Data & Insights Manager

Accountabilities

• Lead the North America Data & Insights strategy and team, aligning regional priorities with global data and AI initiatives.
• Drive delivery of scalable Data, Analytics, AI, and Data Mesh solutions that create measurable business value.
• Partner with business leaders and IT stakeholders to identify opportunities, prioritize initiatives, and translate business needs into impactful data solutions.
• Lead Data Mesh implementation, Data Governance, and AI transformation efforts across North America.
• Build, mentor, and lead high-performing internal teams and external delivery partners in an Agile environment.
• Manage the North America Data & Insights budget while ensuring successful execution of strategic initiatives.
• Represent North America on the Global Commercial Data & Insights Leadership Team, contributing to enterprise-wide data strategy and innovation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Analytics, Informatics, or a related field.
• 8+ years of experience leading Data & Insights, Analytics, or Commercial Technology teams, such as at least 5 years supporting commercial business functions.
• Experience developing and implementing Data Strategy, Data Governance, Data Mesh, AI Transformation, and Analytics solutions.
• Experience with Databricks, Qlik, SAP, and Salesforce.com is a plus.
• Strong knowledge of cloud-based data platforms, AI tools, data engineering, visualization, and modern analytics technologies.
• Experience leading Agile/Scrum product delivery teams in a complex matrix organization.
• Proven ability to translate business requirements into scalable data products and actionable insights.
• Experience managing cross-functional stakeholders, vendor partnerships, and enterprise technology initiatives.
• Excellent communication, leadership, and relationship-building skills, with the ability to influence senior business leaders.
• Desired Experience: serving as a Product Owner or Scrum Master, experience with Business Process Management and Data Catalog initiatives, Knowledge of DevOps operating models and self-service analytics platforms, Experience leading global or multi-regional data transformation programs.