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 designing, developing, and maintaining the systems that drive Unifonic’s solutions. This Full-time Product Manager - Data & Insights position 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 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.
• 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 data warehouses (*, 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.
• 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 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

• 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 (*, GDPR, PDPL).
• Experience working cross-functionally with data engineers, analysts, product teams, UX, and business stakeholders.
• Hands-on experience with data warehouses (*, ClickHouse, Vertica, Snowflake) and BI tools (*, Metabase, Tableau, Looker, Power BI, 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 in 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 in data and reporting solution design.
• Strong communication and stakeholder management skills.
• Proven ability to lead cross-functional discussions and align stakeholders around data strategy.
• Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.

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 accelerate research, specs, and prototyping, while personally ensuring the accuracy of all outputs. Experience with Claude and Lovable, writing structured prompts, and synthesizing insights from various sources with validation against source data is expected. The role requires drafting PRDs, user stories, and executive updates with AI as a first-draft partner, verifying all claims and numbers. Building clickable prototypes in Lovable and understanding AI agent construction, along with identifying and flagging AI risks, are also key. Essential character traits include analytical thinking, problem-solving, ownership, accountability, clear communication, collaboration, adaptability, continuous learning, mentorship, resilience, attention to quality and detail, and advocacy for innovation.