Data Solution Architect

Role Summary 

The Data Solutions Architect is responsible for designing, implementing and optimising the data and reporting solutions that support the global Heineken business. 

Working as part of the Global Analytics team, this role acts as the connection point between client stakeholders, analysts, reporting teams, data engineers and technology partners to ensure data is accessible, trusted and transformed into actionable business intelligence. 

Initially, the role is focused on one global client: establishing robust reporting foundations, improving data quality and governance, and supporting delivery of dashboards, measurement solutions and insight generation across Heineken global and local markets. 

This is a hands-on role combining data architecture, reporting delivery, stakeholder management and problem-solving. Over time, the successful candidate will build broader leadership capabilities and contribute to the evolution of global reporting and visualisation capabilities across additional clients and solutions. 

Key Responsibilities 

Data & Reporting Solutions 

• Own the design and delivery of reporting and data solutions for Heineken. 

• Support the implementation and ongoing enhancement of global dashboards and reporting frameworks. 

• Translate business requirements into scalable data and reporting solutions. 

• Work with data engineering and technology teams to ensure reliable data pipelines and reporting infrastructure. 

• Identify opportunities to improve reporting automation, standardisation and efficiency. 

• Support measurement frameworks that connect media, marketing, sales and brand performance data. 

Data Governance & Quality 

• Collaborate with the Data Operations team to establish data governance processes, definitions and standards. 

• Ensure reporting outputs are based on trusted and consistent data sources. 

Client & Stakeholder Management 

• Act as a day-to-day point of contact for data and reporting requirements. 

• Partner with client stakeholders, market teams, analysts and technology partners to understand business needs. 

• Facilitate requirement-gathering sessions and translate needs into clear delivery plans. 

• Support senior leadership with reporting recommendations, roadmap planning and prioritisation. 

Insight Delivery 

• Ensure dashboards and reporting outputs answer business questions and support decision-making. 

• Work alongside analytics teams to bring together reporting, measurement and insight generation. 

• Help identify opportunities to improve visibility of performance, effectiveness and growth opportunities. 

Capability Building 

• Contribute to the development of reporting best practices and reusable solutions. 

• Stay informed of emerging reporting, visualisation and analytics technologies. 

• Support testing and adoption of new reporting capabilities, AI-enabled solutions and automation opportunities. 

• Share knowledge and support junior team members where appropriate. 

What Success Looks Like in the First 12 Months 

• Establish a deep understanding of Heineken’s global data and reporting ecosystem. 

• Successfully implement and improve key global reporting solutions. 

• Improve consistency, quality and reliability of reporting outputs. 

• Build trusted relationships with client stakeholders and global market teams. 

• Create clear documentation, governance processes and reporting standards. 

• Enable faster and more actionable decision-making through improved reporting and data accessibility. 

Skills & Experience 

• Experience in reporting, business intelligence, analytics or data solutions roles. 

• Strong understanding of data structures, reporting workflows and dashboard development. 

• Working knowledge of data engineering concepts, including data modelling, ETL/ELT, data pipelines, APIs and cloud-based data platforms. Not afraid to get hands-on when needed. 

• Experience working with modern data stacks such as Snowflake, BigQuery, Databricks, Azure. 

• Experience with visualisation tools such as Power BI, Tableau, Looker Studio or similar. 

• Ability to translate business requirements into practical data and reporting solutions. 

• Strong problem-solving and stakeholder management skills. 

• Experience working with multiple data sources and complex reporting requirements. 

• Excellent communication and presentation skills.