Responsibilities
- Develop and implement a future-ready data and artificial intelligence strategy in line with corporate growth and digital evolution goals.
- Discover and pursue high-impact opportunities to apply data and AI across JD Edwards, Infor, QAD, Salesforce, and other enterprise platforms.
- Collaborate with senior executives to identify and advance initiatives that generate measurable business outcomes.
- Advocate for a product-based approach to deliver reusable, scalable data and AI solutions.
- Design and lead the implementation of modern data and AI architectures using Snowflake and AWS to support real-time, scalable capabilities.
- Lead the integration of ERP systems—including JD Edwards, Infor, and QAD—and Salesforce into a cohesive enterprise data ecosystem.
- Define and enforce standards for data modeling, pipeline development, and architecture to support analytics and AI applications.
- Ensure data infrastructure is secure, high-performing, scalable, and aligned with organizational requirements.
- Accelerate the deployment of AI tools such as ChatGPT (OpenAI) and Claude to improve productivity and decision-making.
- Oversee the design and deployment of AI-driven solutions from ideation to production.
- Work closely with engineering and business units to integrate AI into key operational workflows.
- Assess and scale new AI technologies to maximize business return and operational efficiency.
- Improve data quality, consistency, and accessibility across ERP and Salesforce environments.
- Lead efforts to standardize and enhance master data for customers, products, and suppliers.
- Define and track metrics to monitor data reliability and increase stakeholder trust.
- Enable advanced analytics and self-service reporting using Qlik and enterprise data platforms.
- Use integrated data from ERP and Salesforce to enhance sales pipeline visibility, forecasting, and customer understanding.
- Translate business challenges into scalable data and AI solutions that improve performance.
- Ensure data is treated as a strategic asset to accelerate and improve decision-making.
- Lead, coach, and grow a team of data and AI specialists, promoting a culture of innovation and high performance.
- Align team goals with business strategy and digital transformation milestones.
- Ensure disciplined execution, timely delivery, and ongoing refinement of all projects.
- Drive adoption of data-centric and AI-powered practices across global teams.
- Increase data and AI fluency across business units through training and engagement.
- Create standardized frameworks and best practices to enable broad deployment of data and AI solutions.
