Senior Director, S/4 & o9 D&A lead

Posted:
7/9/2026, 9:07:57 PM

Location(s):
Maharashtra, India ⋅ Mumbai, Maharashtra, India

Experience Level(s):
Senior

Field(s):
Data & Analytics

Workplace Type:
On-site

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.

About the Role
This role is responsible for leading the end-to-end delivery of Data & Analytics across the S/4 and o9 transformation programs. This includes master data capture orchestration, data harmonization leveraging S4 DMLT, data & analytics remediation and improvements.


The Senior Director will lead the full lifecycle of data migration and transformation — from analysis and target state definition through build, testing, cutover, and stabilization — ensuring delivery aligns to enterprise architecture standards and program objectives. This is a high-accountability global role requiring strong leadership across architecture, data, execution, and program delivery in a complex, multi-region environment.


Key Responsibilities:


End-to-End Data Transformation Delivery

  • Lead the full lifecycle of data migration and transformation across S/4 and o9 programs

  • Own the end-to-end strategy and execution for data migration from SAP ECC to S/4HANA, leveraging SAP DMLT and related tools

  • Oversee analysis of current data landscape and define the appropriate target state aligned to enterprise architecture

  • Ensure successful execution across build, testing, cutover, and post-go-live stabilization

  • Maintain accountability for delivery quality, timelines, and risk management

  • Manage and optimize budget through automation and effective partner management

Target Architecture Delivery

  • Translate enterprise data strategy into a clear and executable target architecture within program scope

  • Define data models, structures, and integration patterns required to support business and planning processes

  • Ensure consistent implementation of architecture standards across systems and regions

  • Balance architectural integrity with program timelines and delivery constraints ensuring no technical debt

  • Strong collaboration with tech and D&A peers to ensure usage of enterprise tools technology and templates to accelerate the program as possible leveraging AI enabled acceleration

Data Integration & Quality

  • Oversee end-to-end data integration across ERP, planning, and analytics platforms

  • Ensure data quality, consistency, and reconciliation throughout migration and transformation

  • Identify and resolve data dependencies, issues, and risks across interconnected programs


Master Data Management and orchestration (SAP MDG & PEGA)

  • Lead the enhancement of master data processes and data models using SAP MDG (governance, workflows, validations, roles).

  • Define and implement MDG driven governance for critical master data objects (materials, customers, vendors, recipes, plants, etc.) specific to Food & Beverage.

  • Partner with PEGA teams to design and orchestrate end-to-end data workflows (requests, approvals, exceptions) integrated with MDG and S/4HANA.

  • Ensure new processes are scalable, global template aligned, and support both central and local business needs.


Program Delivery & Governance

  • Own delivery of Data & Analytics workstreams across S/4 and o9 programs

  • Manage complex dependencies across regions, systems, and teams

  • Drive structured execution, including planning, tracking, risk mitigation, and issue resolution

  • Ensure alignment with overall program milestones and business readiness


Team Leadership & Execution Model

  • Lead a global cross-functional team spanning data engineering, architecture, testing, functional SMEs, and regional teams to deliver S/4 O9 platform and product outcomes

  • Lead teams through analysis, design, build, testing, and deployment phases

  • Define clear roles, responsibilities, and accountability across internal teams and partners

  • Foster a delivery-focused culture with strong ownership and execution discipline

  • Lead training and skilling in new technology capabilities collaborating with larger platform team

  • Mentor and grow a high performing team

Testing, Cutover & Stabilization

  • Ensure comprehensive testing strategy covering data validation, reconciliation, and business readiness

  • Lead planning and execution of data cutover activities across regions and systems

  • Oversee post-go-live stabilization, ensuring data issues are resolved quickly and sustainably

  • Ensure continuity of business operations during transition


Stakeholder Management & Communication

  • Act as the primary Data & Analytics delivery lead for these programs

  • Partner closely with program leadership, business stakeholders, and technology teams

  • Communicate progress, risks, and key decisions clearly to senior leadership

  • Build trust through transparency, delivery consistency, and problem-solving


Change management and capability building

  • Provide strategic leadership for the change and adoption plan, ensuring alignment with transformation objectives and stakeholder readiness for new data processes, tools, and roles.

  • Oversee the development of training strategies, playbooks, and knowledge artifacts, guiding functional teams and subject-matter experts to deliver consistent and scalable materials for data owners, stewards, and business users.

  • Champion capability building within the internal data and analytics organization, setting the roadmap and governance model to enable mentoring, upskilling, and long-term sustainability beyond program completion

What you will bring


Technical & Functional Expertise

  • Strong experience in enterprise data migration and transformation programs

  • Deep understanding of SAP data landscapes, S/4 HANA data models

  • Strong foundation in data modelling and architecture with experience designing scalable, reusable data structures across integration, transformation and analytics use cases

  • Experience defining and executing BW to target state migration strategies including transition to Datasphere and modern data architecture

  • Experience designing data integration for planning platforms including master & transactional flows

  • Experience with end-to-end technical delivery including analysis, design, build, testing, and cutover

  • Strong knowledge of data integration, data quality, and reconciliation processes

More about this role

Experience

  • 20+ years in Data & Analytics delivery and leadership roles (20+ years of experience in Data & Analytics roles, with at least 5+ years leading data workstreams on large SAP programs.)

  • Proven track record delivering large, complex, multi-region transformation programs

  • Experience managing cross-functional teams and external partners

  • Background in CPG or similarly complex global environments preferred

  • Track record of leading cross-functional teams and influencing senior stakeholders in complex, global programs


Leadership & Mindset

  • Strong execution focus with the ability to lead large-scale delivery end-to-end

  • Mondelez International Internal

  • Ability to bring structure and clarity to complex, ambiguous environments

  • Comfortable balancing architectural rigor with practical delivery needs

  • Clear communicator with strong stakeholder management and influencing skills

No Relocation support available

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 Type

Regular

Analytics & Modelling

Analytics & Data Science

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