We are seeking an accomplished Managing Principal, Data Analytics Consulting, to join our leadership team. This is a high-impact, client-facing role designed for an ambitious professional with deep technical expertise in AI & Data, proven consulting acumen, and a track record of driving transformational outcomes for enterprise clients.
Req# 1018189758
Responsibilities
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Serve as a trusted strategic advisor to senior executives (VP, SVP, C-suite) on AI enablement, data-driven transformation, and operational efficiency for Fortune 500/50 clients
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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
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Bridging strong AI and technology expertise with business acumen to ensure effective alignment between technical solutions and strategic business goals
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Architect and lead complex, cross-functional AI and Data transformation initiatives including cloud-native data platforms, ML Ops/Data Ops, BI strategy, and GenAI/AI strategy
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Own and grow a multi-million-dollar engagement portfolio ($20M+ annually) through thought leadership, cross-capability solutioning, and executive relationship building
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Define and manage key operational metrics including margin, utilization, bill rate, and client experience
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Develop compelling POVs and thought leadership that drive incremental sales opportunities and market differentiation
Requirements
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10+ years in AI/ML, Data, and Analytics consulting with demonstrated career progression, including 5+ years leading multi-disciplinary teams of 15+ consultants
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Deep technical expertise in AI & Data including cloud platforms (AWS, Azure, GCP), ML/ML Ops, Data Ops, BI platforms, Generative AI, and big data solutions (Python, Spark, SQL)
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Track record managing engagement portfolios of $10M+ annually with proven solutioning and selling capabilities
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Experience advising, presenting to, and building relationships with C-suite and SVP-level executives across multiple industry verticals
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Industry expertise across sectors such as Retail, Life Sciences, Financial Services, Telecommunications, Manufacturing, Energy & Utilities, or Technology
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Outcome-focused leader with executive presence, strong communication skills, and passion for solving complex problems while holding self and teams accountable
We offer
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Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
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Life and AD&D Insurance (Company Paid)
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Employee Assistance Program (Company Paid)
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Telehealth (Company Paid)
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Short-term Disability (Company Paid)
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Long-Term Disability
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Paid Time Off (including vacation and sick days)
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Registered Retirement Savings Plan (RRSP) with Company match
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Maternity/Parental/Adoption Leave Top-up
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Employee Stock Purchase Program
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Critical Illness Insurance
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Employee Discounts
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Unlimited access to LinkedIn learning solutions
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
EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] 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.
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.