Personal Health Customer Analytics Lead

Personal Health Customer Analytics Lead

We are looking for a highly strategic and data‑driven Customer Analytics Lead to lead Philips Personal Health's customer analytics agenda globally. This role will be responsible for transforming customer data into actionable commercial insights, driving AI‑powered analytics, and building the next generation of customer intelligence capabilities. The role sits within the Commercial Analytics organization and owns the end‑to‑end customer analytics ecosystem, including customer point‑of‑sale (POS) data, retailer analytics platforms, customer performance measurement, and AI‑driven decision support tools.

Define and execute the Personal Health Customer Analytics strategy globally. Establish a unified vision for customer data, analytics, AI, and insights across all regions and business units. Partner with Commercial, Sales, Marketing, RGM, Finance, and Digital teams to drive customer‑centric decision making. Lead a global team of analytics professionals and external partners.

Own the customer analytics data ecosystem, including:

• Sell‑out and POS data
• Customer inventory and stock data
• Assortment and distribution metrics
• Digital shelf and e‑commerce performance data
• Baskets and shopper behavior data
• Customer profitability and commercial performance data

Drive integration of customer data into a centralized analytics environment. Establish data governance, quality, and standardization processes.

Own and continuously evolve Philips customer analytics platforms, including:

• Retailer Sell‑out Dashboard (RSD)
• CO‑PAD (Customer Performance Analytics Dashboard)
• Customer One
• Top Customer Performance Reporting
• Customer Scorecards and Performance Tracking Solutions

Define product roadmaps and drive user adoption globally. Ensure analytics solutions deliver measurable business impact.

Lead the application of AI, Machine Learning, and GenAI within customer analytics. Build AI‑powered customer intelligence capabilities that:

• Identify growth opportunities
• Explain customer performance drivers
• Predict risks and opportunities
• Generate automated insights and recommendations
• Support scenario planning and forecasting
• Develop customer‑focused AI agents and copilots leveraging Philips commercial data assets

Translate data into actionable recommendations for customer teams and leadership. Lead deep‑down analyses on:

• Customer performance
• Market share drivers
• Distribution and assortment opportunities
• Promotion effectiveness
• E‑commerce growth opportunities
• Customer profitability

Support Joint Business Planning and customer growth strategies through analytics and insights.

Act as the primary analytics partner to senior commercial leadership. Influence decisions across regions, business units, and customer teams. Communicate complex analytics findings in a simple and compelling way to executive audiences.

10+ years of experience in Analytics, Commercial Excellence, Revenue Growth Management, Customer Insights, Data Science, or related fields. Strong experience working with customer, retailer, POS, e‑commerce, or commercial datasets. Experience leading global teams and complex analytics programs. Experience in FMCG, Consumer Health, Consumer Electronics, Retail, E‑commerce, or Consulting environments is preferred.

Strong expertise in:

• SQL
• Python
• Power BI
• Databricks
• Azure Data Platforms

Hands‑on experience with AI, Machine Learning, and GenAI applications. Strong understanding of statistical analysis, forecasting, driver analytics, and commercial performance measurement. Experience building scalable analytics products and data solutions.

Strong strategic thinking and problem‑solving capabilities. Ability to influence senior stakeholders globally. Excellent communication and storytelling skills. Ability to operate effectively in a highly matrixed global environment. Passion for innovation and transforming analytics through AI.