Overview

We are seeking a Senior Director, Data Analytics to lead our data-driven transformation and AI initiatives. In this role, you will drive the design, development, and implementation of advanced ML/AI solutions for clients, foster cross-functional collaboration, and shape the strategic direction of our analytics practice.

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

Req.#932887109

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
  • Leverage your technical expertise and engage 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 an 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 accessing 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 selling 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 analyze 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

Canada (Full-Time)

  • 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

[epamgdo] Canada (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 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

[epamgdo] Canada (Salary+Remote)

This posting includes a 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: CA$180,000-CA$240,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

[epamgdo] Canada (Accommodations For Individuals With Disabilities)

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.

[epamgdo] Canada (AI-Remote)

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.