Data Analytics Principal/Director - Financial Services

Job summary

Partner with senior financial services executives on data and AI strategy, enterprise platform enablement, and transformation initiatives, while leading strategic proposals and pursuits. Manage the Canadian Financial Services portfolio, establish and govern strategic engagements, build long-term client relationships, and mentor consultants.

Job details

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. Req# 1093775223 The recruiting efforts for this position are intended to fill an existing vacancy for a new position. 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) We offer Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid) Life and AD&D Insurance (Company Paid) Employee Assistance Program (Company Paid) Telehealth (Company Paid) Short-term Disability (Company Paid) Long-Term Disability Paid Time Off (including vacation and sick days) Registered Retirement Savings Plan (RRSP) with Company match Maternity/Parental/Adoption Leave Top-up Employee Stock Purchase Program Critical Illness Insurance Employee Discounts Unlimited access to LinkedIn learning solutions An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management. EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Engineer the Future with a Career at EPAM

What you’ll do

Partner with senior financial services executives on data and AI strategy, enterprise platform enablement, and transformation initiatives, while leading strategic proposals and pursuits. Manage the Canadian Financial Services portfolio, establish and govern strategic engagements, build long-term client relationships, and mentor consultants.

Requirements

Requires 15 or more years of progressive data technology and consulting experience, including senior management experience and a record of advising C-level clients. Candidates should bring banking domain expertise, hands-on experience with cloud platforms—especially Databricks and Azure—and knowledge of enterprise data architecture, governance, banking regulations, and relevant compliance frameworks; a quantitative or technology-related degree is highly valued.

Benefits

• Extended Healthcare
• Prescription Drug Coverage
• Dental Insurance
• Vision Insurance
• Healthcare Spending Account
• Life Insurance
• Accidental Death And Dismemberment Insurance
• Employee Assistance Program
• Telehealth
• Short-Term Disability Insurance
• Long-Term Disability Insurance
• Paid Time Off
• Registered Retirement Savings Plan With Company Match
• Maternity, Parental, And Adoption Leave Top-Up
• Employee Stock Purchase Program
• Critical Illness Insurance
• Employee Discounts
• LinkedIn Learning Access

Listed skills

• Microsoft Azure · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Strategy
• Artificial Intelligence Transformation
• Data Architecture
• Data Governance
• Cloud Platforms
• Databricks
• Microsoft Azure
• Banking
• Investment Banking
• Core Banking
• Basel II And III
• BCBS 239
• Anti-Money Laundering Compliance
• Data Catalogs
• Data Observability
• Executive Consulting

Job areas

• Data & Analytics
• Management & Leadership
• Consulting
• Finance & Accounting
• Technology

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