Product Manager – Data & Insights

This is a fully remote position, open to applicants in Saudi Arabia, +1 more country.

📋 Description

• Oversee the development of dashboards for customers and internal reporting systems.

• Manage the complete product lifecycle for reporting functionalities, encompassing customer research, data modeling, delivery, governance, and ongoing enhancements.

• Establish and implement the roadmap for customer-centric analytics, reporting portals, and internal reporting frameworks.

• Ensure alignment of reporting solutions with organizational objectives and customer requirements.

• Work with leadership to prioritize projects based on their impact, complexity, and business value.

• Provide guidance to other Product teams regarding data strategy and design.

• Gather business and technical requirements from Finance, Operations, Customer Success, Product, and Engineering teams.

• Create feature specifications, user stories, acceptance criteria, and data contracts.

• Convert unclear business inquiries into reporting needs and relevant KPIs.

• Collaborate with data engineers to co-create data models and data marts within the data warehouse.

• Influence architectural decisions related to ETL/ELT and dimensional modeling.

• Uphold and implement data governance standards, including definitions, taxonomy, lineage, and version control.

• Establish processes for data quality verification and anomaly detection.

• Manage the product experience and lifecycle for reporting and BI platforms.

• Define self-service analytics functionalities for internal teams.

• Develop feedback mechanisms to enhance dashboard usability and relevance.

• Act as a liaison between technical and non-technical teams.

• Present product updates, reporting insights, and metrics to executives and cross-functional teams.

• Facilitate decision-making regarding trade-offs involving data availability, accuracy, and reporting timelines.

⛳️ Requirements

• Over 5 years of experience in product management, data, analytics, or reporting platforms, with a strong emphasis on data-driven products.

• Demonstrated success in delivering customer-facing reporting products, dashboards, and internal analytics solutions.

• Comprehensive understanding of data privacy, governance, and compliance frameworks, including GDPR and PDPL.

• Experience working across functions with data engineers, analysts, product teams, UX, and business stakeholders.

• Practical experience with data warehouses such as ClickHouse, Vertica, or Snowflake.

• Proficient with BI tools such as Metabase, Tableau, Looker, Power BI, or Sigma.

• Strong SQL skills and knowledge of data modeling concepts, including fact and dimension tables and star schemas.

• Familiarity with ELT pipelines, dbt, and data orchestration tools is advantageous.

• Understanding of data quality, data integrity, scalability, and performance considerations.

• Ability to define business KPIs and translate business and reporting needs into precise data and product specifications.

• Experience contributing to data governance, data integrity, and compliance efforts.

• Capability to balance performance, usability, scalability, and cost.

• Excellent communication and stakeholder management abilities.

• Proven track record of leading cross-functional discussions and effectively communicating reporting goals and insights.

• Bachelor’s degree in Computer Science, Data Science, Business, Engineering, or a related field.

• Minimum AI proficiency level L4 (Proficient).

• Hands-on experience with Claude and Lovable.

• Competence in writing structured prompts and refining prompts instead of manually adjusting outputs.

• Ability to validate insights against source data.

• Experience drafting PRDs, user stories, and executive updates with AI assistance while ensuring accuracy of claims and figures.

• Ability to create clickable prototypes in Lovable.

• Understanding of AI agents, including prompts, tools, memory, and guardrails.

• Ability to recognize AI risks including hallucination, bias, data privacy issues, and over-reliance.

• Strong SQL and data analysis capabilities.

• Knowledge of data modeling, dimensional modeling, data marts, and data pipelines.

• Understanding of ETL/ELT, dbt, and data orchestration.

• Knowledge of data governance, quality, lineage, and compliance.

• Familiarity with GDPR, PDPL, and data privacy principles.

• Ability to define KPIs, data requirements, data contracts, and reporting specifications.

• Understanding of scalable, high-performance, and cost-effective reporting architectures.

🏝️ Benefits

• Competitive salary and bonus structure.

• Participation in the Unifonic share scheme.

• 30 vacation days after the first year of employment.

• A day off on your birthday.

• Flexibility to work from anywhere in the world for up to 25 days per year.

• Paid leave for new parents.