4 дня назад
Product Manager - Data & Insights (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager - Data & Insights (AI): Building customer-facing dashboards and internal reporting systems for scalable analytics with an accent on data modeling, governance, compliance, and self-service insights. Focus on defining reporting roadmaps, designing data contracts and KPIs, validating data quality, and using AI for product discovery, prototyping, and stakeholder communication.
Location: Riyadh, Saudi Arabia, or Cairo, Egypt. On-site and remote work options are available; employees may work from anywhere in the world for up to 25 days per year.
Competitive salary and bonus.
Company
is a startup in the CPaaS space providing communication and engagement solutions for more than 5,000 companies with a team of over 400 employees.
What you will do
- Define and execute the roadmap for customer-facing analytics, reporting portals, and internal reporting infrastructure.
- Translate business and technical needs into feature requirements, user stories, acceptance criteria, data contracts, and KPIs.
- Partner with data engineers to develop data models, data marts, dimensional schemas, and scalable warehouse reporting architectures.
- Own data governance, definitions, taxonomy, lineage, version control, data quality verification, and anomaly detection.
- Manage the product experience and lifecycle for BI and reporting platforms while enabling self-service analytics.
- Use AI for research, product specifications, prototyping, executive communication, and workflow automation while validating accuracy and managing AI risks.
Requirements
- 5+ years of experience in product management, data, analytics, or reporting platforms, with a focus on data-driven products.
- Experience delivering customer-facing dashboards, reporting products, and internal analytics solutions.
- Strong SQL, data analysis, data modeling, data warehouse, data pipeline, and dimensional modeling skills.
- Experience with warehouses such as ClickHouse, Vertica, or Snowflake and BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma.
- Understanding of data privacy, governance, quality, integrity, scalability, performance, GDPR, and PDPL compliance.
- Minimum AI proficiency level: L4 (Proficient), including hands-on experience with Claude and Lovable and the ability to validate AI-generated outputs.
Nice to have
- Familiarity with ELT pipelines, dbt, and data orchestration tools.
- Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.
Culture & Benefits
- Collaborative, creative environment with cross-functional work across engineering, analytics, UX, product, and business teams.
- Competitive salary and bonus.
- share scheme.
- 30 holiday days after the first anniversary and a paid birthday day off.
- Up to 25 days per year working from anywhere in the world and paid leave for new parents.
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