Opis oferty
$2k USD
Poland, Katowice
Data & AI Consulting Manager / Senior Manager in Consumer & Retail w Katowice, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
As a Data & AI Consultant within our Consumer & Retail practice, you will work with clients from initial discovery through to implementation. You'll help shape proposals, build business cases, lead workstreams, and act as the link between senior client stakeholders and EPAM's engineering and data science teams. Your focus will be on advanced analytics and AI use cases, including forecasting, pricing and elasticity modelling, attribution, and scenario simulations. While you won't develop the models yourself, you'll be responsible for ensuring the right solutions are designed, aligned to business objectives, and capable of delivering measurable value. You understand the Consumer & Retail industry: its commercial dynamics, margin pressures, operational challenges, and complex decision-making processes. You've seen data and AI initiatives fail to deliver, whether through strategies that never reached implementation, models that were never adopted, or dashboards that answered the wrong questions. You want to bridge the gap between business needs and practical solutions, working closely with technical teams to ensure ideas become outcomes. Responsibilities Shape pursuits and proposals: contribute to presales from the start — defining the problem, scoping the approach, and building EPAM’s value narrative for Consumer & Retail clientsLead client discovery: facilitate workshops with commercial, category and supply chain leadership, frame the real problem — not just the stated one — and define what a good outcome looks likeBuild the business case: identify, prioritise and size data and AI use cases; translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design scalable solutions — you define the what and why, they build the howTell the story: produce clear, executive-level materials and present recommendations to leadership throughout the engagementPricing & promotions: elasticity modelling, promotional effectiveness, trade spend optimisation, net revenue managementMerchandising & category: assortment optimisation, product performance, markdown and clearanceCustomer & growth: segmentation, CLV, churn/retention, personalisation, next-best-actionDemand & supply chain: demand forecasting and sensing, replenishment, availability and fulfilment analyticsGenAI-enabled use cases: commercial copilots for category managers and account managers, knowledge and insight agents, automation of analysis and reporting Requirements Deep Consumer & Retail expertise — whether built in-industry or through sustained consulting work with retailers, CPG/FMCG, eCommerce or wholesale clients — with concrete examples of measurable business impactConsulting experience: structured problem-solving, stakeholder management, workshop facilitation and executive-level communicationData and AI literate: able to define data requirements and KPIs, hold a substantive conversation with a data scientist or architect, and translate between business and technical audiencesEnd-to-end agile delivery experience: from problem framing and business case through to delivery and adoption into a recurring planning or commercial process, with a clear view of what worked and what didn’tFluent in CPG data landscape: syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out, and the practical experience working with themComfortable with ambiguity takes ownership and drives to outcomes without waiting to be told what the answer is Nice to have Familiarity with major data cloud platforms (Databricks, Snowflake) and hyperscalers (Azure, GCP or AWS) and how data and AI solutions are architected and deployed on themExperience with advanced analytics or GenAI patterns (forecasting, recommendation engines, optimisation, LLMs, RAG) in a Consumer & Retail contextHands-on exposure to the modelling families behind this work — hierarchical and time-series forecasting, econometric and elasticity models, optimisation, causal inference and incrementality testingKnowledge of enterprise platforms common in Consumer & Retail environments, such as SAP, Salesforce or major ERP and CRM systemsChange management and adoption skills: ensuring that solutions land and are actually used, not just deliveredExperience in data governance, data quality frameworks or target operating model design is a plus Multi-market experience — working across a regional or global CPG operating model, with the data and process differences that come with it We offer We gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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