Product Manager Data & Insights

About Unifonic and the Role

Unifonic, recognized as a Great Place to Work®, operates in the CPaaS (Communication Platform as a Service) sector, providing communication solutions to over 5000 customer-centric companies. The company's engineering team is responsible for developing and maintaining the systems that drive these solutions. This full-time position for a Product Manager - Data & Insights is based in Riyadh, Riyadh Province, and requires 5-10 years of experience.

Role Overview

As a Product Manager, Data & Insights, you will lead the development of both customer-facing dashboards and internal reporting systems. This role integrates product management, data engineering, and analytics to deliver intuitive, reliable, and scalable reporting experiences for external users and internal stakeholders. You will manage the end-to-end product lifecycle for reporting capabilities, from customer research and data modeling to delivery, governance, and continuous improvement. The role involves close collaboration with data engineers, analysts, UX teams, and business stakeholders to build a robust data ecosystem that supports self-service analytics, compliance, and executive decision-making. You will also champion data compliance initiatives across all Unifonic products.

Key Responsibilities

• Define and execute the roadmap for customer-facing analytics, reporting portals, and internal reporting infrastructure.
• Align reporting solutions with business goals and customer needs, prioritizing initiatives based on impact and business value.
• Advise other Product teams on data strategy and design.
• Collect business and technical requirements from cross-functional stakeholders, including Finance, Operations, Customer Success, Product, and Engineering.
• Develop detailed feature requirements, user stories, acceptance criteria, and data contracts for reporting systems.
• Translate ambiguous business questions into well-defined reporting needs and KPIs.
• Partner with data engineers to co-develop data models and data marts in the data warehouse (*, Snowflake, Qlik, Vertica).
• Understand schema design and its impact on performance, usability, and extensibility of data reporting systems.
• Influence architectural decisions related to extract-transform-load (ETL/ELT) processes and dimensional modeling.
• Own and enforce data governance standards, including data definitions, taxonomy, lineage, and version control.
• Define processes for data quality verification and anomaly detection in collaboration with engineering and analytics teams.
• Advocate for data accuracy and monitor for misleading or incomplete insights.
• Manage the product experience and lifecycle for reporting and BI platforms (*, Looker, Tableau, Power BI, Sigma, or Mode).
• Define self-service analytics capabilities for internal teams and create feedback loops to improve dashboard usability.
• Act as a liaison between technical and non-technical teams, translating business needs into technical requirements.
• Present product updates, reporting insights, and metrics to executives and cross-functional teams.
• Facilitate decision-making on trade-offs related to data availability, accuracy, and reporting timelines.

Qualifications and Requirements

• Experience: 5+ years in product management, data, analytics, or reporting platforms, with a focus on data-driven products. Proven experience delivering customer-facing reporting products, dashboards, and internal analytics solutions.
• Data Expertise: Strong understanding of data privacy, governance, and compliance frameworks (*, GDPR, PDPL). Hands-on experience with data warehouses such as ClickHouse, Vertica, or Snowflake, and BI tools like Metabase, Tableau, Looker, Power BI, or Sigma. Strong SQL skills and a solid 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.
• Technical Understanding: Understanding of data quality, data integrity, scalability, and performance considerations in reporting solutions. Ability to balance performance, usability, scalability, and cost when designing data and reporting solutions.
• Collaboration & Communication: Experience working cross-functionally with data engineers, analysts, product teams, UX, and business stakeholders. Strong communication and stakeholder management skills, with the ability to translate complex data concepts into clear business requirements and insights. Proven ability to lead cross-functional discussions and align stakeholders around data strategy.
• Education: Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.

AI Proficiency (Minimum Level: L4 - Proficient)

• Applies AI across product discovery, specification, prototyping, and stakeholder communication, ensuring accuracy of all outputs.
• Uses AI to accelerate research, specifications, and prototyping.
• Possesses hands-on experience with Claude and Lovable.
• Writes structured prompts and refines them rather than manually patching outputs.
• Synthesizes interviews, tickets, and reviews into themes and testable insights, validating each against source data.
• Drafts PRDs, user stories, and executive updates with AI as a first-draft partner, verifying all claims and numbers.
• Builds clickable prototypes in Lovable to validate ideas, clarifying that prototypes are not production-ready.
• Understands AI agent construction (prompts, tools, memory, guardrails) and identifies workflows for automation.
• Identifies AI risks (hallucination, bias, data privacy, over-reliance) and distinguishes appropriate AI-assisted tasks.

Desired Character Traits

• Analytical thinking and problem-solving.
• Ownership and accountability.
• Effective communication across teams.
• Collaborative work style.
• Adaptability and continuous learning.
• Mentorship and knowledge sharing.
• Resilience under pressure.
• Commitment to quality and attention to detail.
• Advocacy for best practices and innovation.