Group Technical Product Owner

RBGlobal•Newnan, GA

4d•$112,680 - $140,800

About The Position

The Group Technical Product Owner leads a portfolio of enterprise data products that support analytics, operational reporting, financial insights, customer intelligence, and AI/ML use cases. Working at the intersection of Product, Data Engineering, and the Business, this role owns data product roadmaps, defines governed data models, and ensures the modern data platform delivers measurable business outcomes. The role operates at a portfolio level, driving reusable and scalable data products across financial and revenue reporting, sales and customer performance, asset and transactional data, behavioral and clickstream data, and operational metrics. It is a strategic position focused on building trusted, AI-ready enterprise data foundations. The Group Technical Product Owner defines and manages roadmaps, translates business problems into scalable data models, prioritizes work based on business value and platform health, and aligns Product, Engineering, Analytics, and Business leaders. The role partners with Data Engineering on governed data models, pipelines, and semantic layers; owns backlog refinement and acceptance criteria; and establishes consistent metric definitions, lineage, and data quality standards. The role also drives adoption of a governed semantic layer, reduces duplicated metrics and fragmented reporting logic, enables self-service analytics within guardrails, and defines data contracts and standards across domains. It ensures data products can support personalization, predictive models, and AI/LLM initiatives, partnering with analytics and data science teams to provide high-quality reusable inputs. Within 12 months, success includes establishing governed, reusable data products across key domains; reducing metric duplication and inconsistent reporting; improving dashboard and reporting delivery velocity; enabling trusted self-service analytics; and strengthening the foundation for AI and advanced analytics initiatives.

Requirements

At least 5 years of experience in Technical Product Ownership, Data Product Management, or similar roles.
Experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, or Azure Synapse.
Strong understanding of dimensional modeling, domain modeling, and metric governance.
Experience working with BI and semantic layer tools such as Looker, Tableau, Power BI, or dbt.
Experience owning roadmaps and prioritizing based on measurable business impact.
Ability to frame problems clearly and define value hypotheses.
Strong stakeholder management across technical and business audiences.
Comfort navigating ambiguity and driving clarity.
Strong communication skills, including explaining trade-offs between speed, quality, and scalability.
Ability to influence without formal authority.

Responsibilities

Define and manage roadmaps for a portfolio of enterprise data products.
Translate business problems into scalable, reusable data models.
Prioritize work based on business value, architectural integrity, and long-term platform health.
Drive alignment across Product, Engineering, Analytics, and Business leaders.
Partner with Data Engineering to design governed data models, pipelines, and semantic layers.
Own backlog refinement and acceptance criteria for data product increments.
Ensure consistent metric definitions, lineage, and data quality standards.
Balance short-term reporting needs with long-term scalability.
Drive adoption of a governed semantic layer as the source of truth for enterprise KPIs.
Reduce metric duplication and fragmented reporting logic.
Enable self-service analytics within structured guardrails.
Define and enforce data contracts and standards across domains.
Ensure data products are structured to support personalization, predictive models, and AI/LLM initiatives.
Partner with analytics and data science teams to provide high-quality, reusable inputs.
Promote an AI-ready data ecosystem through strong modeling and governance.
Mentor junior product owners or analysts.