o9 Data & Integration Lead

Descripción del puesto 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 Mondelez is implementing the o9 planning solution; which is an AI-powered enterprise planning and execution platform that connects supply chain, finance, commercial, and operational planning into a single unified system. As with any AI based capability, the solution will require a vast amount of data and the ability to integrate with various data & analytics ecosystems in the company. As the Data & Analytics (D&A) o9 Data & Integration Lead, you will be expected to envision, enable, and execute a data strategy and action plan in support of the o9 solution development, deployment and sustainment. The ideal candidate will be experienced and passionate about Data Management, Data Engineering, Data Governance, Program Management, and Business Digital Transformation. The role will expect candidates to be apt at solving business problems with data & analytics, have excellent communication skills, and be able to effectively engage and manage a diverse group of individuals. This role is expected to work with various parts of Data & Analytics organization, external partners, multiple functional (Finance, Sales, Supply Chain and Consumer-Marketing) teams as well as Business leaders to successfully deliver the o9 program agenda. How You Will Contribute: End-to-end Data Program Delivery & Execution: - Own the o9 data enablement roadmap across multiple waves, including the data product rewiring plan and data migration plan. Focus on AMEA and MEU regions. - Establish program governance frameworks to ensure predictable, high-quality delivery - Resolve cross-functional bottlenecks, technical trade-offs, and critical-path blockers - Establish Data Governance & Quality practices (activation of; Atac cama tool, personas and operational process) to ensure optimal delivery and sustainment of data lineage to and from the o9 solution Drive Multi Stakeholder Alignment: - To unlock funding and integration of the data roadmap into the solution roadmap, serve as the primary delivery partner to business sponsors, ensuring alignment in priorities and progress - Translate complex technical progress, architecture constraints, and trade-offs into clear executive narratives with business impact for leadership and deployment review meetings Vendor Partner Selection & Management: - Assess, appoint and oversee technical contracting teams, lead SoW negotiations, and build business case justifications - Drive accountability across vendor resource allocation and milestone sign-offs Manage day-to-day delivery: - Track critical-path activities, cross-workstream handoffs, and upstream/downstream technical dependencies and integrations - Maintain proactive RAID logs with pre-emptive mitigation strategies to prevent scope impact - Collaborate with analysts on data mapping exercises to ensure accurate data alignment across systems - Leverage defect analysis and end-user feedback to continuously improve testing strategy and build functional test cases for data governance and quality assurance End-to-End Data Cutover Strategy & Execution: - Accountable for the full data cutover across each o9 wave in MEU and AMEA — define source-to-target mappings, transformation rules, data freeze windows, and go/no-go criteria across master data, transactional data, planning parameters, and historical loads - Execute cutover dry runs, build automated reconciliation scripts, and lead the cutover command center on go-live — own the runbook, triage defects (P1/P2/P3) in real-time, and execute rollback if thresholds are breached - Post-cutover, drive data integrity verification, manage 4–6-week hyper care, validate downstream flows to GCP/Databricks and BI, and feed lessons into subsequent waves Reporting Strategy & Delivery for AMEA/MEU: - Own reporting and analytics delivery for o9 across AMEA and MEU — partner with regional Supply Chain and Finance leads to define needs: demand planning dashboards, supply planning scorecards, S&OP/IBP executive views, exception-based alerts Data & Analytics skills: - Analytics : Understanding of diagnostic, descriptive, predictive and prescriptive techniques - Data management: Managing data security, API, data integration, ETL techniques, or metadata. - Data modeling & architecture: From data warehouse, data lake through to semantic layers - Data governance: Knowing data security & privacy, DAMA etc and data stewardship practices. - Data Fluency: Across Supply Chain, Marketing, Sales and Finance Technology skills: - Database Management: Knowing how to write queries and manage database systems like SQL, Oracle, or MySQL - Programming languages: like SQL, Python or R and notebooks like R Studio or Jupyter. - Data Engineering/Integration platform and tools like Databricks, AWS, Snowflake - Analytics and Business Intelligence tools like Quick, Genie BI, Microsoft Power BI or Tableau. Professional skills: - Leadership with high level of self-initiative and drive: L ead the discussions on D&A agenda in the o9 program - Communication: Ability to convey information to diverse audiences in a way that is easily understood and actionable. - Facilitation and conflict resolution : Hosting sessions to elicit ideas from others, understanding their issues, and encourage group participation. - Teamwork & Collaboration : Bridging between technical and business communities - Influencing : Apt at asserting ideas and persuading others to gain support across an organization or to adopt new behaviors. ¿Soporte de reubicación disponible? No se cubrirán los costes de la reubicación Resumen de la Unidad de Negocio En Mondelēz International, nuestro propósito es empoderar a las personas para que coman de la manera correcta, ofreciendo los snacks perfectos, en el momento perfecto, fabricados de la manera perfecta. Esto significa ofrecer una amplia gama de deliciosos snacks de alta calidad que nutran los momentos de la vida, elaborados con ingredientes sostenibles y envases con los que los consumidores puedan sentirse bien. Tenemos una amplia cartera de marcas sólidas a nivel mundial y local que incluye muchos nombres conocidos como las galletas Oreo , belVita y LU ; los chocolates Cadbury Dairy Milk , Milka y Toblerone ; las gomitas Sour Patch Kids y los chicles Trident . Estamos orgullosos de mantener la primera posición a nivel mundial en galletas, chocolates y caramelos y la segunda posición en chicles. Nuestros 80 000 fabricantes y panaderos se encuentran en más de 80 países y vendemos nuestros productos en más de 150 países en todo el mundo. Nuestra gente tiene energía para el crecimiento y es fundamental para que podamos dar vida a nuestro propósito y nuestros valores. Somos una comunidad diversa que puede hacer que las cosas sucedan, y que sucedan rápidamente. Mondelēz International es un empleador que ofrece igualdad de oportunidades y todos los solicitantes cualificados serán considerados para el empleo sin tener en cuenta raza, color, religión, género, orientación o preferencia sexual, identidad de género, nacionalidad, discapacidad, condición de veterano o cualquier otra característica protegida por la ley. Tipo de puesto Regular Analytics & Modelling Analytics & Data Science