Product Manager, Data Lake (Azure, Databricks and Transformation Data) (French Services) (Telework/Hybrid)

Position Title:

Product Manager, Data Lake (Azure, Databricks and Transformation Data) (French Services) (Telework/Hybrid)

Status of Employment:

Contractee Long-Term (Durée déterminée)

Position Language Requirement:

English, French

Language Skills:

English (Reading - C - Advanced), English (Speaking - C - Advanced), English (Writing - C - Advanced), French (Reading - C - Advanced), French (Speaking - C - Advanced), French (Writing - C - Advanced)

Work at CBC/Radio-Canada

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

Unposting Date:

2026-03-18 11:59 PM

Why Join CBC/Radio-Canada

Are you passionate about the digital world? Are you a product manager with experience in data collection and/or internal management platforms, and comfortable with technical environments? This opportunity within Digital Media is for you.

This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.

Context: Putting innovation at the core of digital media

Radio-Canada focuses on more than simply distributing content. We craft digital experiences enjoyed by millions of Canadians every day (ICI TOU.TV, Radio-Canada OHdio, news apps).

In a fast-changing media ecosystem, data is our compass. To customize our audience experience, optimize our content and guide us in our decision-making and innovations, we’re transforming our infrastructure to take advantage of a modern, decentralized architecture. You can play a central role in this major technology shift.

Why is this role important?

Our data ecosystem centralizes and processes huge volumes of data originating from all our digital platforms.

As Product Manager, Data Lake, in co-operation with the Solutions Architect, you’ll drive the future of the data lake in the Radio-Canada data ecosystem by ensuring that solutions are available, secure, interoperable and economically effective (FinOps). The aim is to enable data experts to create data products and manage them smoothly.

Your key responsibilities:

• Product Vision and Road Map: Be the custodian of the data lake’s future in line with data trends and appetites. For example, support needs in terms of customization, audience analytics and media performance metrics and prep data for generative AI models.
• Backlog Management: Prioritize developments in JIRA by translating business needs (marketing, newsrooms and programming) into technical user stories.
• Optimization and FinOps: Foster a visibility culture for cloud costs. Facilitate initiatives to optimize the use of Azure and Databricks (cost monitoring, alerts and cluster efficiency).
• AI and ML Foundations: Partner with the data science teams to make sure that the architecture supports MLOps lifecycles and generates the essential high-quality data needed to train models.
• Architecture and Delivery: Support data experts in delivering robust, resilient data pipelines.
• Governance and Quality: In co-operation with data governance experts, ensure that data is reliable, secure and compliant (privacy and consent) in a public broadcasting context.
• Evangelism: Promote a data-driven culture by simplifying product concepts, encouraging autonomy and supporting users as they adopt new tools.

What you bring

You’ll be the bridge between technology and business. You fully recognize that data is valuable only if it’s accessible, reliable and secure.

Key technical skills:

• Data ecosystem: Demonstrated expertise in managing data products using Azure and Databricks (Delta Lake, notebooks and workflows).
• Good understanding of privacy guidelines and concerns in digital media.
• Genuine interest in audience data management and passion for product development.
• Change management: Proven ability to support teams in adopting new workflows as well as help alleviate resistance and facilitate training.
• Modern architecture: Familiarity with Data Mesh principles to promote business field autonomy and data decentralization.
• Digital media context: Understanding the issues specific to the media environment (streaming data, session lifecycles, multiplatform identifiers and engagement metrics).
• Agile tools: Advanced proficiency with the Atlassian suite (JIRA and Confluence).

Professional skills:

• Expert consulting: Ability to act as an expert for non-technical stakeholders.
• Results-oriented approach.
• Genuine interest in audience data management and passion for product development.
• Influence witho