Data Product Owner

Data Product Owner

MANDATE

. Accountable and responsible of the delivery of the share domain data assets to ensure accessibility of data needed for use cases (including data integration, acquisition, cleansing, harmonization and structuring in layers of data platform)

. Work closely with the Data factories, Domain PMO and use case Product Owners

. Prioritize roadmap/backlog in Agile delivery mode with the data factory engineer and API Center of Expertise

KEY RESPONSIBILITIES

Organization

. Define shared data set and API roadmap. Prioritize according to use case needs with Use case Product Owner and data factory. The resulting data model must be agnostic of the use cases.

. Assemble large, complex data sets that meet functional business requirements.

. Identify integration needs for further use cases data acquisition. Work with IT Data Custodian and Data factory to source the data

. Maintain an up-to-date shared data set (life cycle management)

. Define and plan remediation and enhancement in run phase

Deliverables

. Manage and prioritize the shared dataset backlog

. Prepare data for use cases by specifying governed Business Objects

. Document these in Discovery

. Co-design analytics tools with use case Product Owner

. Define and track key success metrics

. Create test scenarios and supervise data validation with testing factory

REQUIRED SKILLS

Soft Skills

. Self-driven and comfortable to make appropriate decisions supporting the data needs of multiple teams, systems and products across different use cases

Data-related technical skills

. Strong analytical skills

. A combination of data management and business knowledge to be able to translate the use case needs into data driven solutions

. Ability to build processes supporting data transformation, data structures, metadata, and dependency

Project management

. Strong Agile project management and organizational skills

. Experience supporting and working with cross-functional teams in a dynamic environment

Tools & programming

. SQL

. Google Cloud Platform

. Python and R (for R&I)