Establish strong collaborations with senior client stakeholders and internal account leads

Promote cooperative, value-driven methods to identify and resolve data challenges

Partner with Senior Leadership to develop account plans and strategies focused on data-driven growth

Discover data opportunities and support diverse analytics engagements to increase revenue in financial sector accounts

Act as principal consultant for leading complex data transformation initiatives

Create and contribute to strategic documents like mission statements, assessments, and roadmaps

Engage in pre-sales efforts including opportunity assessment, proposal creation, and deal support

Guide team development and assist strategic financial account management

Achieve revenue targets to deliver client value and foster business growth

Maintain billable utilization goals to optimize business performance

Support EPAM Data Practice initiatives related to people development

Minimum 8 years of relevant experience in data analytics or related areas

At least 3 years in leadership roles such as Lead, Manager, Owner, Architect, or Coordinator

Experience managing teams of 20 or more members for at least 2 years

Involvement in 5 or more full project cycles or launching key product features

Hands-on experience influencing design and technology choices for enterprise data platforms

Strong expertise in IT management consulting

Proven leadership in large data-driven programs and financial portfolio growth

Advanced skills in building data and analytics business development teams

Ability to manage complex tech initiatives and communicate with senior business and IT stakeholders

Knowledge of banking, trading, and data aggregation processes

Familiarity with pre-sales activities and procedures

Skill in developing client relationships and facilitating strategy formulation

Experience with current data analytics trends

Comfort with customer interaction and expectation management at senior levels

Ability to operate strategically while engaging with project details

Advanced proficiency in English, written and spoken

Certifications in data analytics or related disciplines