We are looking for a Senior Manager Business Analytics Consultant to serve as the primary relationship point of contact for the client's business and data stakeholders across Romania the Czech Republic Serbia Belgium and Greece. This role is focused on building and nurturing trusted relationships across multiple countries and cultures understanding local business priorities and translating them into Data & AI opportunities. The consultant will act as a strategic advisor account growth driver and bridge between the client's regional stakeholders and our specialist delivery teams. This is not a hands-on technical delivery role. The consultant must however possess sufficient understanding of Data & AI concepts to engage credibly with both business and technical audiences and to identify where value can be created. The remote work option is available to candidates residing and working within the Czech Republic. Responsibilities Build and maintain trusted relationships with the client's business data and technology stakeholders across Romania the Czech Republic Serbia Belgium and Greece Understand local business contexts priorities challenges and cultural nuances in each country to ensure relevance and alignment of proposed solutions Identify and shape Data & AI opportunities by proactively engaging stakeholders uncovering pain points and connecting them to potential solutions Translate business needs into clear opportunity briefs articulating value scope risks dependencies and recommended next steps for internal and client audiences Act as a trusted advisor to regional stakeholders providing continuity and a consistent point of contact across the account Support business development activities including proposals estimations workshops presentations and stakeholder alignment sessions across the five countries Coordinate with delivery and specialist teams mobilizing the right expertise when opportunities progress from concept to implementation Maintain continuity and momentum from initial conversation through opportunity shaping validation and handover to delivery Grow the Data & AI opportunity pipeline across the five countries contributing directly to account revenue and strategic expansion Navigate multi-country complexity managing differing timelines priorities decision-making structures and stakeholder expectations across regions Requirements Several years of experience in client-facing and stakeholder-management roles with a proven ability to build trust and credibility at multiple levels of an organization Strong commercial mindset with demonstrated experience identifying shaping and progressing new business opportunities within existing accounts Effective communication skills able to engage confidently with both senior business leaders and technical teams translating between the two Structured and proactive working style capable of managing multiple parallel relationships and opportunities across geographies without losing quality or momentum Familiarity with the Databricks ecosystem including Databricks Spark and SQL along with Delta Lake and Unity Catalog and an understanding of what they enable and where they fit in a modern data platform Familiarity with AI and GenAI concepts including Generative AI Retrieval-Augmented Generation (RAG) and MLflow along with common AI solution patterns and the ability to discuss use cases and value Understanding of data architecture and integration including data architecture principles data integration patterns and cloud infrastructure and data security Awareness of data governance frameworks policies and data quality management along with data lineage cataloging and stewardship practices English proficiency at B2 level or higher Nice to have Experience in retail consumer goods supply chain eCommerce or loyalty sectors ideally within multi-country or multi-brand environments Proven track record of growing Data & AI services within a strategic account particularly across multiple business units or geographies Experience working with or within international retail groups with decentralized or federated operating models Familiarity with the business applications of Data & AI such as customer analytics and supply chain We offer Opportunity to work in a fast-paced agile software engineering culture Comfortable modern office in Prague 7 with support of hybrid or fully remote mode Benefit program (5 weeks of vacation paid sick days paid days off for special occasions meal vouchers flexi pass Prague city public transport annual coupon multisport cards optional contribution to pension fund health insurance for family member) EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements) English language courses Czech language courses upon request Referral bonuses for recommended candidates Mobile Phone Tariff’s program for managerial-level candidates Great learning and development opportunities including in-house professional training career advisory and coaching sponsored professional certifications well-being programs LinkedIn Learning Solutions and much more Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period.