Engineering Manager Data (F/M) – Online video platform

Join the leading video discovery destination & technology that learns about your tastes over time, constantly surfacing the best, most relevant content on the web at an Engineering Manager Data (F/M) position.

As an Engineering Manager to lead the dynamic Analytics Engineering team as part of the Data &Analytics Engineering craft, you will be at the forefront of driving data-driven decisions that impact various aspects of the company's business operations.

You will contribute to the development and maintenance of many data products, each designed to enhance the understanding of user behavior, inform product strategies, and optimize business outcomes. From highly scalable client-facing analytics to real-time event processing systems.

Yours responsibilities:

- Foster the growth and leadership of a team of analytics engineers by overseeing the hiring process, providing constructive feedback, and facilitating hands-on career development opportunities. Cultivate a collaborative engineering culture that prioritizes delivering business value. Participating in roadmap definition and delivery and company strategic decisions.

- Manage the workload and project assignments of direct reports, actively participating in company-wide staffing ceremonies. Promote agile software development practices and evangelize excellent engineering and organizational standards. Manage the on-duty process for engineers.

- Act as a technical lead for the team, ensuring that solutions meet expected quality standards using well-understood components. Maintain consistency in the architecture while guiding the team in its implementation.

- Proactive attitude towards driving improvements within the team, including technical enhancements, monitoring capabilities, and adoption of best practices.

- Serve as a role model for the team by demonstrating a hands-on approach to problem-solving, embracing new technologies, and encouraging a culture of continuous learning and innovation.

- Support timely delivery of projects by reviewing, directing & guiding the work of all engineers either directly or through senior team members.

- Support company-wide data governance initiatives through your team, identifying necessary process improvements and outlining your team's contributions to them.

- Advocate for new requirements for the data platform originating from your team, ensuring their maximum impact by automating unproductive tasks whenever possible.

- Partner closely with other engineering managers and product managers to grasp the context of requirements coming your way, shape the solutions, anticipate dependencies, and translate product requirements into actionable projects. You will constantly interact with the engineering managers from sister teams (data engineering, machine learning engineering and AdTech engineering) to optimize use-cases and maximize efficiency.

- Support timely delivery of projects by reviewing, directing & guiding the work of all engineers either directly or through your most senior engineers.

- Support company-wide data governance through your team, identifying what processes need to change/begin and how your team will contribute to them.

- Champion new requirements for the data platform coming from your team to constantly maximize their impact by making sure unproductive tasks are automated away.

- Track costs and budget for cloud resources.

- Partner closely with other engineering managers and product managers to better grasp the context of requirements coming your way, shape the solutions, anticipate dependencies and translate product requirements into actionable projects. In particular, you will constantly interact with the engineering managers from your sister teams (data engineering & machine learning engineering) in order to best realize the use-cases and maximize the efficiency of the company.

Remote 2 days a week.

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You must be a technical manager who can understand the technical details of a project. You have experience translating business requirements into technical projects.

Proficiency in ensuring data quality and stability is essential for this role.

You have had experience going through the full software cycle of requirements, design, coding/testing, rollout/deploy best practices applied to analytics & data.

You can challenge and grow your team members: you can challenge technical designs and project milestones, encourage experimentation, and uphold quality expectations.

You have at least 5 years of experience around Data Analytics, Datawarehouse such as BigQuery, Python development, streaming, batch, API, pipelines, etc..).

You have at least one experience managing a Data team.

You have the ability and the interest in working with multiple parts of the business (product, ads) and multiple stakeholders (engineers, analysts, product managers…).

Bilingual in French and English.

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