Senior Director, Data Analytics Consulting - Remote Remote in Canada

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

Requirements

• 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

• Extended Healthcare with Prescription Drugs, Dental and Vision Insurance, and Healthcare Spending Account (Company Paid)
• Maternity/Parental/Adoption Leave Top-up
• Life and AD&D Insurance (Company Paid)
• Employee Assistance Program (Company Paid)
• Long-Term Disability
• Registered Retirement Savings Plan (RRSP) with company match
• Paid Time Off
• Critical Illness Insurance
• Employee Stock Purchase Program
• Employee Discounts
• Unlimited access to LinkedIn learning solutions

About EPAM

• EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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

Additional

• This posting includes a good base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training,; the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $190k - $220k. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position