similar framework.

• Quantify Everything: Emphasize the measurable business impact of your work. Use specific metrics, KPIs, and ROI figures. If exact numbers are sensitive, use percentages or provide ranges.

• Showcase Strategic Thinking: Clearly articulate the strategic rationale behind your projects, demonstrating how they aligned with business objectives.

• Highlight Leadership & Collaboration: Illustrate your ability to lead cross-functional teams, manage stakeholders, and drive consensus.

• Address AI Governance: Be prepared to discuss your approach to responsible AI, data security, and compliance, especially relevant for Asurint's industry.

• Tailor to Asurint: Whenever possible, connect your experience and examples to Asurint's specific business context, industry, and potential AI use cases.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic leadership, deep AI knowledge, practical implementation experience, and the ability to drive organizational change. A well-curated portfolio that highlights quantifiable results and a clear understanding of Asurint's business context will be essential.

📌 Application Steps

To apply for this AI Product Strategy & Transformation Director position:

• Submit your application through the provided link on the One Source Technology LLC/Asurint careers portal.

• Tailor Your Resume: Customize your resume to highlight keywords and responsibilities directly related to AI strategy, Generative AI, LLMs, digital transformation, product management, change management, and enterprise-level project leadership. Emphasize your years of experience in relevant fields and any leadership roles.

• Prepare Your Portfolio: Compile a concise presentation or document showcasing 2-3 key AI or transformation initiatives. Focus on demonstrating strategic impact, quantifiable results, your leadership approach, and your understanding of AI governance and ethical considerations. Be ready to present this during the interview process.

• Research Asurint: Thoroughly research Asurint's business, its position in the screening industry, its current technology stack (if discoverable), and its stated values. Understand the challenges and opportunities within the information services sector.

• Practice Your Narrative: Prepare to articulate your AI vision for Asurint, your approach to driving transformation, and how your experience directly aligns with the requirements of the role. Practice answering common interview questions related to strategy, problem-solving, and leadership.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.