BU Data, Analytics, and Artificial Intelligence Lead

Overview

• Shape the future of data, analytics, and AI by setting a clear strategic direction that drives meaningful business outcomes at scale.
• Turn real business challenges into AI opportunities that improve decisions, performance, and competitive advantage.
• Build and lead a high-impact AI portfolio, taking ideas from early concepts to scaled solutions that create measurable value.
• Champion responsible and trusted AI by embedding strong governance, ethics, and data standards into everything delivered.
• Elevate data as a strategic asset by improving quality, consistency, and access to enable powerful insights and AI solutions.
• Lead diverse, cross-functional teams to deliver AI initiatives that are practical, scalable, and business-ready.
• Learn from results to continuously refine approaches, scale successes, and amplify business impact.
• Build strong partnerships with business and digital leaders to align priorities and accelerate AI adoption.
• Strengthen organizational capabilities through targeted learning, clear messaging, and a strong data-driven mindset.
• Drive change with confidence by guiding stakeholders through transformation and ensuring responsible adoption of new solutions.
• Inspire, develop, and grow high-performing Data, Analytics, and AI teams aligned behind a shared vision.

Requirements

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• Relevant certifications (e.g., CAIP, advanced AI/ML certifications) highly valued
• Extensive 15+ years of experience in roles related to business process management or program implementation in a manufacturing industry.
• Effective communication skills with a proven ability to engage diverse stakeholders at all levels, fostering a collaborative environment to drive initiatives.
• Demonstrated competence in influencing and motivating teams to adopt new processes, reduce resistance, and achieve successful transitions to globally harmonized practices.
• Deep understanding of data, analytics, AI/GenAI technologies, machine learning and analytics platforms.
• Strong analytical skills to tackle complex data and/or AI challenges.
• Awareness of ethical considerations in AI development and deployment.

ATS Optimization Keywords

Hard Skills

• Artificial Intelligence
• Data Science
• Machine Learning
• Analytics
• AI Governance
• Data Quality
• Data Standards
• Program Implementation
• Business Process Management
• AI/GenAI Technologies

Soft Skills

• Effective Communication
• Team Leadership
• Stakeholder Engagement
• Collaboration
• Influencing
• Motivating Teams
• Change Management
• Strategic Thinking
• Problem Solving
• Continuous Improvement

Certifications & Qualifications

• Master's Degree in Computer Science
• Master's Degree in Artificial Intelligence
• Master's Degree in Data Science
• CAIP
• Advanced AI/ML Certifications