Product Manager – Data & Insights

Job not on LinkedIn

🔥 1 minute ago

🌐 Saudi Arabia, Egypt – Remote

🇸🇦 Saudi Arabia – Remote 🇪🇬 Egypt – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Unifonic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $125M Series B on 2021-09

Consulting • Healthcare • Logistics

Unifonic is a customer engagement platform powered by artificial intelligence, designed to facilitate personalized omnichannel communication. The company offers a variety of communication channels and applications, including SMS, Voice, WhatsApp, Push Notifications, and Webchat to enhance customer interactions across multiple industries. Unifonic focuses on improving marketing automation, IT and operations, and customer support by providing AI-powered tools and automated workflows, ensuring timely and efficient customer communication. Their solutions cater to industries such as retail, banking, healthcare, and logistics, providing integrations with popular platforms like Salesforce and Shopify. With over 25 billion messages sent and 5,000+ customers, Unifonic provides global connectivity and a seamless customer experience.

📋 Description

• Lead development of customer-facing dashboards and internal reporting systems • Own the end-to-end product lifecycle for reporting capabilities, from customer research and data modeling through delivery, governance, and continuous improvement • Define and execute the roadmap for customer-facing analytics, reporting portals, and internal reporting infrastructure • Align reporting solutions with business goals and customer needs • Collaborate with leadership to prioritize initiatives based on impact, complexity, and business value • Advise other Product teams on data strategy and design • Collect business and technical requirements from Finance, Operations, Customer Success, Product, and Engineering • Develop feature requirements, user stories, acceptance criteria, and data contracts • Translate ambiguous business questions into reporting needs and KPIs • Partner with data engineers to co-develop data models and data marts in the data warehouse • Influence ETL/ELT and dimensional-modeling architectural decisions • Own and enforce data governance standards, including definitions, taxonomy, lineage, and version control • Define data quality verification and anomaly-detection processes • Own the product experience and lifecycle for reporting and BI platforms • Define self-service analytics capabilities for internal teams • Create feedback loops to improve dashboard usability and relevance • Translate between technical and non-technical teams • Present product updates, reporting insights, and metrics to executives and cross-functional teams • Facilitate trade-off decisions involving data availability, accuracy, and reporting timelines

🎯 Requirements

• 5+ years of experience in product management, data, analytics, or reporting platforms, with a strong focus on data-driven products • Proven experience delivering customer-facing reporting products, dashboards, and internal analytics solutions • Strong understanding of data privacy, governance, and compliance frameworks, including GDPR and PDPL • Experience working cross-functionally with data engineers, analysts, product teams, UX, and business stakeholders • Hands-on experience with data warehouses such as ClickHouse, Vertica, or Snowflake • Hands-on experience with BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma • Strong SQL skills and understanding of data modeling concepts, including fact and dimension tables and star schemas • Familiarity with ELT pipelines, dbt, and data orchestration tools is a plus • Understanding of data quality, data integrity, scalability, and performance considerations • Ability to define business KPIs and translate business and reporting needs into clear data and product requirements • Experience contributing to data governance, data integrity, and compliance initiatives • Ability to balance performance, usability, scalability, and cost • Strong communication and stakeholder management skills • Proven ability to lead cross-functional discussions and communicate reporting goals and insights effectively • Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field • Minimum AI proficiency level L4 (Proficient) • Hands-on experience with Claude and Lovable • Ability to write structured prompts and refine prompts rather than manually patching outputs • Ability to validate insights against source data • Experience drafting PRDs, user stories, and executive updates with AI assistance while verifying claims and numbers • Ability to build clickable prototypes in Lovable • Understanding of AI agents, including prompts, tools, memory, and guardrails • Ability to identify AI risks including hallucination, bias, data privacy, and over-reliance • Strong SQL and data analysis skills • Knowledge of data modeling, dimensional modeling, data marts, and data pipelines • Understanding of ETL/ELT, dbt, and data orchestration • Knowledge of data governance, quality, lineage, and compliance • Understanding of GDPR, PDPL, and data privacy principles • Ability to define KPIs, data requirements, data contracts, and reporting specifications • Understanding of scalable, performant, and cost-effective reporting architectures

🏖️ Benefits

• Competitive salary and bonus • Unifonic share scheme • 30 holiday days after the first anniversary • Your Birthday off • Spend up to 25 days per year working from anywhere in the world • Paid leave for new parents