Product Owner Data and Analytics MEESA

Danone; Johannesburg; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

An established industry player is on the lookout for a dynamic Product Owner specializing in Data & Analytics. This role offers the chance to lead strategic initiatives, drive the adoption of innovative data products, and ensure operational excellence across various markets. You will collaborate with cross-functional teams, leveraging your technical expertise and business acumen to deliver impactful solutions. Join a vibrant culture that values your ideas and empowers you to grow while making a significant contribution to the organization’s mission of enhancing health through food. If you are passionate about data and eager to make a difference, this opportunity is perfect for you.

Qualifications

• 7+ years of experience in IT Data & Analytics with proven track record.
• Expertise in data product lifecycle and Agile methodologies.

Responsibilities

• Define and manage Data Analytics product strategy and lifecycle.
• Drive adoption of data products and manage stakeholder relationships.

Skills

Data Analysis

Stakeholder Management

Agile Methodologies

Product Management

Data Governance

Analytical Skills

Education

Bachelor's degree in Computer Science

Information Systems

Information Technology

Tools

Azure

AWS

Snowflake

Informatica

Job description

Danone Business Services is seeking for Product Owner - Data & Analytics, MEESA, based in South Africa. With our global presence, brands and business and our mission of bringing health through food to as many people as possible; we believe that people growth is a key asset to reach a sustainable business performance.

To succeed in this journey, we're looking for the right talent and personalities eager to bring their energy and ideas to a meaningful project. Take this opportunity to GROW together and experience a culture that empowers you to express your ideas and share what you are passionate about!

About You

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 to 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).
• 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.