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, focusing on business communication solutions. The company's engineering team is responsible for developing and maintaining the systems that drive Unifonic’s offerings. This Product Manager - Data & Insights role is a full-time position based in Riyadh, Riyadh Province, requiring 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 position integrates product management, data engineering, and analytics, with a focus on delivering intuitive, reliable, and scalable reporting experiences for both 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 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 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 business questions into 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 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 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.
• 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.
• Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.

AI Proficiency and Character Traits

• Applies AI across product discovery, specification, prototyping, and stakeholder communication, ensuring accuracy of outputs.
• Uses AI to accelerate research, specifications, and prototyping, and is proficient with tools like Claude and Lovable.
• Writes structured prompts and refines them, synthesizing insights from various sources and validating against source data.
• Drafts PRDs, user stories, and executive updates using AI as a first-draft partner, verifying all claims.
• Builds clickable prototypes in Lovable for idea validation and understands AI agent construction (prompts, tools, memory, guardrails).
• Identifies AI risks (hallucination, bias, data privacy, over-reliance) and discerns appropriate AI-assisted workflows.
• Demonstrates analytical thinking, problem-solving, ownership, accountability, and clear communication.
• Exhibits collaboration, adaptability, continuous learning, mentorship, and knowledge sharing.
• Maintains resilience under pressure, focuses on quality and attention to detail, and advocates for innovation.

Work Environment

Unifonic fosters a collaborative work environment where creativity and new ideas are encouraged. The team consists of over 400 professionals dedicated to serving more than 5000 customer-centric companies. This role is part of the Engineering team, contributing to cutting-edge communication and engagement solutions.