RGM Analytics Lead

Job Title

RGM Analytics Lead

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.

You're 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.

• Bachelor’s or Master’s 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 company’s facilities.
Field roles are most effectively done outside of the company’s 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 won't 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 you’re 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.