Job Description
Job Duties and Responsibilities
Enterprise Data & AI Strategy Leadership
• Define and lead the enterprise data strategy, anchored in MDM, data governance, analytics, and AI, aligned to AFM and Commercial growth priorities.
• Establish a multi-year roadmap spanning master data, data platforms, analytics, and AI/GenAI capabilities.
• Act as a strategic advisor to executive leadership, shaping how data and AI drive competitive advantage, revenue, and operational excellence.
• Build and lead a high-performing global organization across MDM, data engineering, governance, analytics, and data science.
Master Data Management (MDM) & Data Governance
• Own and institutionalize enterprise MDM strategy and platforms across core domains (Customer, Product, Supplier, Pricing, Assets).
• Establish data ownership, stewardship models, and domain accountability across AFM and Commercial.
• Drive data standardization, harmonization, and lifecycle management to enable consistent reporting and AI readiness.
• Lead enterprise-wide data governance frameworks, including policies, quality management, lineage, and metadata.
• Ensure compliance with regulatory, privacy, cybersecurity, and intellectual property standards.
• Define and track data quality KPIs and drive continuous improvement across business domains.
Data Platforms & Architecture
• Own the strategy and evolution of modern data platforms, including lakehouse architectures, real-time data pipelines, and semantic data layers.
• Ensure platforms are AI-ready, scalable, secure, and optimized for cost and performance.
• Partner with Enterprise Architecture and Cybersecurity to enforce standards, data models, and integration patterns.
• Enable seamless integration of ERP, CRM, supply chain, and engineering data into unified data products.
Analytics, AI & Advanced Capabilities
• Define and scale a portfolio of high-impact analytics and AI use cases, including:
o Commercial performance, pricing, and margin optimization
o Aftermarket demand forecasting and parts optimization
o Customer insights and segmentation
o Predictive maintenance and service optimization
o AI-enabled anomaly detection and operational intelligence
o Generative AI for commercial insights, automation, and decision support
• Lead the end-to-end AI lifecycle (ideation to production) with strong MLOps and governance practices.
• Establish a product-based data & analytics operating model, delivering reusable, scalable data products and AI capabilities.
AFM & Commercial Business Alignment
• Partner with AFM and Commercial leaders to translate business strategy into data, MDM, and AI solutions.
• Ensure master and transactional data enable core commercial processes including quoting, pricing, forecasting, and customer engagement.
• Drive use of data and AI to enhance revenue growth, profitability, and customer experience.
• Act as the primary data and AI leader for AFM and Commercial transformation initiatives.