Danone IT & Data is seeking for Head of Data & Analytics, AMEA CNAO (Asia, Middle East Africa, China, North Asia, Oceania)  based in Turkey. 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 our organization. Take this opportunity to grow together and experience a culture that empowers you to express your ideas and share what you are passionate about. 

In this role, the individual will not have a direct team reporting but will be expected to demonstrate strong people management capabilities by leading cross-functional teams and driving key agendas across multiple stakeholders.

In this role you will;

• Strategic Leadership

Data Mindset: Drives the usage and adoption of Data products through underlying methodologies including usage of test and learn approach, leveraging the benefits of SSOT (single source of truth}, user centricity, data & analytics and automation

• 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, including migration of legacy platforms into cloud leveraging on enterprise applications and framework.

•  Defining Data Analytics product strategy for functional domains of Commercial Sales, Marketing, Finance, Supply Chain and HR in AMEA markets.
• 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 also 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, collaborate with Product Analyst to write 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 (Infra, Data Platform, etc.)
• Defining support model for the product in collaboration with Global Data & Analytics team.
• Liaise with Solution & Data Architects on Data Architecture.
• Liaise with Data Management team on Data Governance and Data Quality.
• Liaise with Data Science team on AI.
• Work with product squads to support delivery of strategic projects with respect of agreed timeline and budget, ensuring proper scoping and functional design.

• Bachelor’s Degree in Computer Science, Information Systems, Information Technology, or a related field.

• Minimum 10 years of work experience in IT Data & Analytics.

• Experience with both Waterfall and Agile methodologies.

• Previous experience working in Product Teams.

• Transversal knowledge of modern Data organization (Data Warehousing, Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, Unstructured Data, ETL/ELT) and Cloud Data technologies (Azure, AWS, Snowflake, Informatica), as well as managing SQL data servers.

• Proficiency in English, with excellent written and communication skills.

• Capability to express complex data concepts into business language for effective stakeholder management.

• Proven experience in implementing data products for Commercial Sales, Marketing, Finance, and Supply Chain, with expertise in integrating sources using standard MDM principles.

• Strong mix of technical skills and business process knowledge, with a track record of rolling out data products across multiple markets and managing them throughout the product lifecycle.

• Experience collaborating with Data Architects, Ingestion teams, Data Scientists, and Visualization teams, and prioritizing backlogs according to product vision.

• Ability to manage relationships with diverse stakeholders across global, regional, local, business, and IT teams.