Manager, GS Customer Insights & Analytics

About the role

Johnson & Johnson Global Services (GS) is looking for a Manager, GS Customer Insights & Analytics in Taguig, Philippines. The role leads an end-to-end capability that turns complex customer, sales, pricing, contract, market and operational data into clear, actionable insights for MedTech and other business sectors. It sits within the Data Transformation & Business Intelligence team, which turns data into decisions.

Key responsibilities

• Set the strategic direction, operating model, roadmap and talent agenda for the capability, and work with MedTech Commercial, Finance, Data & AI, IT and Global Services leaders.
• Lead and develop a multidisciplinary team across analytics, business intelligence, automation and data operations, including hiring, performance management and succession planning.
• Translate business challenges into analytical requirements, roadmaps and success measures, and prioritize demand by strategic alignment, customer value and business impact.
• Build trusted commercial insights from customer, sales, pricing, contract, product, market, supply, inventory and operational data, and turn complex findings into clear recommendations and executive narratives.
• Establish analytical methodologies, business rules, assumptions and controls so outputs are accurate, explainable and reproducible.
• Act as a strategic partner to Commercial, Finance, Sales, Contract Management, Supply Chain, Digital, Data & AI and IT stakeholders, running discovery sessions, design reviews and value-realization discussions.
• Identify opportunities to expand the capability across businesses, regions and customer segments through scalable, reusable solutions.
• Define and monitor KPIs such as revenue enabled, sales growth, adoption, productivity and data quality, and report on progress and business impact.

Required profile

• Bachelor's degree in data science, business analytics, information systems, engineering, finance or a related discipline; an advanced degree or professional certification is an advantage.
• Demonstrated experience leading analytics, business intelligence, automation or data-transformation initiatives with measurable business outcomes.
• Experience leading and developing multidisciplinary teams and building an inclusive culture.
• Strong commercial acumen; experience in MedTech, healthcare, life sciences or another complex, highly regulated industry is preferred.
• Track record of turning ambiguous business challenges and complex data into clear insights and scalable solutions.

Required skills

• Working knowledge of data visualization, advanced analytics, automation, data governance and modern data platforms.
• Familiarity with AI-enabled solutions is an advantage.
• Strong stakeholder management and executive communication skills.