Overview You drive VF's data, analytics, and AI strategy to create measurable business impact across consumer, product, and supply chain domains. In a federated environment, you set enterprise standards, governance, and scalable capabilities that align with brands and regions. You lead a global data & analytics organization to embed data-driven thinking into core processes and decision-making. You champion responsible AI and translate emerging tech into practical, scalable solutions for sustainable value. This role offers strategic influence, high-scale impact, and the opportunity to shape VF's data-driven future.
Compensation / Benefits- Long-Term Incentive Plan
- annual incentive plan
- commission potential
- global collaboration
- professional development opportunities
Responsibilities- Define and execute the enterprise Data & Analytics strategy across data management, AI-powered data engineering, governance, platforms, advanced analytics, and data science with measurable value.
- Build and scale a global data science and AI practice spanning predictive/prescriptive modeling, ML, experimentation, decision intelligence, and generative/agentic AI, delivering measurable outcomes.
- Industrialize AI-driven insights via LLMs and self-service analytics, embedding trusted insights into business processes and decision-making.
- Drive adoption of data and analytics by translating insights into clear narratives and embedding analytics into core workflows.
- Partner with leaders to curate a value-driven portfolio of use cases, prioritizing high-impact opportunities and ROI.
- Modernize and scale AI-powered data engineering and DataOps with automated pipelines, data quality, metadata, and cataloging for reusable data products.
- Deliver enterprise-grade data and AI architecture, including MLOps/LLMOps, platforms, models, and visualization with a prioritized roadmap.
- Establish standards across the data/AI lifecycle, governance, security, and responsible AI to ensure scalable, resilient capabilities.
- Lead, mentor, and scale a global multidisciplinary team, shaping operating models and ways of working.
- Act as a trusted advisor to senior stakeholders, promoting data- and AI-driven decision-making across brands and functions.
Key requirements- 15+ years in technology with 8+ years leading enterprise Data, Analytics, and AI functions, delivering strategy and measurable outcomes.
- Deep expertise in data science, ML, statistical modeling, experimentation, and decision intelligence with experience operationalizing models via MLOps.
- Experience industrializing generative/agentic AI, including LLMs and LLMOps, to deliver scalable insights.
- Experience designing and scaling modern data platforms and AI-powered data engineering (lakehouse, streaming, DataOps) through high-performing teams.
- Proven ability to operationalize insights via KPIs, dashboards, and embedded, self-service, and conversational analytics.
- Strong architecture leadership with target architectures and roadmaps across data platforms, models, and visualization.
- Expertise in data governance, security, cataloging, lineage, and responsible AI with hands-on tooling.
- Experience leading cloud-based data/AI ecosystems (Azure, AWS, GCP, Databricks, Snowflake) and BI platforms (Power BI, Tableau, Looker).
- Proven success building and leading globally distributed teams and influencing senior stakeholders.
- Experience guiding vendor selection and platform investment decisions; consumer products industry experience preferred.
- strong business partnership
- influencing senior stakeholders
- strategic storytelling
- data governance and security
- MLOps/LLMOps
- AI/ML modeling and experimentation
