Job Description
The Data Product Manager is responsible for managing end-to-end AI and Business Intelligence products to support decision-making and enhance operational efficiency at the enterprise level. This role acts as a bridge between business needs and AI, data, and analytics capabilities, transforming business problems into scalable AI workflows, dashboards, and reporting solutions. The position combines product management thinking, data understanding, and hands-on prototyping capability to deliver practical value and high impact.
Key Responsibilities
AI & Data Product Management
- Own the full lifecycle of AI and data products, from discovery, use case definition, implementation, go-live, to performance measurement.
- Collaborate closely with stakeholders (HR, Finance, Accounting, IT, Leadership) to identify suitable problems for AI or data-driven solutions, clarify expected value, success criteria, and constraints.
- Define product vision, roadmap, and backlog for AI initiatives, balancing experimentation, feasibility, and business impact.
- Work directly with AI Engineers, Software Engineers, Data Analysts, and Solution Architects to translate business requirements into clear product specifications and prioritized implementation plans.
- Validate AI use cases through PoCs and prototypes, ensuring solutions are practical, explainable, and aligned with governance, security, and data availability requirements.
- Measure and communicate AI product effectiveness by tracking adoption, performance, and business impact.
Business Intelligence & Reporting
- Act as Product Owner for BI assets, including dashboards, reports, and KPI systems used across functional departments.
- Define and maintain KPIs, metric definitions, and reporting logic to ensure consistency, accuracy, and alignment with business needs.
- Manage the BI backlog, prioritizing dashboard enhancements, new reporting requirements, and data upgrades based on stakeholder value.
- Collaborate with Data Analysts and Engineers to ensure ETL pipelines, data models, and visualizations support stable and scalable reporting needs.
- Review and validate dashboards on Tableau and Power BI to ensure clarity, usability, and effective decision support.
- Drive BI product adoption by guiding users on proper usage and ensuring clear understanding of data limitations and dashboard constraints.
Requirements
- Bachelor's degree in Information Systems, Computer Science, Data Science, or a related field.
- 35 years of experience in Product Management, Data Product, BI Product, or data-related roles.
- Experience working closely with business stakeholders, with the ability to translate ambiguous problems into concrete product requirements and measurable outcomes.
- Strong data foundation, including understanding of ETL concepts, data modeling, and how data flows from source systems to dashboards/reports.
- Hands-on experience with data visualization tools such as Tableau and/or Power BI, with the ability to review and challenge dashboard logic and design.
- Understanding of AI and Machine Learning concepts, including LLM-based use cases and applied AI workflows (no deep research background required).
- Experience using low-code/no-code tools to prototype AI workflows, dashboards, or AI-enabled processes.
- Ability to work effectively with engineers and system architects, understanding technical trade-offs without necessarily writing production code.
- Strong prioritization, communication, and stakeholder management skills, especially in business-driven environments.
- Structured, practical mindset focused on building usable products that create real value rather than merely experimenting with technology.
