Data Product Owner at a glance
Get a high-level view of Data Product Owner.
Data Product Owner
Let's get you going on the road to success, Data Product Owner. Here's your curated fast track to what you need to know and where you need to go!
What does Data Product Owner do?
You're responsible for overseeing the development and management of data products, ensuring alignment with organizational objectives and delivering measurable value. You act as a bridge between technical and business teams, translating requirements into actionable tasks and strategies. This role ensures that data products not only meet critical objectives but also deliver a strong return on investment through strategic data solutions.
What other roles does a Data Product Owner work with?
A Data Product Owner plays a central role in driving data strategy and execution. Your work connects multiple stakeholders to ensure the success of data initiatives:
By bridging these roles, you ensure the delivery of impactful and value-driven data products.
What Reltio products and applications do Data Product Owner use?
Here are the tools of the trade for Data Product Owners.
What other skills/tools does a Data Product Owner employ?
- Technical skills
- Proficient in SQL, Python, and R for data analysis and strategy development. Experienced with data visualization tools such as Tableau and Power BI. Knowledgeable in machine learning algorithms and cloud platforms (e.g., AWS, Azure).
- Soft skills
- Strong leadership and stakeholder management abilities. Effective communication to bridge technical and non-technical teams. Analytical thinking and a problem-solving mindset to tackle complex challenges.
What objectives are a Data Steward concerned with?
Use the Reltio Data Cloud to meet your Data Product Owner responsibilities by driving impactful data solutions aligned with business goals.
| Role objective | Description | Find out how |
|---|---|---|
| Strategic Alignment | Define and align data strategies with business needs and market trends. | |
| Requirement translation | Translate stakeholder needs into actionable tasks and prioritize initiatives for impact. | |
| Team collaboration | Lead cross-functional teams to build and enhance data products. | |
| Quality assurance | Ensure data integrity and reliability in all product deliverables. | Data Quality dashboard a glance |
| Lifecycle management | Oversee the full lifecycle of data products, from concept to maintenance. |