Product Manager Data & Insights

About Unifonic

Unifonic is a CPaaS (Communication Platform as a Service) company focused on business communication solutions. The team comprises over 400 individuals dedicated to serving more than 5000 customer-centric companies. Unifonic fosters a collaborative work environment that encourages creativity and new ideas. The company has been recognized as a Great Place to Work®.

The Role: Product Manager - Data & Insights

As a Product Manager, Data & Insights at Unifonic, you will lead the development of both customer-facing dashboards and internal reporting systems. This full-time role, based in Riyadh, Riyadh Province, requires 5-10 years of experience and sits at the intersection of product management, data engineering, and analytics. You will be responsible for delivering intuitive, reliable, and scalable reporting experiences for external users and internal stakeholders. The position involves owning the end-to-end product lifecycle for reporting capabilities, from customer research and data modeling to delivery, governance, and continuous improvement. You will also champion and lead 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 value.
• Act as an advisor for other Product teams in 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 data warehouses (*, Snowflake, Qlik, Vertica).
• Influence architectural decisions related to 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.
• 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 for continuous improvement.
• 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.

Qualifications and Requirements

• 5+ years of experience 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.
• 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 beneficial.
• Understanding of data quality, data integrity, scalability, and performance considerations for 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.
• Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.

AI Proficiency and Character Traits

• AI Proficiency (L4 - Proficient): Applies AI across product discovery, specification, prototyping, and stakeholder communication. Uses AI to speed up research, specs, and prototyping, while personally owning the accuracy of every output. Experience with Claude and Lovable is preferred.
• Analytical Thinking and Problem-Solving: Approaches problems clearly, uses data, and finds solutions.
• Ownership and Accountability: Takes responsibility and follows projects through to completion.
• Communication and Collaboration: Explains ideas clearly, listens to others across teams, and works well with colleagues to support team goals.
• Adaptability and Learning: Adjusts to change and continuously acquires new skills or tools.
• Quality and Attention to Detail: Executes work carefully and strives for continuous improvement.

Work Environment

The Engineering team at Unifonic is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. This role involves close collaboration with other departments to meet customer needs. Unifonic fosters a fun and collaborative environment, encouraging creativity and new ideas. As shareholders, employees are integral to the company's growth.