Principal/Director, Data Analytics Consulting for Financial Services
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 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 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!
Responsibilities
- Partner with client executives on key Data & AI initiatives, such as data strategy, enterprise-wide platforms build, and AI transformations
- 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 the 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
- Coach and mentor next-gen consultants in FS D&A
Requirements
- 15+ years of progressive experience in data technology and consulting
- Prior experience in management roles (Senior manager / Director / Senior director) at financial institutions, consulting agencies, or similar advisory organizations supporting financial services clients
- A degree in Computer Science, Information Technology, Applied Mathematics, or similar quantitative fields is highly valued
- Client-facing expertise with the ability to position services, lead C-level discussions, and function as a trusted advisor to senior stakeholders
- Experience with at least one major cloud environment (AWS, Azure, GCP), including implementation track record. Familiarity with Databricks and other cloud-agnostic data platforms
- Production experience: Leading discovery phases, establishing program governance, and managing complex data delivery programs
- Proven experience in banking (investment banking or core banking) with an understanding of data models, processing systems, and regulations. Familiarity with key banking KPIs and data structures
- Knowledge of industry-specific compliance and regulatory frameworks (Basel 2/3, BCBS 239, AML/AFC); understanding of risk management, CRO office operations, etc.
- Understanding of data modelling, different data lifecycle management approaches, and real-time processing
- Understanding of data governance principles, computational governance, data catalogs, and observability frameworks
- Demonstrated ability to lead technical discussions on an enterprise scale with senior stakeholders
- Solid knowledge of information theory, algorithms, data structures, search algorithms, etc.
- English level of minimum B2 (Upper-Intermediate) for effective communication
