Data as a Service COE Lead

Director, Data as a Service COE Lead

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms. Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.

How you will contribute

You will:

• Support stakeholders across portfolio using agile ROI/KPI initiatives that will drive improvements
• Identify and incubate best-in-class external partners to drive delivery on projects
• Work on development of custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Support the data strategy in your area of responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure
• Build a professional and reliable team
• Run the business analytics program practice using a methodical approach that conveys to stakeholders what business analytics will deliver`

What you will bring

A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

• Ability to influence the business agenda and make recommendations to senior leaders
• Leadership experience in best-in-class analytics practice roles
• Leadership experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of analytics techniques to create business impacts
• Proven people leadership experience

More about this role

We are seeking an experienced and pragmatic Data & Analytics (D&A) leader to build and scale our Global Data-as-a-Service (DaaS) capability.

This role will lead the design, delivery, and governance of global data products, pipelines, and platforms that serve critical business needs across Supply Chain, R&D, Finance, Marketing, Sales, and more.

What you need to know about this position:

Key Responsibilities
Data Products & Domain Design

• Define and evolve domain-aligned data products that are reusable, governed, and discoverable.
• Translate business priorities into scalable data assets that deliver growth, efficiency, and innovation.
• Partner with functional and regional teams to align on priorities, embed standards, and ensure adoption.

Standards & Frameworks

• Establish data design, modeling, and engineering standards that ensure quality, consistency, and scalability.
• Develop systematic processes to assess compliance with standards, identify gaps, and implement improvements.
• Publish standards in a way that is transparent, consumable, and actionable across diverse global teams.
• Drive adoption by enabling teams across MDS and D&A to contribute to and benefit from a shared set of practices.

Engineering & Architecture

• Lead enterprise-grade pipelines (batch, streaming, ETL/ELT) across multiple cloud and warehouse environments.
• Oversee data modeling, schema design, and warehousing strategies that balance global consistency with local flexibility.
• Influence platform/tooling choices (storage, query engines, orchestration, APIs) to optimize for speed, cost, and resilience.
• Orchestrate a federated architecture model, where cross-functional teams contribute and collaborate systematically—even without direct reporting relationships.
• Drive automation, self-service, and AI-native data delivery.

Governance & Compliance

• Establish observability, SLA enforcement, lineage, and quality frameworks.
• Ensure compliance with global data privacy and regulatory requirements (GDPR, CCPA, etc.)
• Implement metadata, catalog, and FAIR data practices.

Collaboration & Leadership

• Build and mentor a global team of engineers, modelers, and data product leads.
• Foster a culture of inclusion, accountability, and continuous improvement.
• Collaborate extensively across MDS, Data & Analytics (D&A), and other global teams to orchestrate delivery and adoption.
• Apply a systematic and disciplined approach to planning, execution, and follow-through.
• Promote a growth mindset that enables teams to adapt, learn, and scale effectively.

What extra ingredients you will bring:

• The ideal candidate combines proven technical depth in data engineering, modeling, and product design with a collaborative, systematic, and growth-oriented mindset.
• They will drive the creation of global standards and frameworks—ensuring they are consistently defined, assessed, published, and adopted.
• Success will depend on the ability to orchestrate a federated architecture across functions, often working through influence and process rather than direct reporting lines, to systematically harness capabilities from across the organization.

Education / Certifications:

• 15 years in data engineering, analytics platforms, or software engineering.
• 10 years leading technical teams in large, distributed, global organizations.
• Proficiency in SQL, Python; experience with Spark, Kafka, Airflow, DBT, Snowflake, BigQuery, Redshift (or equivalents).
• Familiarity with observability and quality frameworks (e.g., Monte Carlo, Datadog).

Job specific requirements:

• Prior leadership in multinational CPG, retail, or manufacturing environments.
• Experience balancing global standardization with regional execution.
• Demonstrated ability to set standards, drive adoption, and orchestrate federated ways of working across functions.
• Recognized for collaboration, systematic delivery, and building trust across diverse teams
• Proven track record launching and scaling global data platforms and delivering business-critical data products.
• Expertise in data modeling, schema design, and enterprise warehousing.
• Strong knowledge of data privacy, security, and regulatory compliance.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job TypeRegularAnalytics & ModellingAnalytics & Data Science Experience LevelSenior Level

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