Job Information
EPAM Systems Director, Data Analytics Consulting in Canada
If you are an AI builder who thrives on taking ideas from vision to whiteboard (or demo) to production — and enjoys collaborating within a larger team to shape the future of enterprise AI — this role is for you.
We are hiring Managers, Senior Managers, and Director-level professionals within our Data & AI Consulting Practice to own the full AI lifecycle: shaping end-to-end solutions during pre-sales, leading enterprise ML/GenAI programs into production, as well as work on building scalable, market-ready AI offerings. This is a hands-on leadership role for technologists who combine deep engineering capability with client engagement and commercial ownership, delivering measurable enterprise impact beyond proof-of-concept initiatives.
The recruiting efforts for this position are intended to fill an existing vacancy for a new position.
Req# 977184551
Responsibilities
Provide technical leadership and expertise in AI, which includes Generative AI, ML and Data Science, driving the design, development, and implementation of AI and AI Engineering solutions for clients
Connect across the organization to drive AI adoption in selected vertical, helping to envision new products, solutions, offerings, and other differentiators
Engage with clients during pre-sales cycle to understand their business challenges and effectively solution how AI and Data solutions can address them
Support sales / pre-sales activities by accessing Data opportunities, responding to RFPs, creating proposals and presentations
Collaborate with cross-functional teams to define projects scope, solution, develop datasets
Shape AI 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
Deliver high-quality AI solutions (use-cases, capabilities, platforms) on time and budget
Be AI Champion for 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
Requirements
Strong hands-on AI expertise. Track record in designing and implementing AI solutions to production. You understand different model architectures, quality metrics, ADLC, production vs. notebook delivery
Experience on AI operations side, track record of production AI delivery. Familiarity with one or more related offering from industry leaders GCP, AWS, Databricks, Azure, Salesforce
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
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
EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.