Manager, Data Development

As the Manager, Data Development at Thrive, you will oversee the operations of our data pipeline program, ensuring that your team creates scalable and automated data warehouses. Your responsibilities will involve managing project scoping, resources, and promoting learning opportunities for your team to drive high-quality outcomes that significantly enhance data-driven decision-making across the organization.

To be considered for the Manager, Data Development position at Thrive, candidates should possess experience leading data engineering teams, a strong understanding of data infrastructure management, and expertise with SQL and Python for creating custom pipelines. Additionally, a proven track record of mentoring team members and staying up-to-date with data technologies is essential.

At Thrive, we are committed to your career growth as a Manager, Data Development. We provide numerous learning opportunities, mentorship programs, and internal career coaches to help you develop your skills and move forward in your career path while fostering a culture of innovation and creativity.

The work culture at Thrive is centered around collaboration, creativity, and playfulness. As a Manager, Data Development, you will find an encouraging environment that respects individuality and promotes growth. The team is motivated to experiment, share ideas, and learn continuously, making it a dynamic place to work and thrive.

The total compensation for the Manager, Data Development role at Thrive ranges from $103,000 to $134,000 CAD, along with profit sharing after one year of employment. Additionally, we offer a comprehensive benefits package including flexible remote work, generous vacation, medical coverage, and wellness days to ensure a healthy work-life balance.

When answering this question, highlight specific projects where you successfully led the data engineering process, discussing your role, the methodologies used, and the outcomes. Focus on your leadership qualities and how you facilitated collaboration among teams.

Discuss your strategies for optimizing data pipelines, such as implementing automated testing, ongoing performance monitoring, and resource allocation. Share examples of how you addressed specific challenges to maintain high-quality standards.

Mention your familiarity with various ETL tools and data warehousing solutions. Provide examples of past projects that utilized these tools effectively, and explain your reasoning behind choosing particular technologies based on their efficiency and scalability.

Share your approach to conflict resolution, emphasizing communication and collaboration. Discuss specific instances where you facilitated dialogues to resolve team misunderstandings and how you maintained a productive working environment.

Discuss your mentorship approach, illustrating specific scenarios where you identified team members' strengths and areas for improvement. Share how you provided resources and guidance to aid in their professional development.

Provide a detailed overview of how you've used SQL and Python in your previous roles. Offer concrete examples of projects or tasks where your coding helped solve data-related problems effectively.

Talk about your commitment to continuous learning. Mention resources such as industry publications, webinars, online courses, and community engagement that contribute to your knowledge of current data technologies.

Choose a project that showcases your problem-solving skills. Outline the challenges faced, the strategies you implemented to overcome them, and the positive results that followed, emphasizing your leadership throughout the process.

Articulate the importance of data development in understanding market trends and informing marketing strategies. Discuss how accurate data pipelines enable better decision-making and campaign effectiveness, ultimately driving business success.

Express your enthusiasm for Thrive's mission and culture. Highlight the alignment between your career goals, the innovative work being done at Thrive, and how you can contribute to the team's success with your skills and experience.