Product Owner Data and Analytics MEESA at Danone

You will be responsible for:

Strategic Leadership

• Data Mindset: Drives the usage/adoption of the Data products through underlying methodologies including usage of test & learn approach, user centricity, data & analytics, and automation.
• External Perspective: Brings the "outside-In" by identifying key partnerships with leading data and technology providers to bring industry best practices to Danone.

Delivering Change

• Data products delivery: Accountable for the delivery of data products capabilities supporting the functional strategy (on time, in scope, on budget). Ensure management of Data Products through lifecycle.
• SSOT activation: Responsible for the utilization across markets of the Single Source of Truth Strategy
• Promotes Data & Analytics: Takes an active role in promoting and communicating about data products and data strategy across all communication channels.

Operational Excellence

• Scoping: Ensure scoping and functional design is delivered and supports project squads with delivery of strategic projects with respect of agreed timeline and budget
• Backlog: Builds and manages the backlog of user’s stories/requirements and prioritizes for development accordingly.
• MVPs: Maximizes efficiency in a constantly evolving environment using Minimal Viable Product delivery, and rapid prototyping.
• Links deliverables to vision: Provides customer and business context to the delivery teams, empowering them explore creative solutions, whilst simultaneously, ensuring the team delivers against scope and time commitments.
• Value added: Possesses a strong analytical background, and ability to deliver value to end users.
• Product innovation: Identify new opportunities to enhance current operating processes and implement strategies to address those opportunities.

About The Job

• Defining Data Analytics product strategy for a functional domain.
• Managing Data Products end to end lifecycle (from ideation phase to decommissioning phase).
• Maximizing ROI by identifying and prioritizing the product features by business value.
• Working closely with Business or Process Owner to define product strategy, and with Scrum Product.
• Own and manage product backlog and to report the performance of products and applications.
• Be proficient in the business processes that collect data and those that use data.
• Be an expert in understanding and communicating data lineage, where they come from, their data quality, their transformation and where they are used, why they are used.
• Developing and managing business requirements, writing user stories, and communicating vision to developers and testers.
• Leveraging Agile methodologies in the product development phases.
• Defining product cost models and assuring control of the budget and costs of data products.
• Being determined to become an inspiration to business or process end users of data and analytics and their management.
• Managing the total cost of product development, ownership, and user unit cost including spend on vendors and services provided by other platforms within Danone (IT, Enterprise architecture, etc.)
• Defining support model for the product in collaboration with Global Data & Analytics DevOps team.
• Liaise with Solution & Data Architects on Data Architecture.
• Liaise with Data Excellence team on Data Governance.
• Liaise with Data Science team on AI.
• Work with project squads to support delivery of strategic projects with respect of agreed timeline & budget, ensuring proper scoping and functional design.

Requirements

• Proven track record of implementing Data products related to data in the areas of sell-out Market share (Nielsen, IRI), Media, Finance, Supply chain, TPM, In Store Execution, e-Commerce etc, and experience in integrating sources with standard MDM principles.
• Ability to demonstrate a mix of technical skills and business processes knowledge and proven experience in rolling out a data product in multiple markets. Essential to have experience in data catalogue documentation and manage the product use throughout all the stages of the product lifecycle.
• Experience working with Data Architects, Ingestion, Data scientists and Visualization teams. Ability to define user stories and prioritizing backlog in accordance with vision of the product.
• Strong ability to connect and federate distinct stakeholders in a complex organization, managing stakeholders from Global, Local, Business and IT colleagues.

About You

• Bachelor’s degree in computer science, Information Systems, Information technology, or equivalent field of study.
• Minimum 7 years of work experience in IT Data & Analytics.
• (Preferred) Waterfall and Agile methodology experience.
• (Preferred) Previous experience working in Product Teams.
• (Preferred) Transversal knowledge of modern Data organization (Data Warehousing, Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, Unstructured Data, ETL/ELT) & Cloud Data technologies (Azure, AWS, Snowflake, Informatica).
• Proficiency in English, excellent written and communication skills
• Capability to express complex data concepts into business language for stakeholder management.