Meet the Management Team
We are firm believers in Agile — both as a philosophy and as a methodology we actively practice. We also believe that Agile alone is not enough. When combined with Enterprise & Business Architecture, it becomes significantly more powerful, delivering better outcomes with greater predictability.
We have applied this combined approach extensively to Data & Analytics initiatives, and have developed effective ways to make it work within bi-modal organizations — maintaining the right governance without sacrificing the speed and adaptability that Agile promises.
And we have taken this one step further: we now deliver 100% of implementation directly from architecture and specifications, leveraging Large Language Models (LLMs) to close the gap between design and execution entirely.
Richard Langlois, president
Richard brings over 40 years of experience as both an executive and subject matter expert in consulting and within organizations of various sizes, including multiple Fortune 500 companies, on projects ranging from $100K to $400M. He has held leadership positions for more than 20 years — including VP and Senior Director roles — and started his career as a programmer. He is fluent in French and English.
He is a certified Senior Enterprise Architect (IAF, CapGemini Ernst & Young, 2003), a master architect having built Conceptual Enterprise Data Models and Business Capability Models across Finance, Telecom, Media, Transportation, Health, Live Entertainment, Retail, Distribution, and Manufacturing. A recognized innovator, he was among the first globally to use Hadoop for OLAP — earning a Data Impact Award at Strata & Hadoop World NYC (2016) and an Octas Award (2015). He designed and implemented what is now called a Lakehouse before the concept was formally named, has been pioneering the real-time Lakehouse for many years unlocking new AI use cases that traditional architectures cannot support, created the denormalized snowflake and the MVx framework — 20 Data & Analytics deliverables based on the MVP concept — and is currently advancing architecture-driven AI code generation.
A regular international speaker at conferences in Analytics, BI, Big Data, Innovation, and Enterprise Architecture, Richard has accumulated over 350 days as a speaker and trainer and over 700 days as a facilitator across Canada, the US, and India. He has been featured by Tableau, AtScale, Wayne Eckerson, and Yahoo Finance, and has guest lectured in MBA and Master of Analytics programs. For a partial list of speaking engagements and press coverage, click here.
Eugenie Artus, Enterprise Architect
Madame Artus brings 29 years of professional expertise developed primarily within financial services firms. Her academic foundation is as distinctive as her career — trained in accounting and finance at the École Nationale de Commerce in Paris, where she earned both a B.T.S. in Accounting and a D.E.S.C.F., before transitioning to information systems at HEC Montréal, where she completed her M.Sc. coursework in Management Information Systems building on a B.A.A. in the same discipline. This rare combination of financial rigour and technology depth defines her approach to every engagement.
She has built her expertise across two core areas:
- Enterprise and Business Architecture — business capability assessment and positioning, process, data and systems architecture, and hands-on support for business and IT teams in process management, change management, and transformation initiatives
- Solution Architecture — product selection, and definition of application and data solutions, with particular depth in Business Intelligence (BI)
This dual grounding in finance and architecture is further reinforced by her complementary expertise in financial and accounting audit, as well as quality assurance for project management and system development (ISO and CMMI) — making her particularly effective in regulated and compliance-driven environments.
She is recognized for both her professional and interpersonal skills — notably her commitment, initiative, and collaborative spirit. She is results-driven and consistently focused on meeting and exceeding client expectations
Interesting Reads
Our perspectives has been influenced by a carefully curated set of books at the intersection of technology, strategy, and innovation:
- The Lean Startup — Eric Ries
- Machine, Platform, Crowd: Harnessing Our Digital Future — McAfee & Brynjolfsson
- The Second Machine Age — McAfee & Brynjolfsson
- Architects of Intelligence — Martin Ford
- The Book of Why — Judea Pearl
- This Is How They Tell Me the World Ends — Nicole Perlroth
- Preventing Litigation - An Early Warning System to Get Big Value out of Big Data —
- Smart Brevity — Jim VandeHei, Mike Allen, Roy Schwartz
- Enterprise Architecture as Strategy — Jeanne W. Ross, Peter Weill, David C. Robertson
- Breakout Strategy — Sydney Finkelstein
- Introduction to Business Architecture — Christophe Reynolds
- Business Model Generation — Alexander Osterwalder and Yves Pigneur
- BPMN Methods & Styles — Bruce Silver
- NGOSS distilled — John P. Reilly, Martin J. Creamer
- The Data Warehouse Toolkit — Ralph Kimball
- Using the Data Warehouse — W.H. Inmon, Richard D. Hackathorn
- Information Engineering Books 1 to3 — James Martin
- A discipline of programming — Dijkstra
- Composite Structured Design — Glenford J.Myers
- An Introduction to Database Systems — C.J. Date
Our Story
IT Architecture & Strategy was founded to address a persistent gap observed across organizations: Enterprise Architecture (EA) was not delivering on its promise. Roadmaps were narrow in scope, covering only application aspects while largely ignoring data, business processes, services, AI, BI, integration, security, and infrastructure.
We also observed that organizations invested significant effort maintaining EA artifacts yet struggled to produce tangible, timely results for the business.
To learn more about our EA framework and philosophy, please visit ITA&S-F.
Our technical roots run deep. In 2006, we were designing Very Large Databases (VLDB) before the term "Big Data" was coined, and implementing Massively Parallel Processing (MPP) before Hadoop existed. In 2011, we immersed ourselves in Digital Analytics and Big Data with Hadoop. We were architecting real-time LakeHouse solutions three years before Databricks formally introduced the term. This trajectory naturally led us to build the GUM-RTDP Platform — enabling enterprises to move at the speed of their customers.