Principal/Director, Data Analytics Consulting for Financial Services (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-25
💶 5600 - 8500 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-01
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Job description:
We are seeking an exceptional Data Analytics Principal/ Director to serve as a trusted partner to senior client executives (CTOs, CIOs, Managing Directors, Regional VPs) in Financial Services organizations. This role combines three critical capabilities: deep data and AI technology knowledge, strong consulting acumen, as well as a proven track record in program/delivery management. You will lead our Financial Services Offering portfolio in Europe, including buildout of capabilities, teams, and go-to-market strategies in partnership with other EPAM teams, and spearhead key engagements from a sales, consulting, and delivery oversight perspective.
If you can go beyond PowerPoint and guide senior executives through complex data transformation initiatives by deep-diving into their Enterprise IT & Data landscape and offering them optimal solutions, then this role is ideal for you!
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Partner with client executives on key Data & AI initiatives — data strategy, enterprise-wide platform builds, and AI transformation from use-case selection through to production and adoption
Actively contribute to the development and evolution of Financial Services D&A offerings, act as a go-to person in the region
Nurture opportunities; own RFP/RFQ/RFI responses including winning strategy, formal response structure, and storytelling
Manage FS project portfolio, provide regular delivery oversight for key engagements
Build and maintain long-term client relationships centered around value delivery
Lead initial phases of strategic engagements, including setting up program vision and definition of success, forming the right team, and establishing governance
Consult delivery teams on regulatory and compliance requirements in the financial sector context, including the controls and evidence AI-enabled solutions must satisfy
Coach and mentor next-gen consultants in FS D&A
Requirements:
15+ years of experience in data, analytics, and technology consulting, including leadership roles (Senior Manager, Director, or equivalent) within consulting firms, financial institutions, or advisory organizations
Proven ability to lead large-scale data and AI transformation programs and act as a trusted advisor to C-level stakeholders
Degree in Computer Science, Information Technology, Applied Mathematics, or related field preferred
German language skills are a strong plus
Deep understanding of banking and financial services, including data models, processing systems, operating models, and key business KPIs
Knowledge of relevant regulatory and compliance frameworks, including Basel 3.1 / CRR3, BCBS239, AML/AFC, DORA, EU AI Act, and model risk management
Expertise in modern data platforms, with implementation experience in AWS, Azure, or GCP environments
Familiarity with Databricks and other enterprise data…
We are seeking an exceptional Data Analytics Principal/ Director to serve as a trusted partner to senior client executives (CTOs, CIOs, Managing Directors, Regional VPs) in Financial Services organizations. This role combines three critical capabilities: deep data and AI technology knowledge, strong consulting acumen, as well as a proven track record in program/delivery management. You will lead our Financial Services Offering portfolio in Europe, including buildout of capabilities, teams, and go-to-market strategies in partnership with other EPAM teams, and spearhead key engagements from a sales, consulting, and delivery oversight perspective.
If you can go beyond PowerPoint and guide senior executives through complex data transformation initiatives by deep-diving into their Enterprise IT & Data landscape and offering them optimal solutions, then this role is ideal for you!
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Partner with client executives on key Data & AI initiatives — data strategy, enterprise-wide platform builds, and AI transformation from use-case selection through to production and adoption
Actively contribute to the development and evolution of Financial Services D&A offerings, act as a go-to person in the region
Nurture opportunities; own RFP/RFQ/RFI responses including winning strategy, formal response structure, and storytelling
Manage FS project portfolio, provide regular delivery oversight for key engagements
Build and maintain long-term client relationships centered around value delivery
Lead initial phases of strategic engagements, including setting up program vision and definition of success, forming the right team, and establishing governance
Consult delivery teams on regulatory and compliance requirements in the financial sector context, including the controls and evidence AI-enabled solutions must satisfy
Coach and mentor next-gen consultants in FS D&A
Requirements:
15+ years of experience in data, analytics, and technology consulting, including leadership roles (Senior Manager, Director, or equivalent) within consulting firms, financial institutions, or advisory organizations
Proven ability to lead large-scale data and AI transformation programs and act as a trusted advisor to C-level stakeholders
Degree in Computer Science, Information Technology, Applied Mathematics, or related field preferred
German language skills are a strong plus
Deep understanding of banking and financial services, including data models, processing systems, operating models, and key business KPIs
Knowledge of relevant regulatory and compliance frameworks, including Basel 3.1 / CRR3, BCBS239, AML/AFC, DORA, EU AI Act, and model risk management
Expertise in modern data platforms, with implementation experience in AWS, Azure, or GCP environments
Familiarity with Databricks and other enterprise data…