D&T Lead Production Data

This role is part of the D&T department of HEINEKEN International and is in
Heineken Global Shared Service, Within Global Technology Supply Chain in D&T,
we are looking for an enthusiastic and experienced Product Lead to guide our
Smart Brewery Services.
D&T Org. is proud to bring cutting-edge innovation, strong technology and
advanced analytics to HEINEKEN. With speed and agility, we ensure HEINEKEN has
the technological competitive advantages it needs to deliver on its ambition.
The Smart Brewery is an industrial facility with very high efficiency, very low
maintenance time that can be monitored, diagnosed, and improved on site or
remotely thanks to digital.

You will lead the Industrial IoT Production product team (Production Data
Platform) from Connected Brewery Portfolio (CB), providing services to our
shopfloor operators and technicians to make their life easier in an increasingly
complex world and unlock opportunities through insights we never had before.
We are well on track to digitalize our breweries in processes and methodologies
that affect the day-to-day life of our shop floor people, such as safety, manual
work execution, problem-solving and continuous improvement (TPM).
HEINEKEN is determined to continue this digital journey, you are hired to guide
the team extending the scope of digital services and most importantly to really
unlock the value of technology by providing the workers with information to take
well informed decisions that will make these services game-changing and smart.
You will work closely with the Development Teams of our suppliers, Product
Owners and Deployment Teams within the HEINEKEN Global and opco
organizations.

The D&T Lead production data is responsible for the execution and delivery of the
Industrial IoT Production product. Technology expert who co-owns the product
definition with the Product Owner (multiple teams owner). Represents the voice of
the Brewery and is responsible for ensuring alignment with all relevant
stakeholders. Creates and maintains the Product Backlog providing the team with
required information on what needs to be delivered and in which order and
prioritizing it with the Product Owner. He or she co-owns the end-to-end budget
for the product, e.g. resources, investment, consultancy and technology. Drives
the deployments of products in the Brewery by engaging the Brewery Directors
aligning on resources, budgets and timing.

You are a good candidate if you have:

• Bachelors or Master’s degree in Computer Science, Telecom, Electronics or other related studies
• knowledge about process automation, experience on data cloud solutions;
• strong relationship skills 
• ability to influence, support and drive priorities;
• ability to work collaboratively with others and navigate complex decisionmaking;
• knowledge how to own leadership, people and stakeholder management skills;
• a deep understanding of the business and the importance of creating value for the business and the customer, but also about the architecture frameworks;
• knowledge about legal frameworks and security reviews;
• extensive experience working with backlogs (features, epics, stories, bugs, spikes) and roadmap estimation (capacity, prioritization, dependencies, etc) in agile setups.
• strong background in customer-focused technology business;
• an entrepreneurial mind-set and an ability to connect with internal and external audiences including senior management;
• ability to push back, but also able to pull when necessary;
• knowledge and experience (8+ years) in the technologies needed to develop the Azure Data Platform product: Data Factory, Synapse Analytics, Data Lake Storage, Databricks, Event Hubs, Azure DevOps (CI/CD), PowerBI.
• in addition, proficiency in data ingestion pipelines, ETL/ELT best practices, data transformation, and data modelling concepts is essential to drive and maintain a robust and scalable data platform.
• extensive working experience in designing and delivering scalable, costefficient cloud data platforms with Azure cloud stack
• extensive experience (+8 years) in designing and delivering cloud data platforms, including but not limited to infrastructure, data pipelines, storage patterns, data mesh, security policies, workloads management, large scale application deployment and lifecycle, E2E observability. Realtime / timeseries ingestion and secure scalable data sharing approaches (API, streams, etc) experience highly desirable.
• general knowledge and experience with versioning control and release management (not only for code / repositories, but also for Knowledge Management / product release notes)

We Offer: