5 дней назад
Product Manager, Enterprise Data (Edtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager, Enterprise Data (Edtech): Bridging the gap between marketing operations and data engineering to deliver actionable data products and KPIs with an accent on translating business questions into technical requirements. Focus on managing the data product backlog, conducting gap analyses, and ensuring a single source of truth for enterprise-level analytics.
Location: Remote (US)
Company
is an education technology company that helps regional universities develop and grow workforce-focused online degree programs to increase access to affordable education.
What you will do
- Partner with marketing and operations analytics to define KPIs and align stakeholders around a shared source of truth.
- Translate business questions and metrics into clear product requirements and user stories for the data team.
- Manage and prioritize the requirements backlog, balancing business value against technical effort.
- Conduct gap analyses to identify reporting deficiencies and lead the process of closing those gaps.
- Document current and future-state processes and define a common set of terms and definitions.
- Track the delivery of data products such as treated tables, dashboards, and reports to ensure they solve original business problems.
Requirements
- 8+ years of experience in product management or product ownership specifically for data, analytics, or reporting products.
- Proven ability to act as a bridge between non-technical business stakeholders and technical data teams.
- Strong literacy in marketing metrics, funnels, and operational KPIs.
- Working knowledge of Databricks and data warehouse concepts to write realistic requirements.
- Experience writing user stories and managing backlogs within an Agile framework.
- Must be based in the US
Nice to have
- Experience in B2B/B2C marketing analytics or higher education environments.
- Familiarity with SQL, dbt, Looker, Python, Tableau, or Databricks.
- Knowledge of product discovery frameworks like RICE or Jobs-to-be-Done.
- Experience using AI assistants (e.g., Claude) in the product workflow.
- CSPO certification and proficiency with Jira and Confluence.
Culture & Benefits
- Mission-driven environment dedicated to increasing access to affordable education.
- Opportunity to influence executive-level decisions through high-impact data insights.
- Inclusive and diverse workforce culture.
- Equal-opportunity employment.
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