Our partner is a global leader in premium beverages, with a business rooted in the pioneering efforts of industry icons such as Arthur Guinness and Alexander Walker. The values and entrepreneurial spirit these individuals embodied continue to shape the company today.
Founded in 1997, this organization is home to world-renowned brands like Guinness, Smirnoff, Johnnie Walker, Tanqueray, and Baileys. Its success is built on the talent and dedication of its team to nurture and grow both heritage and innovative new products.
Responsibilities:
- Product Strategy and Vision develop and execute a clear product vision and strategy aligned with overall business objectives. Conduct thorough market research to identify opportunities, customer needs, and competitive landscapes.
- Voice of the customer understands, shape and address the different functions/regions needs, ensuring the business needs are well understood across D&T and within the data product working group.
- Product Roadmap and Delivery create and prioritize a product roadmap based on business value, customer feedback, and data-driven insights. Collaborate closely with cross-functional teams to deliver high-quality products on time and within budget.
- Value Creation and Measurement define, measure, and optimize the value delivered by data products. Establish key performance indicators (KPIs) and track product performance to inform continuous improvement.
- Cross-Functional Collaboration build strong partnerships with data science, engineering, and business teams to ensure alignment and efficient product development.
- Data Governance and Quality champion data governance initiatives, ensuring data quality, security, and compliance with relevant regulations. Work closely with central governance team on co-designing and implementing internal data policies.
- Product Launch and Scaling develop and execute go-live strategies to successfully launch data products. Drive product adoption and scalability across the organization.
- Data Literacy and Culture promote data-driven decision making and foster a data-centric culture. Responsible for creating and maintenance of relevant documented within expected remit.
- Team Leadership provide leadership and mentorship to agile teams, driving innovation and high performance.
Technical skills
- Data Analytics proven expertise on data analysis and manipulation. The ability to interpret data and transform it into a meaningful story if vital.
- Desired knowledge of statistical modelling and visualisation best practices, UX/UI.
- Data manipulation and transformation proficiency in SQL is required.
- Desired knowledge in Python/R applied to data analysis. Data management certifications (DAMA or others).
- Data architecture and modelling intermediate knowledge of data architecture, modelling and data management principles is critical.
- Desired database design, systems integrations best practices.
- Experience with ETL/ELT Processes intermediate knowledge of data extraction, transformation and ingestion processes.
- Desired best practices in complex system integrations and quality principles for data ingestion.
- Machine Learning and GenAI basic understanding of ML models and familiarity with GenAI principles.
- Desired previous experiences on those domains, with proven benefits/hands-on.
- Agile principles advanced knowledge in agile methods (Scrum, Kanban, SAFe) and tools (Azure DevOps) for product development.
- Desired certifications on that area.
- Data governance and quality advanced knowledge in data governance and quality assurance principles. Intermediate knowledge of privacy regulations (GDPR).
- Desired certifications on that are.
- Cloud Platforms and Data Tools good familiarity with cloud platforms like AWS, Google Cloud, or Azure, as well as data tools like Tableau, Power BI, and Hadoop/Spark, is helpful for building and deploying data products.
- Desired good understanding and/or certifications on Azure and Databricks.
Soft skills:
- Communication and Storytelling solid experience on translating complex data point into clear, actionable messages.
- Strategic and Innovation thinking intermediate experience with innovation methods applied to data strategic execution and strong understanding of data products aligned to business objectives.
- Collaboration and Influence strong interpersonal skills are essential for working with cross-functional teams, influencing stakeholders, and rallying support for product initiatives.
- Problem-Solving and Analytical Thinking advanced ability to break down complex problems into actionable steps to solve business challenges.
- Customer empathy strong ability to understand others situations and levels of understanding. The ability to visualise stakeholder needs and translate this to impactful data products is critical.
- Adaptability and Resilience need to remain agile and open to received and process feedback, adjusting attitudes, processes, and products to changes in technology, business needs, and market trends.
- Project Management organizational skills, including time management, team management (directly and/or indirectly) and task prioritization, are crucial for managing the demands of product development.
- Leadership and mentorship inspiring and guiding both technical and non-technical team members, often without direct authority, is key to fostering a high-performance, collaborative environment.
- Master Data Management domain expertise
- Hierarchy management experience managing different hierarchies, in different granularities used across multiple regions, with local curation needs and ability to drive global synergies.
- Industry best practices knowledge of industry best practices is key and implementing those, driving simplicity is a key factor on multiple dimensions of master data (product, outlet, customer).
- Multi-domain knowledge experience with different functions (supply, finance, commercial and marketing) is crucial.
What they offer
- Unique Family Leave opportunity
- Flexibility
- Cafeteria
- Medicover White package
- Product Allowance
- Annual bonus
- Company car
- Extra holiday for your birthday, 6 months paid paternity leave option
- Work from Anywhere policy (globally, up to 20 working days)
- Dog friendly office policy
- Gym, AYCM partnership
- Monitor Glasses reimbursement
- Zoo pass
- Marketplace, Rooftop bar
- Unique Family Leave opportunity
- Flexibility
- Cafeteria
- Medicover White package
- Product Allowance
- Annual bonus
- Company car
- Extra holiday for your birthday, 6 months paid paternity leave option
- Work from Anywhere policy (globally, up to 20 working days)
- Dog friendly office policy
- Gym, AYCM partnership
- Monitor Glasses reimbursement
- Zoo pass
- Marketplace, Rooftop bar