DS & BI Lead Connected Brewer

• As a DS-BI Lead within HEINEKEN's D&A Product Organisation, you are responsible for leading the DS/BI Development / Advanced Analytics capabilities within the Smart Brewery ecosystem.
• Embedded within the D&A Product, you work closely with Product Leads, Business Analysts, Data Engineers, and Developers to ensure the delivery of high-quality, scalable analytical products and advanced analytics solutions . You act as the technical and capability lead for BI Developers and Data Scientists , guiding how data is transformed into actionable insights, robust dashboards, and advanced analytical models.
• You play a key role in shaping standards, best practices, and ways of working across analytics and data science, ensuring consistency, scalability, and business value delivery at global scale.
• A key part of your role is reinforcing Agile Ways of Working , supporting squads with expertise, enabling high-quality delivery, and driving continuous improvement across these capabilities.

Key Responsibilities

Capability Leadership & Strategy

• Define and evolve the DA/BI Development and Data Science / Advanced Analytics capability vision within the D&A Product together with the D&A Product Owner and Product Leads
• Establish and promote best practices for data modelling, dashboarding, and advanced analytics.
• Drive standardisation and reuse of global analytical assets, KPIs, and models .
• Ensure alignment with the D&A roadmap and Smart Brewery vision.
• Identify opportunities to leverage advanced analytics and data science to unlock business value.

Product Discovery & Requirements

• Provide guidance on translating business and analytical needs into data models, KPIs, dashboards, and advanced analytical use cases .
• Support feasibility assessments for new use cases, including data availability, modelling complexity, and analytical approach .
• Collaborate with Product Leads and Business Analysts to shape a clear, prioritised analytical backlog .
• Bring structure and technical insight to complex analytical and data science challenges.

Stakeholder Engagement

• Act as a key partner for Product Leads and stakeholders on analytics and data science topics .
• Translate complex analytical outputs into clear, actionable insights for business users.
• Facilitate alignment on KPIs, modelling logic, and analytical approaches across squads and regions.
• Act as the voice of DA/BI and Data Science , ensuring solutions deliver meaningful business value.

Data & Analytics Enablement

• Guide the design and development of scalable dashboards, semantic models, and analytical datasets DA/BI domain.
• Ensure consistency in data modelling, KPI definitions, and visualisation standards across products.
• Drive adoption of advanced analytics techniques , including statistical analysis and machine learning.
• Collaborate with Data Engineers to address data quality, availability, and structural gaps .
• Promote reuse of analytical components to enable global scalability.

Product Delivery & Value Realisation

• Provide expert support and direction to squads during development and delivery.
• Ensure DA/BI and data science solutions meet quality, performance, and scalability standards .
• Support testing, validation, and monitoring of dashboards, datasets, and models.
• Ensure analytical products are delivering measurable business value across breweries.

Supporting Agile Ways of Working

• Support teams in breaking down DA/BI and data science work into clear, testable backlog items .
• Ensure analytical work meets the Definition of Ready before sprint commitment.

Actively contribute to Agile ceremonies

• Sprint Planning: provide analytical and technical guidance
• Refinement: structure modelling, KPIs, and data science approaches
• Daily Collaboration: support realtime problem solving
• Reviews: validate outputs and showcase analytical value
• Retrospectives: drive capability and delivery improvements
• Promote iterative, data-driven delivery — start small, validate early, learn fast .

Change & Adoption

• Ensure DA/BI and data science solutions are understood, adopted, and delivering value .
• Support documentation, training, and deployment of dashboards, models, and advanced analytics use cases.
• Promote a data-driven mindset across stakeholders and brewery teams.

Qualifications

• Bachelor's or Master's degree in Data Science, Analytics, Engineering, Computer Science, or related field.
• Strong experience in Agile/Scrum environments; Agile certifications are a plus.

Skills & Experience

Essential

• Strong experience in DA/BI Development and/or Data Science typically 5+ years.
• Proven experience leading or mentoring DA/BI Developers and/or Data Scientists .
• Expertise in BI tools Power BI, Grafana, including semantic modelling and KPI design .
• Strong SQL skills and understanding of analytical data modelling.
• Experience with data science tools and languages e.g., Python, R and advanced analytics techniques .
• Strong understanding of the end-to-end analytics lifecycle .
• Ability to translate business challenges into analytical and data science solutions .
• Experience working in global, cross-cultural environments.
• Fluent English written & spoken.

Desirable

• Experience in manufacturing, FMCG, or industrial analytics.
• Exposure to OT/IT data MES, SCADA, sensors.
• Familiarity with Azure analytics ecosystem ADF, Synapse, Databricks.
• Experience operationalising machine learning models in production environments.

Mindset & Behaviours

Aligned to HEINEKEN Behaviours

• Focus on value — ensuring analytics and data science deliver measurable impact.
• Empower teams — enabling DA/BI Developers and Data Scientists to succeed.
• Start quick, learn fast — experimenting, validating, and improving continuously.
• Continuously improve — driving excellence in DA/BI and data science practices.

You thrive at the intersection of data, analytics, and business , enabling teams to turn data into actionable insights and scalable solutions that make breweries smarter and more efficient.

Closing Date: 30/09/2026