Data Analytics Principal/Director - Financial Services

About the role

We are seeking an exceptional Data Analytics Principal/Director to serve as a trusted partner to senior client executives in Financial Services organizations. This role combines deep data and AI technology knowledge, strong consulting acumen, and proven financial domain experience. You will lead our Financial Services Offering portfolio in Canada, promoting and selling EPAM data expertise in the region. If you can guide senior executives through complex data and AI transformational initiatives, this role is ideal for you. This Remote Position Cannot be Performed in New York City.

Responsibilities

• Partner with C-level executives on strategic Data and AI initiatives, including data strategy, enterprise-wide platform enablement, and AI transformations
• Own RFP/RFQ/RFI responses and lead strategic pursuits, including winning strategy development and client storytelling
• Manage the Financial Services project portfolio and build long-term client relationships centered on value delivery
• Lead initial phases of strategic engagements: establish program vision, define success criteria, form teams, and establish governance
• Coach and mentor next-generation consultants in Financial Services Data and Analytics

Requirements

• 15+ years of progressive experience in data technology and consulting, with prior management roles (Senior Manager/Director) at financial institutions or consulting firms supporting financial services clients
• Proven C-level consulting expertise with ability to function as a trusted advisor; hands-on experience with major cloud providers and prominent data ecosystem tools, with emphasis on Databricks and Azure.
• Demonstrated experience in banking (investment or core banking) with deep understanding of data models, processing systems, regulations, and key banking KPIs; knowledge of Basel 2/3, BCBS 239, AML/AFC compliance frameworks
• Strong grasp of data architecture, governance principles, data catalogs, observability frameworks, and ability to lead technical discussions at enterprise scale
• Degree in Computer Science, Information Technology, Applied Mathematics, or similar quantitative field (highly valued)

Benefits

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

Pay

Salary range: $220,000 - $240,000.