Principal/ Director, Data Analytics Consulting for Financial Services

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. The company has over thirty years of expertise in custom software, product, and platform engineering, enabling clients to become AI-Native enterprises.

• 15+ years of experience in data, analytics, and technology consulting, including leadership roles within consulting firms, financial institutions, or advisory organizations.
• Proven ability to lead large-scale data and AI transformation programs and advise C-level stakeholders.
• Degree in Computer Science, Information Technology, Applied Mathematics, or related field preferred.
• Deep understanding of banking and financial services, including data models, processing systems, operating models, and business KPIs.
• Knowledge of regulatory and compliance frameworks such as Basel 3.1 / CRR3, BCBS239, AML/AFC, DORA, EU AI Act, and model risk management.
• Expertise in modern data platforms, with experience in AWS, Azure, or GCP environments.
• Familiarity with Databricks and other enterprise data platforms.
• Strong understanding of data architecture, data modelling, governance, lineage, observability, real-time processing, and enterprise-scale data management.
• Ability to translate business challenges into data and AI solutions and advise on strategy, feasibility, risks, and value realization.
• Experience with modern AI capabilities, including Machine Learning, RAG, Agentic Systems, and multimodal AI.
• Understanding AI governance, human oversight, explainability, auditability, and deployment in regulated environments.
• Experience leading discovery phases, defining governance frameworks, and delivering complex enterprise data programs.
• Ability to establish target operating models, drive stakeholder alignment, and oversee transformation initiative delivery.
• Strong fundamentals in computer science including algorithms, data structures, search technologies, and distributed systems.
• Advanced English proficiency (C1) with exceptional communication skills.
• German language skills strong plus (B1).

• Partner with client executives on key Data & AI initiatives, including data strategy, platform builds, and AI transformation.
• Contribute to the development and evolution of Financial Services Data & Analytics offerings and act as regional go-to person.
• Manage RFP/RFQ/RFI responses, including strategy, structure, and storytelling.
• Oversee Financial Services project portfolios and provide regular delivery oversight.
• Build and maintain long-term client relationships focused on value delivery.
• Lead initial phases of strategic engagements, including vision setup, team formation, and governance establishment.
• Consult delivery teams on regulatory and compliance requirements in financial sector context.
• Coach and mentor next-generation consultants in Financial Services Data & Analytics.

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