Director Of Products - Data & Engineering (EdTech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Director of Products - Data & Engineering (EdTech): Leading the execution and delivery of data as a product on a modern Databricks platform with an accent on data mesh architecture and product-oriented delivery. Focus on translating strategic priorities into scalable data products, mentoring data engineering teams, and implementing AI-assisted development.
Location: Remote (US)
Company
is an education technology company providing support and expertise to over 100 universities to grow workforce-focused online degree programs.
What you will do
- Own the end-to-end lifecycle of data products from concept through delivery and continuous improvement.
- Implement product-oriented workflows including backlogs, prioritization, and feedback loops.
- Support a data mesh approach by enabling domain teams to own and manage their data products.
- Lead and mentor a team of data engineers to deliver scalable platform capabilities.
- Guide data modeling, semantic layers, and the implementation of modern data practices.
- Partner cross-functionally to drive the adoption of AI-assisted development.
Requirements
- 8–12 years of experience in data engineering, data products, or software engineering.
- 3–5 years of experience leading teams and delivering strategic initiatives.
- Proven experience treating data as a product with a strong product mindset.
- Must be based in the US.
- Experience in data mesh or domain-based environments.
- Bachelor’s degree or equivalent practical experience.
Nice to have
- Experience scaling product-oriented data teams.
- Familiarity with the Databricks ecosystem tools.
- Experience with AI-assisted development.
- Experience working directly with business stakeholders on data products.
Culture & Benefits
- Mission-driven environment focused on increasing access to affordable education.
- Commitment to a diverse and inclusive workforce as an equal-opportunity employer.
- Opportunity to lead high-impact AI and data-driven decision-making across the organization.
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