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Senior Director, Data Analytics Consulting at EPAM Systems

  • Full-time
  • Remote, Worldwide

Senior Director, Data Analytics Consulting

Responsibilities

  • Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients
  • Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators
  • Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
  • Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions
  • Leveraging your technical expertise and engaging senior decision-makers
  • Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase
  • Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
  • Engage client stakeholders, including executive / C-level, helping them drive enterprise-wide agenda to maximize AI adoption
  • Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
  • Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations

Skills

  • Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions
  • Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc
  • Solid understanding of ML algorithms, both classical and Deep Learning based
  • Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products
  • Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
  • Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships
  • Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
  • Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
  • Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience

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

Published about 5 hours ago • Expires October 20, 2025 06:22