DAMA-Vancouver BC

Upcoming events

    • 2026-03-26
    • 8:30 AM - 4:00 PM
    • Deloitte Summit Building - 410 West Georgia Street, Vancouver
    • 73
    Register

      Introduction to Data Foundations: From Messy Data to Scalable Analytics

    (How to design data that can actually be trusted and reused)

    This is a SPECIAL All-Day workshop and networking event that will walk participants through the core building blocks of modern data foundations, from architecture and modeling to shared definitions and AI-ready design. This is a uniquely exciting opportunity for those looking to understand and modernize their data infrastructure in finding new ways at building trust in your data across your organization.

    This event is supported by the Malloy open-source project and its contributors (Google's Looker Cofounder: Lloyd Tabb and Michael Toy). This event is also supported by https://credibledata.com/context engine.

    This interactive workshop is designed for people who work with data, rely on data, or are responsible for data outcomes. ex. Leaders impacting Data Strategy, Data Product Managers, Data Project Managers, Data Engineers, Aspiring Data Persons, Data Analysts, Data Scientists, Data Strategy Roles, Data Program Managers, Non-Profit Technical Teams or Data Teams, etc.

    Why attend this event?

    This event is important because most organizations don’t struggle because they lack data, they struggle because they can’t trust it.

    One dashboard says revenue is up, another says it’s down. Teams spend meetings debating numbers instead of making decisions. Reports break when systems change. AI tools and Copilots promise insights but produce answers no one feels confident acting on.

    This workshop breaks down (in plain language) why these problems happen and how modern organizations are able to design data foundations to avoid them. You’ll see practical examples of how inconsistent definitions, poorly designed reporting layers, and missing shared context lead to confusion, rework, and stalled initiatives.

    By the end of the day, you’ll understand how data should be structured so the same numbers mean the same thing everywhere, new reports can be built without starting from scratch, and analytics and AI can be safely layered on as your organization grows without constant firefighting.

    8:30 am – 3:00 pm; Format: Day workshop with structured networking;

    Catering: Coffee on arrival + light lunch provided

    Agenda: 

    • 8:30 – 9:00 Coffee & Networking (30 min) Open Seating

    • 9:00 – 9:15 Welcome & Context (15 min)
    • 9:15 – 10:00 Modern Data Architecture Fundamentals (45 min)
    • 10:00 – 10:15 Networking Break (15 min)
    • 10:15 – 11:15 The Data Gold Layer Fundamentals & How to Compose It + Workshop (60 min)
    • 10:00 – 10:15 Networking Break + Seat Rotation (15 min)
    • 11:30 – 12:15 Data Semantic/Self-Service Design and Background (45 min)
    • 12:15 – 12:35 Light Lunch & Networking (20-25 min)
    • 12:35 – 1:35 Data Design for AI Understanding (60 min)
    • 1:30 – 2:05 Mini Case Study + Interactive Group Session (35 min)
    • 2:05 – 3:05 Adoption & ROI of your AI Projects (60 min)
    • 3:05 – 3:15 Ending Remarks (10 min)

       

    More info soon

        

    Miles Garvey is a modern data strategist with cross-sector experience spanning public institutions, consulting, and high-growth private companies. With a background rooted in analytics engineering and data infrastructure, he has helped organizations evolve from fragmented reporting cultures into insight-driven, self-service ecosystems. Miles brings a holistic understanding of how data works in the real world. He speaks frequently about the evolving role of analytics teams, the future of data ownership, and how organizations can adopt AI-native infrastructure.

    Most recently in the private sector, he led analytics and data platform initiatives at G2, where he built scalable data pipelines, implemented semantic layers, and AI-integrated analytics. Currently, Miles runs his own data advisory consultancy spanning larger institutions.

    Steve Harris is a senior technology and GenAI consultant and implementor with 40+ years of experience across technical hands-on delivery and executive leadership. His background spans systems and architecture, project and portfolio management, and senior roles including Director, CIO, and Vice-President.

