EPAM Systems

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

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C-Level / ManagerHybryda·PoznańFull-time

#431924·Dodano miesiąc temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

AI ConsultingRetailConsultingStakeholder Managementdata analyticsBusiness case development

Podsumowanie oferty

As a Data & AI Consultant in the Consumer & Retail practice, you will work with clients from discovery to implementation, focusing on advanced analytics and AI use cases. You will shape proposals, build business cases, lead workstreams, and bridge between senior clients and EPAM's engineering and data science teams. The role requires ensuring solutions deliver measurable value aligned to business objectives.

Wymagania

Deep Consumer & Retail expertise with measurable business impact in retail, CPG/FMCG, eCommerce, or wholesale
Consulting experience in structured problem-solving, stakeholder management, and executive communication
Data and AI literacy to define data requirements, KPIs, and translate between business and technical teams
End-to-end agile delivery experience from business case to adoption
Fluency with CPG data including syndicated and panel data (NIQ/Nielsen, Circana, Kantar), retailer POS and portal feeds
Comfortable with ambiguity and self-driven to drive outcomes

Nice to have:

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

Obowiązki

Shape pursuits and proposals: contribute to presales by defining problems, scoping approaches, and building EPAM’s value narrative
Lead client discovery: facilitate workshops to identify real problems and define good outcomes
Build business cases: identify, prioritise, and size data and AI use cases with KPIs and delivery roadmaps
Own workstreams end-to-end: manage requirements, backlog, data readiness, governance, and value tracking through adoption
Brief builders: collaborate with Data Engineers, Data Scientists, and Solution Architects to design scalable solutions
Produce executive-level materials and present recommendations to leadership
Apply domain expertise in pricing & promotions, merchandising, customer growth, demand & supply chain analytics
Utilize GenAI-enabled use cases such as commercial copilots, knowledge agents, and automation of analysis and reporting

Benefity

Hybrid work mode with opportunity to work remotely within Poland
Chance to work abroad up to 60 days annually
Business-driven relocation opportunities
Career development programs, mentoring, and certification (including Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay with participation in Employee Stock Purchase Plan with 15% discount
Benefits package including health insurance, multisport, 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

Opieka zdrowotna

Karta sportowa

Premie

Udziały pracownicze

Płatny urlop

Kursy językowe

Budżet konferencyjny

Dofinansowanie szkoleń

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

Inne informacje

By applying, candidates consent to personal data processing by EPAM Systems (Poland) for recruitment purposes according to the Privacy Policy. Benefits listed are available to employees only. Contractor terms for B2B cooperation are agreed individually. Only selected candidates will be contacted. Not open for hiring Ukrainians.

EPAM Systems

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