Gen AI Data Architect Senior Manager

PwC Management Services LP
Remote friendly

Line of Service

Internal Firm Services


Not Applicable


IFS - Information Technology (IT)

Management Level

Senior Manager

Job Description & Summary

A career in Information Technology, within Internal Firm Services, will provide you with the opportunity to support our core business functions by deploying applications that enable our people to work more efficiently and deliver the highest levels of service to our clients. You’ll focus on managing the design and implementation of technology infrastructure within PwC, developing and enhancing both client and internal facing applications within PwC, and providing technology tools that help create a competitive advantage for the Firm to drive strategic business growth.

Our Data Intelligence and Analysis - Practice Support team provides PwC a series of organisational technology capabilities that include business intelligence, data management, data warehouse, and data assurance. You’ll help with projects that involve information technology strategy and infrastructure, enterprise architecture, enterprise applications, large scale programme and portfolio management, information technology security, data analytics, computer forensics, and emerging technologies like cloud, mobility and social networking.

Meaningful work you’ll be apart of

As a Gen AI Data Architect Senior Manager, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:

  • Contribute data engineering and architecture expertise to firm projects and technologies initiatives. (ie. enterprise applications, GenAI, LLM, MLOps, etc.)

  • Create deployment and modernization strategies for enterprise-wide digital transformations, particularly for the transition of legacy data to new systems and platforms

  • Demonstrated experience and expertise with GenAI initiatives and related technologies, define data architecture infrastructure and data management processes to support GenAI projects

  • Experience in the development of enterprise data architecture strategies and roadmaps for internal projects (including linked business cases) with a specific focus on the following:

  • Developing robust data models and dictionaries to manage internal data

  • Supporting data security initiatives with an understanding of data classification guidelines

  • Data technology architectures and solution options aligned to technology strategy and priority data use cases

  • Leading practices in data management including master, reference, metadata, data quality, data protection, data life cycle management aligned to data governance model deployed

  • Development and execution of data programs working closely with stakeholders across functional teams

Experiences and skills you’ll use to solve

  • Experience as a Data Architect, Data Engineering manager or similar role, preferably in a large-scale enterprise environment

  • Extensively in large scale data architecture, data modeling and implementation with hands-on experience

  • Strong experience in data architecture and design, knowledge and expertise with GenAI related technologies: Foundation models/GPT, LLM/SLM, vector databases, AI Search/vector search, Langsmith, prompt engineering

  • Expertise with modern data architecture and platforms, experience with a variety of database technologies, including relational databases (e.g., SQL Server, Oracle, MySQL), NoSQL databases (e.g., MongoDB, CosmosDB, Cassandra), and cloud-based database services (e.g., Azure SQL Database, Databricks, BigQuery, Snowflake, Amazon RDS)

  • Manage multiple data integration/ETL patterns: batch, streaming, API/microservices

  • Understanding of implementation of architecture using Azure data technology stack

  • Hands-on experience with data integration tools (e.g., ADF, Synapse, DataBricks) and ETL development

  • Proficiency in designing conceptual, logical, and physical data models to represent organizational data assets and facilitate efficient data storage, retrieval, and analysis

  • Knowledge of data governance frameworks, policies, and best practices to ensure data quality, integrity, security, and compliance with regulatory requirements

  • Experience with MLOps/AIOps strongly preferred

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

The most connected firm through activity based working

PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people. We want you to be intentional with your work, how you do it and where it’s done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work, whether it’s in the office or at a client site. This means we expect you to be in-person (either with clients or in the office) at least half of your time. We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?


Government Clearance Required?


Job Posting End Date

At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We’re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.

We’re committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.

To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html. Be a part of The New Equation.

Chez PwC Canada, notre atout le plus précieux, c’est notre personnel. Et c’est en apprenant les uns des autres que nous devenons plus forts. Nous avons à cœur de créer une communauté équitable et inclusive de professionnels de la résolution de problèmes, dans laquelle chacun se sent vraiment à sa place. Nous savons que l’expérience peut prendre diverses formes et, pour nous, donner confiance au public et résoudre des problèmes importants n’est possible que si notre milieu de travail reflète la diversité de la société dans laquelle nous vivons.

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

Pour en savoir plus sur l’inclusion et la diversité chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle équation.