    Steve holds a BSc (Hons) in Computer Studies and an MBA in Digital Technology Management and is certified and trained across major AI platforms including Microsoft, AWS, IBM, and Google. Today, he helps organisations adopt Generative AI in a practical, responsible way - covering readiness, governance, risk, architecture, implementation, training, and Fractional CAIO support to ensure solutions are usable, secure, and sustainable. He also actively researches the application of emerging AI (multi-agent systems, RAG solutions and evolving LLMs - especially the use of Small and Tiny language models) and contributes to the community as a VIATEC AI Meetup co-founder, Prompt Victoria AI Conference co-founder, and founder of a GenAI RFP Community of Practice.

    Kyle Nesbit is the Founder & CEO of Credible, a platform for engineering and delivering shared meaning across enterprise data. He’s a technical founder and engineering leader focused on semantic modeling, context systems, and AI-first developer workflows.

    Prior to Credible, Kyle spent 17 years at Google, where he worked on high-performance distributed systems, machine learning in ads, and AI-powered analytics. He helped build core infrastructure behind BigQuery and later worked on bringing generative AI capabilities into Looker following Google’s acquisition. He also spent time with Gradient Ventures, Google’s AI-focused venture fund, gaining perspective on what makes AI systems scalable, reliable, and investable.

    At Credible, Kyle is pioneering Engineering Meaning: treating business intent, definitions, and relationships as first-class, versioned, testable assets — and delivering that meaning in context to analytics, applications, and AI systems.

    Suraj Lamgaday  is a Data Lead at G2, where he leads the implementation of the company’s Golden Layer data architecture. He has helped build multi-million-dollar lines of business using data, developed full-stack analytics products for institutional investors, and partnered closely with business teams to turn raw data into trusted decision systems.

    Prior to G2, Suraj overhauled enterprise data architecture and semantic layers at a top ten U.S. law firm and previously worked at JPMorgan Chase, contributing to Golden Layer initiatives across Asset Management and Commercial Banking. His work centers on building scalable, business-ready data foundations that organizations can rely on.


    About our location:

    • Deloitte Summit Building (architecture)
    • Follow lobby signage to the 23rd floor
    • Capacity - up to 140 people
    • Location - Deloitte Summit Building at 410 West Georgia, Vancouver - great view!
    • Please join us early for networking while enjoying the coffee, muffins, and croissants. 

    DAMA-Vancouver 2026 Events - Mark Your Calendars:

    • Please send in topics/vendors/paradigms you would like to see!

    • Thu Mar 26 - Full day workshop - Semantic Modeling  (Premium)
    • Fri Mar 27 - Benefits of Semantic Modeling + AI Lease Negotiator
    • Fri Apr 24 - AI-Governance
    • Fri May 22 - TBA
    • Fri Jun 19 - TBA
    • Fri Sep 25 - TBA
    • Wed Oct 21 - DAMA Days Conference - Theme TBA  (Premium)
    • Fri Nov 20 - TBA
    • Fri Dec 11 - Christmas Party  (Premium)  

    • 2026-03-27
    • 8:30 AM - 11:30 AM
    • Deloitte Summit Building - 410 West Georgia Street, Vancouver
    • 116
    Register

      Semantic Modeling with Emerging Tools + AI fairer Legal Agent Lease Negotiator

    Please join us on Friday Feb 20th for another great session. Add a fulsome description. 

    Agenda: 

    • 8:45 In-person networking, coffee, and muffin at Deloitte's sunny Learning Centre
    • 9:00 DAMA chapter announcements
      • Thanks to our Sponsors Deloitte, Qlik
    • 9:10 Miles Garvey on Semantic Modeling
    • 10:00 Coffee and Networking break
    • 10:15 Martin on their development of an AI Agent to Negotiate Leases
    • 11:15 Questions and discussions, coffee refill, networking
    • Draw for a $50 Amazon Gift Card for in-person attendees only.

       

    Section coming from Miles on Semantic Modeling.

