EPAM Systems

Data & AI Consulting Manager / Senior Manager in Consumer & Retail

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C-Level / ManagerHybryda·KatowiceFull-time

#431925·Dodano miesiąc temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

ConsultingRetaildata analyticsStakeholder ManagementBusiness case developmentAgile

Podsumowanie oferty

As a Data & AI Consultant within the Consumer & Retail practice, you will work from initial discovery through implementation, focusing on advanced analytics and AI use cases such as forecasting and pricing modelling. You will bridge business and technical teams to ensure solutions deliver measurable value. The role involves shaping proposals, leading workstreams, and engaging with senior client stakeholders.

Wymagania

Deep expertise in Consumer & Retail industry or sustained consulting experience with retailers, CPG/FMCG, eCommerce, or wholesale.
Consulting skills including structured problem-solving, stakeholder management, workshop facilitation, and executive communication.
Data and AI literacy with ability to define data requirements and KPIs and communicate between business and technical audiences.
End-to-end agile delivery experience from problem framing to delivery and adoption.
Fluent in CPG data landscape including syndicated and panel data (e.g., NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds, distributor sell-out.
Comfortable working with ambiguity and taking ownership to drive outcomes.

Obowiązki

Shape pursuits and proposals by contributing to presales activities including problem definition and scoping.
Lead client discovery workshops with commercial, category, and supply chain leadership to identify real problems and define outcomes.
Build business cases by prioritizing data and AI use cases, defining KPIs, investment rationale, and delivery roadmaps.
Own the workstream end-to-end covering requirements, backlog management, data readiness, governance, and value tracking.
Collaborate closely with Data Engineers, Data Scientists, and Solution Architects to design scalable solutions.
Produce executive-level materials and present recommendations to leadership throughout engagements.
Specific use cases include elasticity modelling, trade spend optimisation, assortment optimisation, customer segmentation, demand forecasting, and GenAI-enabled use cases such as commercial copilots and automation of analysis.

Nice to have:

Familiarity with data cloud platforms like Databricks, Snowflake and hyperscalers such as Azure, GCP, or AWS.
Experience with advanced analytics or GenAI patterns including forecasting, recommendation engines, optimisation, LLMs, and RAG.
Hands-on exposure to hierarchical and time-series forecasting, econometric models, and causal inference.
Knowledge of enterprise platforms such as SAP, Salesforce, major ERP, and CRM systems.
Skills in change management and adoption.
Experience in data governance and quality frameworks.
Multi-market experience working across regional or global CPG models.

Benefity

Opportunity to work with top tech minds driving innovation in AI, cloud, and digital platform modernization.
Supportive team and agile culture.
Hybrid work mode with option to work remotely within Poland.
Chance to work abroad up to 60 days per year.
Business-driven relocation opportunities.
Career development programs and mentoring.
Certification opportunities including Anthropic, Gemini, GCP, Azure, AWS.
English language classes.
Stable pay with participation in Employee Stock Purchase Plan with 15% discount.
Benefits package covering health insurance, multisport, and shopping vouchers.
Referral bonuses up to $2,000.
Offices with entertainment and relaxation zones, table tennis, football, free snacks and coffee.
Corporate, social, and well-being events.

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Kursy językowe

Opieka zdrowotna

Karta sportowa

Premie

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Darmowe przekąski

Inne informacje

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice

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