Data & AI Consultant, Revenue Growth Management (RGM), Consumer Industries

Location: Jersey City; Branford; Atlanta; Chicago; New York; USAWork type: RemoteSeniority: DirectorPrimary skill: Technology ConsultingPosted: 2026-09-29We are seeking a Data & AI Consultant to join our team and help clients across CPG, retail, restaurants and QSR, travel and hospitality turn data into business outcomes. In this role, you will combine strong data and analytics solution design capability with deep knowledge of pricing, promotion, merchandising, and trade spend to define the strategies and architectures that power revenue growth management decisions.Req.#1090631748ResponsibilitiesPartner with clients to understand business objectives, challenges, and data requirements across pricing, promotion, assortment, and trade spend, and translate them into data and analytics solution designsDefine data and AI strategies and roadmaps for revenue growth management, merchandising, and trade promotion analyticsDesign analytics solution architectures spanning POS/scanner, syndicated panel, loyalty, and trade data from providers such as NielsenIQ, Circana, etc.Define modeling approaches for price elasticity, promotion lift and ROI, demand forecasting, and assortment optimization, and guide data science teams through implementationAnalyze CPG, consumer, market, and sales data to synthesize findings into clear, actionable insights and recommendationsShape analytics solution designs that make pricing, promotion, and merchandising insights usable by client teamsIdentify opportunities to apply advanced analytics and AI/ML to accelerate insight generation on commercial dataCreate and deliver clear technical and business presentations that communicate complex analytical results and recommended solutionsCollaborate with data engineers, data scientists, and client commercial teams to guide delivery of end-to-end analytics solutionsRequirementsStrong experience in data and analytics consulting with the ability to design solutions and guide technical teams (working knowledge of SQL and Python or R)In-depth understanding of commercial functions (pricing, promotion, merchandising, trade terms) in at least one consumer industry, with the ability to extend that expertise across adjacent sectorsProven ability to define data and analytics solution architectures and translate business problems into technical approachesExperience with syndicated data providers (NielsenIQ, Circana, Numerator, dunnhumby, 84.51, SPINS) and/or RGM or trade promotion platforms (Vistex, o9, Blue Yonder, Revionics, PROS) highly desirableExperience applying AI to commercial analytics use casesFamiliarity with cloud data platforms (Databricks, Snowflake, AWS, Azure, or GCP)Strong communication and stakeholder management skills, able to translate technical analysis and strategy for business audiencesNice to haveExposure to marketing mix modeling or causal inference/elasticity modelingWe offerMedical, Dental and Vision Insurance (Subsidized)Health Savings AccountFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)Short-Term and Long-Term Disability (Company Provided)Life and AD&D Insurance (Company Provided)Employee Assistance ProgramUnlimited access to LinkedIn learning solutionsMatched 401(k) Retirement Savings PlanPaid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)Paid Holidays - nine (9) total per yearLegal Plan and Identity Theft ProtectionAccident InsuranceEmployee DiscountsPet InsuranceEmployee Stock Purchase ProgramIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program