    AI Agent - Lease Negotiator

    The presenter is one of the authors of this paper that will be presented at conference this year.  Once the conference, journal, and authors agree with this being presented to DAMA-Vancouver we will be able to provide more information like Speaker, abstract, etc.  In the meantime, this is a bit of background on Rawlsian Agents:

    "computational entities designed using John Rawls' principles of justice, particularly the "veil of ignorance," to make fair decisions, often in AI/multi-agent systems for legal contracts or social norms, prioritizing fairness and the well-being of the least advantaged by abstracting from self-interest to ensure equitable societal structures. They embody Rawls' idea of "rational" agents who, behind the veil, choose principles (like equal liberty and the difference principle) that benefit everyone, leading to fairer AI-driven agreements and ethical norm-learning in simulations."

    In essence, Rawlsian Agents are a paradigm for building AI systems that embody fairness by adopting a perspective of impartiality, ensuring that their decisions and the systems they create uphold justice for everyone, especially the most vulnerable.

        

    Miles Garvey

    Coming soon

    Martin

    Coming soon


    About our location:

    • Deloitte Summit Building (architecture)
    • Follow lobby signage to the 23rd floor
    • Capacity - up to 140 people
    • Location - Deloitte Summit Building at 410 West Georgia, Vancouver - great view!
    • Please join us early for networking while enjoying the coffee, muffins, and croissants. 

    Premium Membership gives you access to the Recording, Slide deck, and Supporting Materials from each event. These are typically posted a week after the event.

    DAMA-Vancouver 2026 Events - Mark Your Calendars:

      • Please send in topics/vendors/paradigms you would like to see!
      • Thu Mar 26 - Full day workshop - Semantic Modeling  (Premium)
      • Fri Mar 27 - Benefits of Semantic Modeling + AI Legal Agent Lease Negotiator 
      • Fri Apr 24 - TBA
      • Fri May 22 - TBA
      • Fri Jun 19 - TBA
      • Fri Sep 25 - TBA
      • Wed Oct 21 - DAMA Days Conference - Theme TBA  (Premium)
      • Fri Nov 20 - TBA
      • Fri Dec 11 - Christmas Party  (Premium)

      • 2026-04-01
      • 4:30 PM
      • 2026-06-03
      • 6:00 PM
      • VIRTUAL
      • 71
      Register


      Program Overview

      The
      CDMP Canadian Study Group is a cross-Canada, expert-led study program designed to support professionals preparing for the Certified Data Management Professional (CDMP) certification.

      Earning your CDMP credential is a significant professional milestone. It demonstrates your knowledge, experience, and commitment to best practices in data management.

      In today’s job market, CDMP credentials are increasingly recognized across both public and private sector roles as a valuable professional asset.


      Program Schedule

      All sessions are delivered online via Zoom over a 10-week period.

      • Start date: Wednesday, April 1, 2026
      • Time: 4:30–6:00 PM (Pacific Time)
      • Format: Weekly live sessions

      View the full week-by-week session schedule here: www.cdmpstudy.org


      Why Join

      This Canada-wide study group brings together experienced professionals and data management leaders from across the country and internationally.

      Sessions focus on building a strong understanding of the CDMP knowledge areas, grounded in practical, real-world perspectives.

      Pay If You Pass (PIYP) Exam Option

      Participants may choose to write the CDMP exam at a Pay If You Pass (PIYP) event taking place in Vancouver in mid-June.
      • You write the exam and only pay $300 USD if you pass.
      • If you do not pass, you do not pay.
      Additional details will be shared mid-April.

      This option helps reduce financial barriers while encouraging confident exam participation.









      Exam Overview

      The study group prepares participants for the Data Management Fundamentals Exam, the entry point for CDMP certification at the Associate, Practitioner, or Master level.



      Program Registration Pricing

      Regular
      Member


      $350

      Premium
      Member


      $250

      Student /
      Unemployed


      $100






      Stay Updated

      For the latest announcements, updates, and reminders, please follow our LinkedIn page. This is where all official updates for the CDMP Canadian Study Group are shared.

      Follow us on LinkedIn:
      https://www.linkedin.com/company/dama-cdmp/


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