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Product Owner Data and Analytics MEESA

2 months ago

Johannesburg, Gauteng, South Africa Danone Full time

About the Role

Danone is seeking a Product Owner - Data & Analytics, MEESA, based in South Africa. As a key member of our team, you will play a crucial role in driving business growth through data-driven decision making.

Key Responsibilities

  • Strategic Leadership
    • Data Mindset: Develop and implement data-driven strategies to drive business growth and improve operational efficiency.
    • External Perspective: Identify and partner with leading data and technology providers to bring industry best practices to Danone.
  • Delivering Change
    • Data Products Delivery: Oversee the development and delivery of data products capabilities supporting the functional strategy.
    • SSOT Activation: Ensure the utilization of the Single Source of Truth Strategy across markets.
    • Promotes Data & Analytics: Take 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.
    • Backlog: Build and manage the backlog of user stories/requirements and prioritize for development accordingly.
    • MVPs: Maximize efficiency in a constantly evolving environment using Minimal Viable Product delivery, and rapid prototyping.
    • Links Deliverables to Vision: Provide customer and business context to the delivery teams, empowering them to explore creative solutions.
    • Value Added: Possess 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

  • Define Data Analytics product strategy for a functional domain.
  • Manage Data Products end-to-end lifecycle (from ideation phase to decommissioning phase).
  • Maximize ROI by identifying and prioritizing the product features by business value.
  • Work closely with Business or Process Owner to define product strategy, and with Scrum Product.
  • Own and manage product backlog and 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.
  • Develop and manage business requirements, write user stories, and communicate vision to developers and testers.
  • Leverage Agile methodologies in the product development phases.
  • Define product cost models and assure control of the budget and costs of data products.
  • Be determined to become an inspiration to business or process end users of data and analytics and their management.
  • Manage 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.).
  • Define 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.
  • 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 experience in Waterfall and Agile methodology.
  • Preferred 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.