o9-Global-Data Governance Lead in Enterprise Operational Planning

Posted:
4/19/2026, 9:04:13 PM

Location(s):
Community of Madrid, Spain ⋅ Masovian Voivodeship, Poland ⋅ Madrid, Community of Madrid, Spain

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Operations & Logistics

Workplace Type:
Hybrid

Job Description

Are You Ready to Make It Happen at Mondelēz International?

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

We are seeking a technically strong and hands-on professional to lead o9 Data Governance activities within the Enterprise Operational Planning function and specifically o9 core application.

How you will contribute

You will:

o9 Data Governance

• Define and enforce data governance policies, standards, and controls within the o9 platform.

• Closely co-ordinating with data pipeline from source systems (SAP and others) through the o9 Data Model layers (IN, ODM, LSU) to the live Graph Cube environment.

• Collaborate with business and technical stakeholders to maintain data integrity, traceability, and lineage within o9 Application.

Project & Programme Delivery

• Apply Agile, SAFe, and hybrid Agile–Waterfall methodologies to plan, monitor, and deliver project milestones.

• Work closely with cross-functional and regional teams to ensure seamless delivery of integration projects.

• Assess and communicate risks, track programme progress, and drive continuous improvement initiatives.

• Maintain clear and timely communication with senior business and technology stakeholders.

People & Contractor Management

• Lead, direct, and performance-manage contractor teams from partner organisations (Accenture, Infosys, etc.) who report directly to this role.

• Set clear objectives, track deliverables, and ensure accountability across all partner resources.

• Foster a collaborative, high-performance culture across onshore and offshore delivery teams.

What you will bring

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

Experience

• 15+ years of total experience in enterprise technology, data engineering, or programme delivery.

• Minimum 5 years of directly relevant experience in data governance, SAP integration, or enterprise planning platforms.

• Demonstrated track record of managing contractor teams or offshore delivery partners with direct reporting lines.

Technical Skills

• Strong working knowledge of o9 Data Models, data engineering patterns, and the full data pipeline lifecycle.

• Hands-on experience with integration, system migration, and enterprise application landscapes.

• Proficiency in data validation frameworks, ETL/ELT processes, and quality assurance methodologies.

• Familiarity with cloud storage and data platforms (e.g., GCP, delta tables, Spark/PySpark).

Project Management & Methodology

• Solid understanding of Agile, SAFe, and Waterfall project management principles.

• Experience working across multiple enterprise applications in a complex, multi-vendor integration landscape.

• Ability to manage competing priorities, dependencies, and risks across simultaneous workstreams.

Leadership & Communication

• Excellent communication and stakeholder management skills, with the ability to engage confidently at all levels.

• Strong leadership qualities with a focus on accountability, execution, and team development.

• Ability to operate effectively in a matrixed, global organisation.

More about this role

What you need to know about this position:

Enterprise Operational Planning (EOP) is responsible for deploying and governing the o9 planning platform across the organisation's global operations. The team manages data integration, master data governance, and the end-to-end pipeline that feeds supply chain and financial planning models — spanning source systems through to live server upload into the o9 Graph Cube.

Job specific requirements:

• Strong working knowledge of o9 Data Models, data engineering patterns, and the full data pipeline lifecycle.

• Hands-on experience with integration, system migration, and enterprise application landscapes.

• Proficiency in data validation frameworks, ETL/ELT processes, and quality assurance methodologies.

• Familiarity with cloud storage and data platforms (e.g., GCP, delta tables, Spark/PySpark).

Project Management & Methodology

• Solid understanding of Agile, SAFe, and Waterfall project management principles.

• Experience working across multiple enterprise applications in a complex, multi-vendor integration landscape.

• Ability to manage competing priorities, dependencies, and risks across simultaneous workstreams.

Relocation Support Available?

No Relocation support available

Business Unit Summary

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our succes

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.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER

Job Type

Regular

Software & Applications

Technology & Digital

Mondelez International

Website: https://www.mondelezinternational.com/

Headquarter Location: Chicago, Illinois, United States

Employee Count: 10001+

Year Founded: 1903

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Consumer Goods ⋅ Food and Beverage ⋅ Food Processing ⋅ Manufacturing