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
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
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.
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