RGM Analytics Lead

Job Title

Job Description

Ready to shape the future of commercial decision-making at Philips In this role you will help drive profitable growth in Personal Health by combining Revenue Growth Management commercial strategy data science and AI-enabled decision support.

You will lead analytics for key RGM levers including pricing price-pack architecture pocket price waterfall / gross-to-net promotions trade spend portfolio mix bundling and retailer sell-in pricing. The role sits at the intersection of business and analytics: turning consumer shopper retailer competitor and financial data into recommendations that improve price realization margin promotion ROI and growth.

It is an RGM leadership role with a strong data AI and analytics angle. You will be expected to frame the right commercial questions work closely with Data Science Analytics IT Sales Marketing and Finance teams validate model outputs and embed data-enabled recommendations into practical business workflows.

Your role:

• Own and drive the end-to-end RGM analytics agenda across pricing price-pack architecture promotions trade spend portfolio mix bundling and retailer sell-in pricing.

• Build transparent pocket price waterfall / gross-to-net views across list price invoice price discounts rebates trade terms promo funding net price and margin.

• Shape product pricing strategies price ladders price-pack architecture channel packs retailer-exclusive offers and bundling opportunities for Personal Health categories.

• Use advanced analytics and AI/ML techniques to improve pricing decisions demand forecasting price elasticity understanding promotion ROI incrementality cannibalization analysis and scenario simulations.

• Partner with Data Science and Analytics teams to translate RGM problems into model requirements business rules test cases success metrics and decision workflows.

• Support the development of AI-enabled decision tools such as price waterfall cockpits PPA simulators promo ROI advisors bundle simulators and self-serve insight assistants.

• Leverage GenAI and conversational analytics to accelerate insight generation executive summaries market signal synthesis and adoption of self-serve decision support.

• Design dashboards scorecards and decision-first views in tools such as Power BI Qlik Tableau or similar platforms ensuring insights are simple actionable and business-ready.

• Partner with Sales Marketing Finance Category E-commerce Analytics IT and regional teams to embed RGM recommendations into planning business reviews customer discussions and execution routines.

• Build scalable frameworks governance guardrails playbooks and learning loops to improve consistency of RGM decisions across markets and channels.

• Champion responsible human-in-the-loop use of AI ensuring transparency explainability privacy business accountability and appropriate challenge of model outputs.

Youre the right fit if:

• You have 10 years of experience across Revenue Growth Management Pricing Commercial Strategy Trade Marketing Sales Finance Category Management Commercial Analytics Data Science or related roles.

• You bring strong RGM fundamentals across pricing price-pack architecture promotions trade spend portfolio mix gross-to-net / pocket price waterfall and retailer or customer profitability.

• You have hands-on or close working experience with analytics models in areas such as price elasticity demand forecasting promotional uplift incrementality optimization scenario planning or commercial analytics.

• You are comfortable working with large commercial datasets such as sell-in sell-out / POS pricing promotions trade terms customer margin e-commerce pricing competitor pricing and market share data.

• You can translate business problems into data science requirements define business logic guide feature selection review model outputs challenge assumptions and convert findings into commercial action.

• You have strong analytical and technical fluency ideally including advanced Excel SQL and exposure to Python or R; experience with Power BI Qlik Tableau or similar BI tools is expected.

• You are familiar with AI/ML concepts and know when to use predictive models optimization simulations GenAI automation or dashboards for different RGM use cases.

• You can communicate complex analytics and AI outputs in a simple business-relevant way for senior stakeholders and cross-functional teams.

• You have experience collaborating with Sales Marketing Finance Analytics IT and Data Science teams to drive adoption of tools models and new ways of working.

• You combine commercial judgment with data-driven thinking and can make recommendations even when data is incomplete or imperfect.

Preferred experience:

• Experience in consumer goods consumer health personal care beauty grooming oral care small appliances retail or e-commerce.

• Experience with AI-enabled RGM tools pricing engines promotion optimization trade promotion optimization scenario simulators or GenAI copilots.

• Exposure to Azure Data Lake Databricks Lakehouse architecture semantic models data governance or reusable data products.

• Understanding of syndicated market data retailer portals POS data e-commerce price tracking customer P&L or competitor pricing datasets.

• Bachelors or Masters degree in Business Economics Finance Marketing Engineering Data Science Statistics Mathematics Computer Science or a related field; MBA or advanced analytics qualification is a plus.

How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the companys facilities.
Field roles are most effectively done outside of the companys main facilities generally at the customers or suppliers locations.
This role is an office role.

#Personal Health

About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.

• Discover our rich and exciting history.

• Learn more about our purpose.

If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.