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Director, Cloud, Data and AI
🚀 Data & AI | Cloud Data Architecture | Enterprise Solutions Data & AI leader with 15+ years of expertise in AI, data architecture, and cloud technologies, specializing in building scalable AI systems and architectures. Holding an Honours B.Math from the University of Waterloo, an MBA from Syracuse University, and a CPA designation, I combine strong academic foundations with hands-on experience leading large scale data and AI initiatives. 🔹 AI Expertise: Extensive experience in Generative AI, Natural Language Processing (NLP), and AI-enabled workflows, with a focus on developing solutions that move beyond POCs to achieve production-grade, scalable deployments across Azure, Google Cloud, and AWS. 🔹 Data Architecture: Expertise in multi-model data structures, Apache Hive, HQL, and Databricks, designing scalable cloud architectures and self-service data platforms. 🔹 Data Strategy: Skilled in aligning data and AI strategy with organizational goals. Experienced in data governance using platforms such as Collibra, ensuring data quality, compliance, and security across the enterprise. 🔹 Sales: Led Go-to-Market strategies, growing pipelines to $120M+ and generating $20M+ in deal flow. 🔹 Delivery: Led multi-year, large-scale transformations in data migration to cloud, building AI models, and implementing data governance and data strategy across diverse industries. 🔹 Leadership: Held leadership roles at Deloitte and PwC, driving data and AI strategies for top organizations. A frequent speaker at industry conferences and firm events, sharing insights on AI trends and best practices. 🎓 Education & Certifications: Honours B.Math, University of Waterloo | MBA, Syracuse University Chartered Professional Accountant, CPA Ontario Google Cloud Architecture | Python (University of Michigan) Passionate about scaling AI solutions, modernizing cloud infrastructur
Syracuse University
Master of Business Administration (M.B.A.), Marketing
January 1, 2008 – January 1, 2010
University of Waterloo
Honours Mathematics
January 1, 1997 – January 1, 2002
Kyndryl
Consulting Director
June 1, 2025 – Present
Toronto, Ontario, Canada
PwC Canada
Consulting Director, Data & Analytics, PwC Canada
January 1, 2021 – January 1, 2024
Deloitte
Director, AI Insights, Omnia AI at Deloitte Canada
July 1, 2018 – January 1, 2020
Greater Toronto Area, Canada
PwC Canada
Consulting Director, Analytics at PwC Canada
January 1, 2015 – June 1, 2018
Toronto, Canada Area
Objectifi Inc
Decision Science Practice Lead
February 1, 2011 – January 1, 2015
Toronto, Canada Area
DundeeWealth Inc
Consultant
September 1, 2006 – March 1, 2009
Toronto, Canada Area
CIBC
Sr. Business Analyst
October 1, 2004 – February 1, 2006
Toronto, Canada Area
Oxegen Inc.
Technology Manager
October 1, 2002 – September 1, 2004
Toronto, ON
Python Functions, Files, and Dictionaries
Coursera
June 24, 2026 – Present
Python 3 Programming
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long and consistent career in high-pressure consulting environments, demonstrating adaptability and a results-oriented mindset. Their experience across multiple large consulting firms (Deloitte, PwC, Kyndryl) and diverse client engagements (Financial Services, Public Sector) suggests a strong ability to integrate into various organizational cultures and lead diverse teams. However, the target role of 'Data Analyst' might be a significant step down from their current and past 'Director' level leadership roles, potentially indicating a mismatch in career trajectory or expectations for a hands-on analytical role versus a strategic leadership one. The lack of specific project details for a Data Analyst role makes it difficult to assess direct cultural fit for a more individual contributor position.
Soft Skills & Operational Fit
The candidate's extensive consulting background indicates strong leadership, client management, strategic thinking, and program delivery skills. Their experience in shaping data and AI transformations from strategy through delivery, including defining governance and operating models, suggests a high operational fit for roles requiring both technical oversight and business acumen. The descriptions highlight abilities in stakeholder alignment, risk management, and value realization.