Head Of Data And Analytics

We are looking for a Head of Data and Analytics to join our Commercial Center of Excellence team. Location is flexible within the EU . About Barentz Barentz is the global specialty ingredients solution provider. The company sources branded specialty ingredients from leading manufacturers worldwide and its ingredient experts provide value-added technical support which includes pre-mixing, blending, ingredient formulation and ingredient testing from its state-of-the-art, customized formulation centers and application laboratories in EMEA, Americas, and Asia-Pacific. Established in 1953, Barentz has operations in more than 70 countries with a strong presence in Europe and North America, and a rapidly growing network in Latin America and Asia-Pacific. With a turnover of €2.4 billion, the company employs over 2,700 people worldwide and serves more than 27,000 customers. For more information, visit: At Barentz, our core values are the foundation of our success. They unite and inspire us, define our identity, and guide our daily efforts. We are one team with one goal, driven to achieve greatness together Our core values: One Team, Knowledge-Driven, Strong Partners, Entrepreneurial, Change and Integrity. If you’re passionate about these values and ready to make a difference, we want you on our team Apply now and be a part of our exciting journey to achieve our purpose About this role Job purpose The Head of Data and Analytics is responsible for defining and executing the enterprise data and analytics strategy to unlock business value, drive profitable growth, and improve decision-making. This role prioritizes initiatives and investments across the data ecosystem, ensuring clear ROI and alignment, and builds a data-driven culture through governance, enablement, and measurable outcomes. The Head of Data and Analytics collaborates with cross-functional teams, including sales, marketing, finance, and IT, to drive data-driven decision-making and enhance commercial performance. Strategy and Roadmap Develop and own the multi-year enterprise data & analytics strategy and operating model. Create value-backed roadmaps, prioritizing use cases, platforms, and capabilities. Establish portfolio management and KPI frameworks to track impact and ROI. Team Leadership Build, lead, and mentor cross-functional teams (data engineering, analytics, data science/ML, BI). Define roles, career paths, and best practices; foster collaboration with product, IT, security, and business units. Cross-functional alignment and Governance Establish mechanisms to capture inputs and requirements from IT, Security, Product, Finance, Sales, Marketing, and Operations. Design and enforce data governance frameworks: data quality standards, privacy, and access Chair executive Steering Committees and run Tactical Working Boards to prioritize initiatives, remove blockers, and align on trade-offs. Create RACI/decision rights, communication cadences, and escalation paths to ensure transparency and accountability. Partner with business owners on value cases, adoption plans, and change management to drive measurable outcomes. About You Education & Experience 8+ years in data/analytics; 4+ years leading cross-functional data teams. Proven track record in defining and executing enterprise data strategies with measurable ROI. Hands-on leadership of data platforms (cloud data warehouses/lakes) and BI modernization. Standing up and operating data governance at scale (quality, privacy, access, stewardship). Budget ownership, vendor/partner management, and contract negotiation Experience in change management and building a data-driven culture across business units. Preferred: Delivering advanced analytics/ML use cases from concept to production. Technical Skills Strategy & Portfolio: OKRs/KPIs, value case development, portfolio, and prioritization frameworks. Data Architecture: Modern data stack, ELT/ETL, data modeling (star/snowflake), data mesh/data fabric concepts. Cloud & Tools: One or more of AWS/Azure/GCP, Databricks/Snowflake/BigQuery/Redshift, dbt, Kafka/streaming. Preferred: Analytics & ML: SQL, Python/R familiarity, feature stores, MLOps, experimentation/causal inference basics. BI & Visualization: Power BI/Tableau/Looker; semantic models; self-serve enablement. Soft Skills Strategic thinking and prioritization: Balances long-term vision with near-term wins; makes data-informed decisions under ambiguity. Change management: Guides org through culture and process shifts; builds advocacy and manages resistance. Collaboration and facilitation: Runs effective Steercos/working groups; elicits inputs, mediates conflicts, and secures decisions. Customer-centric mindset: Frames problems around user needs and measurable outcomes. Coaching and talent development: Mentors teams, fosters psychological safety, and raises performance standards. Influential leadership: Aligns senior stakeholders, negotiates trade-offs, and drives consensus without authority. Bias for action and accountability: Sets clear goals, follows through, and course-corrects quickly. Systems thinking: Connects processes across IT, sales, finance, and operations to optimize end-to-end value streams. Why Barentz? Barentz is a fast-growing organization with an open culture and short lines of communication. We offer you the freedom and opportunity to operate independently, within the set objectives and frameworks. Barentz is looking for employees who are creative, independent, and energetic, and who like to take on challenges. You like to work in a dynamic and rapidly changing environment, which requires a high degree of flexibility. Interested? If you feel excited reading the above and want to join our journey, please send your CV in English by using the button to apply. Any questions regarding this position, please contact Jill Lan: Job ID: No.280