Descrição da Função
Your new Company
Havi
, a global leader since 1974, employs over 10,000 people and serves customers in more than 100 countries. Specializing in the foodservice industry,
Havi
provides innovative supply chain and logistics solutions, including analytics, planning, distribution, and freight management.
Havi’s
diverse teams collaborate seamlessly across locations and functions, embodying a spirit of integrity and creativity to serve their customers in the best way possible.
Your new Role
The
Head of Data Products & Analytics
will lead high-impact Data Products across Havi’s Supply Chain domains. Own the creation, adoption, and business value of domain-aligned data products – covering Distribution & Freight, GBS/Control Tower, HR, Global Markets, Legal, and CREM areas. Deliver trusted datasets, a robust semantic/metrics layer, and scalable BI and self-service analytics that fuel decision-making, automation, and AI through the enterprise AI Gateway/RAG.
The
Head of Data Products & Analytics
will drive delivery through the domain triad model – Data Product Owner · IA Pod Lead · Solution Architect – translating business needs into scalable solutions. Partner with Data Enablement & Governance to ensure certification and policy alignment, and with Security to operationalize models across batch, real-time, and AI use cases. Focus on measurable outcomes and enable trusted, data-driven decisions.
The
Head of Data Products & Analytics
will:
Strategy & Operating Model:
Own the Data Products & Analytics strategy and roadmap;
Lead the domain triad model – Data Product Owner · IA Pod Lead · Solution Architect – to deliver aligned, scalable solutions;
Define and maintain the semantic layer and certified KPIs to ensure consistency and avoid metric drift.
Data Product Management:
Guide Domain Data Product Owners in shaping backlogs, value hypotheses, and acceptance criteria;
Ensure clear documentation, SLA’s, and certified datasets by partnering with Data Enablement & Governance on contracts, lineage, and quality gates.
Analytics Engineering & BI:
Deliver tested, versioned dbt models and BI-ready marts;
Promote self-service analytics and data literacy;
Establish coding standards, CI/CD pipelines, and drive performance and cost efficiency across analytics workloads.
Applied Data Science & Experimentation:
Prioritize and deliver forecasting, optimization, and propensity models with clear success metrics;
Collaborate with Intelligent Automation, AI COE, and Security to deploy models (batch/real-time) and implement RAG patterns with proper guardrails.
Adoption & Value Realization:
Drive adoption of certified data products and dashboards;
Track usage, gather feedback, and deprecate redundant pipelines;
Work with PMO to quantify impact – reducing decision latency, cycle time, and cost-to-serve – while improving OTIF and other KPI’s.
Governance & Risk:
Ensure secure access and data protection for sensitive domains like HR and Legal through masking and strict controls;
Align with privacy, retention, and residency policies;
Guarantee analytics and data science work adheres to architectural standards and passes design reviews.
Vendor & Partner Management:
Coordinate with EPAM (via Data Enablement & Governance) to ensure source data is performant, certified, and ready for use;
Guide EY and other partners to deliver within defined standards and ensure smooth handover to internal teams.
What you will need to succeed
To succeed as an
Head of Data Products & Analytics
you will need:
Bachelor’s Degree in
Computer Science
,
Applied Mathematics
,
Data Science/Analytics
,
Statistics
,
Industrial Engineering
,
Operations Research
or related (mandatory);
Master’s Degree in Data Science/Analytics or MBA in Analytics or Product focus (would be a plus);
Certifications in
dbt
(Fundamentals / AE),
Snowflake/Databricks
or
Google/AWS Data Engineer
,
Power BI/Tableau/Looker
certs,
Scrum Product Owner/SAFe POPM
;
Credentials in
Supply Chain
, such as APICS/ASCM CPIM/CSCP (would be a plus);
Knowledge in SQL & data modeling, statistics/experimentation, and cloud data warehousing;
+10 years of experience working in Analytics/Data, including:
3-5 years leading Data Product teams (POs/AE/BI/DS)
What the Company can offer you
Have the opportunity to join a cross-functional team in an international company with a multicultural working environment!
Next Steps
If you are interested in this opportunity, please send us your updated CV. If you are looking for another type of professional challenge, please contact us to discuss other career opportunities, always in complete confidence.
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