Product Manager Data & Insights

About Unifonic

Unifonic is a CPaaS (Communication Platform as a Service) company with over 400 employees, recognized as a Great Place to Work®. The company focuses on business communication solutions, serving over 5000 customer-centric companies. The Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions, working with other departments to meet customer needs.

The Role: Product Manager - Data & Insights

Unifonic is seeking a Product Manager - Data & Insights to lead the development of both customer-facing dashboards and internal reporting systems. This full-time position is based in Riyadh, Riyadh Province, and requires 5-10 years of experience. The role involves managing the end-to-end product lifecycle for reporting capabilities, from customer research and data modeling to delivery, governance, and continuous improvement. The Product Manager will collaborate with data engineers, analysts, UX teams, and business stakeholders to build a robust data ecosystem and 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, complexity, and business value.
• Advise other Product teams on data strategy and design.
• Collect business and technical requirements from cross-functional stakeholders (Finance, Operations, Customer Success, Product, 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 data warehouses (*, Snowflake, Qlik, Vertica).
• Understand schema design and its impact on performance, usability, and extensibility of data reporting systems.
• Influence architectural decisions around 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.
• Own 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 and relevance.
• Act as a bridge between technical and non-technical teams, translating business needs into technical requirements and vice versa.
• 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

• 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, and BI tools such as 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.
• Understanding of data quality, data integrity, scalability, and performance considerations when building reporting solutions.
• 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 when designing data and reporting solutions.
• 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, align stakeholders around data strategy, and communicate reporting goals and insights effectively.

AI Proficiency and Character Traits

Candidates should demonstrate a minimum of L4 (Proficient) AI proficiency, applying AI across product discovery, specification, prototyping, and stakeholder communication. This includes using AI to speed up research, specs, and prototyping, while personally owning the accuracy of every output. Hands-on experience with Claude and Lovable is required, along with the ability to write structured prompts and refine them. The role also requires synthesizing interviews, tickets, and reviews into themes and testable insights, validating every insight against source data. Character traits include analytical thinking, problem-solving, ownership, accountability, strong communication, collaboration, adaptability, continuous learning, mentorship, knowledge sharing, resilience, quality, attention to detail, advocacy, and innovation.

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia. Unifonic fosters a collaborative work environment that encourages creativity and new ideas.