Product Manager - Data & Insights

Responsibilities

• Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
• As a Product Manager, Data & Insights, you will lead the development of both customer-facing dashboards and internal reporting systems. This role sits at the intersection of product management, data engineering, and analytics, responsible for delivering intuitive, reliable, and scalable reporting experiences for both external users and internal stakeholders.
• You will own the end-to-end product lifecycle for reporting capabilities—from customer research and data modeling through to delivery, governance, and continuous improvement. You will partner closely with data engineers, analysts, UX teams, and business stakeholders to build a robust data ecosystem that enables self-service analytics, supports compliance requirements, and delivers meaningful insights for executive decision-making.
• You will also champion and lead data compliance initiatives across all Unifonic products, ensuring that data is managed responsibly, securely, and in alignment with organizational and regulatory requirements.
• Defining and executing the roadmap for customer-facing analytics, reporting portals, and internal reporting infrastructure. Align reporting solutions with business goals and customer needs. Collaborate with leadership to prioritize initiatives based on impact, complexity, and business value. Be an advisor for other Product teams in data strategy and design.
• Developing detailed feature requirements, user stories, acceptance criteria, and data contracts for reporting systems. Translate ambiguous business questions into well-defined reporting needs and KPIs.
• Partnering closely with data engineers to co-develop data models and data marts in the data warehouse (e.g., Snowflake, Qlik, Vertica). Understand schema design and how it impacts performance, usability, and extensibility of data reporting systems. Influence architectural decisions around extract-transform-load (ETL/ELT) processes and dimensional modeling.
• Defining processes for data quality verification and anomaly detection in collaboration with engineering and analytics teams. Be an advocate for data accuracy and a watchdog for misleading or incomplete insights.
• Defining self-service analytics capabilities for internal teams. Create feedback loops to continually improve dashboard usability and relevance for both internal and external users.
• 5+ years of experience in product management, data, analytics, or reporting platforms, with a strong focus on data-driven products.

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