Product Manager Data & Insights

About Unifonic and the Role

Unifonic is a CPaaS company focused on business communication solutions, serving over 5000 customer-centric companies. The company fosters a collaborative work environment. We are seeking a Product Manager - Data & Insights to join our team in Riyadh, Riyadh Province. This full-time role requires 5-10 years of experience and involves leading the development of both customer-facing dashboards and internal reporting systems.

Role Overview

The Product Manager, Data & Insights will operate at the intersection of product management, data engineering, and analytics. This position is responsible for delivering intuitive, reliable, and scalable reporting experiences for external users and internal stakeholders. The role involves owning the end-to-end product lifecycle for reporting capabilities, from customer research and data modeling through to delivery, governance, and continuous improvement. The Product Manager 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, collaborating with leadership to prioritize initiatives.
• 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 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).
• 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.
• 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: Minimum Level: L4 (Proficient). Applies AI across product discovery, specification, prototyping, and stakeholder communication.

Desired Character Traits

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

Work Environment

The Engineering team at Unifonic designs, develops, and maintains the systems and technologies that drive the company’s solutions, working closely with other departments to meet customer needs. This role is a full-time position within this team.