Product Owner Data Foundations

Product Owner Data Foundations- Area: Digital
Job family: Product Ownership
GSMS Grade: M4
Number of Personnel Managed: n/a
Cost Center/Budget and/or Revenue Responsibility: tbd- Department: Global Sales - Digital - Digital Growth
Direct Reporting Line: Senior Product Owner
Indirect/secondary reporting line:
- Subsidiary/country: India
Location: Gurgaon-
General Purpose
- As a Product Owner in digital you are responsible for the quality and strategic impact of a foundational data product. Together with your agiles teams you work on continuously improving and evolving the product in order to optimize the value for the user and business.- Your products will make or break all Trading Growth products. It’s only with refined, consistently available data that meaningful insights can be generated. Sitting at the intersection of ad-hoc market reports and long-term proprietary software, we’re building the next generation of trading intelligence products - and you its data.-
Key Responsibilities
- Scope: Accountable for a digital product of medium complexity and specific analytic deliverables or services-
Product Strategy & Delivery
-Be accountable for the success of trading data foundations, considering the value for the consumer and the company (ROI).
-Specify the product vision and roadmap as well as user stories considering the value for the consumer and the company as well as its role and impact on the adidas digital ecosystem.
-Be accountable for product delivery in line with the roadmap and committed delivery dates.
-Identify and solve dependencies with other product owners to ensure efficient delivery.
-Manage data integration & validation into the data platforms used by the Trading Growth products.
-Develop & maintain horizontal data capabilities like data quality framework, development guidelines, and CI/CD templates.
-Stakeholder Management
-Represent the business for the product, fostering strong relationships with key stakeholders to ensure that their views and requirements are captured in the product backlog.
-Provide stakeholders with actionable recommendations and calls for action based on your gathered insights. Translate gathered insights into engaging, actionable and easy to digest insights presentations.
-Backlog Management
-Prioritize the items in your product backlog. Specify the definition-of-done in cooperation with the product team.
-Own the refinement of your product backlog to ensure that the product team is delivering the right enhancements to drive consumer and business value.
-Provide acceptance for delivered backlog items by the team, in line with the definition-of-done.
-Monitoring
-Be accountable for monitoring, optimization and enhancement of the configuration, features and functionalities related to the product.
-Use data sources and feedback loops to ensure the team focuses on the right enhancements.
-Key Relationships:

-Trading Growth product teams
-Big Data Engineering teams
-Platform Engineering
-Global and Local market teams
-IT teams
-Requirements
-Education & Experience
-Degree with focus on Data Engineering, Business, IT or related areas, or equivalent combination of education and experience
-2+ years working as a Product Owner or product management related role, preferably in an Digital and/or eCommerce environment
-2+ years of experience in Data Engineering
-Experience working with stakeholders and experts at various organizational levels
-Experience in creating strong internal business cases to support investment and internal resource requests
-Soft-Skills
-Good communication skills and comfortable presenting to stakeholders at various organizational levels both in person and remotely
-Solutions-oriented approach and entrepreneurial mindset
-A passion for delivering data-based recommendations for quantifiable improvements in business results and consumer satisfaction.
-Solid presentation skills and storytelling
-Basic leadership skills are a plus
-Hard-Skills
-Advanced domain knowledge in Big Data Engineering
-Advanced knowledge of Agile working methods e.g. Scrum/Kanban
-Experience with data engineering tools and disciplines (SQL, Scala, PySpark, etc.).
-Experience with CI/CD techniques.
-Comfortable working with enterprise-level platforms and technologies
-Solid understanding of IT
-Fluent in English both verbally and written

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

COURAGE: Speak up when you see an opportunity; step up when you see a need..

OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.

INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing