Artificial Intelligence & Data Vice President

AI Strategy Enablement:

Define and lead the organization's AI vision and roadmap.

Partner with business units to identify high-impact AI/ML use cases (e.g., automation, predictive analytics, generative AI).

Establish AI governance frameworks around model ethics, data privacy, bias, and compliance.

Data Strategy Infrastructure Modernization:

Build a robust data architecture that supports real-time, scalable, and AI-ready data pipelines.

Drive data democratization while ensuring strong data governance and security.

Ensure the company's tech stack is cloud-native, API-first, and modular, making it easy to plug in AI services.

Business Alignment Digital Transformation

Shift from being a cost center to a revenue enabler and innovation driver.

Use AI to improve customer experience, operational efficiency, and decision-making.

AI Talent Organizational Change

Build or upskill teams in AI, data science, prompt engineering, and MLOps.

Navigate the change management needed to adopt AI across departments.

Cybersecurity in the AI Age

Implement AI-powered threat detection and response.

Govern the use of generative AI tools (like ChatGPT) to prevent data leakage.

Manage third-party AI risk and compliance

Innovation Management Emerging Tech Scouting

buy for AI systems.

Create a cloud + AI vendor ecosystem (e.g., AWS, Azure, Google Cloud, OpenAI, Nvidia).

Provide overall leadership and direction for the IT infrastructure and enterprise systems function.

Develop and implement enterprise-wide IT strategies aligned with organizational goals.

Drive digital transformation initiatives, including ERP, cloud, SAS, AI, and Microsoft 365 deployments.

Establish strong IT governance, compliance, and cybersecurity frameworks.

Ensure IT operations are scalable, secure, and cost-efficient.

Lead large-scale IT projects from concept to delivery, ensuring timely and successful execution.

Vendor Partner Relations – Experience negotiating contracts and managing external technology partnerships

Risk Management – Expertise in identifying and mitigating IT risks, including cybersecurity threats

Cloud Computing – Expertise in AWS, Azure, or Google Cloud for scalable infrastructure or similar

Cybersecurity – Strong knowledge of security frameworks, risk mitigation, and compliance

Application Development Deployment – Overseeing software development and system integration

Data Analytics – Ability to leverage data for strategic decision-making using tools like Power BI or Tableau1.

AI/ML Expertise – Understanding of artificial intelligence and machine learning applications in business

ERP SaaS Management – Experience managing enterprise systems and cloud-based software

Disaster Recovery Planning – Ensuring business continuity through robust recovery strategies

Network Architecture IT Infrastructure – Deep understanding of system design, scalability, and reliability

Strong team building, coaching, and stakeholder management skills.

Strategic Planning – Ability to align IT initiatives with business goals and long-term vision

Team Leadership Development – Proven experience in mentoring, recruiting, and managing high-performing teams

Project Management – Skilled in Agile, Scrum, and other methodologies for delivering complex IT projects

Innovation Management – Driving digital transformation and fostering a culture of innovation

Certifications in cloud (AWS/Azure), ERP systems, or cybersecurity.

Deploying enterprise-wide LLM assistants to boost employee productivity.

Rolling out AI-driven forecasting models in supply chain or finance.

Implementing RPA + AI for back-office automation.

Leading AI ethics committee or governance boards.

Bachelor's or Master's degree in Information Technology, Computer Science, or related fields.

15 to 20 years of progressive experience in IT leadership roles, including ERP, cloud, AI, and digital transformation programs.

In-depth knowledge of ERP platforms (SAP/Oracle), cloud infrastructure (AWS/Azure), cybersecurity frameworks, and AI/ML integrations.

Proven experience in IT modernization, automation, and process optimization.

Strong experience in business continuity planning and disaster recovery strategies.

Experience in IT risk management and compliance in regulated environments.