Mondelez International
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AMEA S4o9 MDS Data & Analytcs Lead
Mondelez International
posted 19d ago
Flexible timing
Key skills for the job
Job Description
Are You Ready to Make It Happen at Mondel z 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:
What you will bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
Purpose of the Role
The S4o9 DA AMEA Lead is accountable for implementation of the s4o9 DA scope, also provide oversight coordination within their areas, including change and value realization. This is achieved by bridging the functional business team requirements in AMEA Region and Global business and technical teams during S4o9 transformation project.
This role requires business requirements translation into technical solutions, facilitating smooth communication and collaboration across departments.
Main Responsibilities
- Drive S4o9 Data Analytics end-to-end deliverables including remediation of use cases on SAP BW, GCP, self service, along with data enablement and new rollouts in o9.
- Based on program RACI - the role is accuntable to lead the regional discovery for the DA function, Co-lead the regional fit gap with global program team identifying smartfield needs required beyond the global template, ccountable for user testing, cutover, hypercare, change management and training working with global program teams
- Operates through program defined Ways of Working and operating model, driving effectiveness and structure
Act as a trusted partner for the S4o9 Regional Lead and represent the DA workstream in regional leadership forums.
- Collaborate on comprehensive data strategy to support the DA transformation, including data migration, data quality, and data governance.
- Contribute to Global template and design, ensuring AMEA regional inputs are captured through fit-gap analysis and defining AMEA scope partnering with S4o9 Regional Leads, Data Analytics professionals, and other workstreams.
- Collaborate with architects and partners to ensure the technical design appropriately addresses the regional scope
- Ensure the successful migration, remediation and optimization of Data analytics capabilities within the new S/4HANA environment.
- Prioritize and manage data enablement and new reports build in o9.
- Collaborate with key stakeholders to ensure alignment with AMEA business objectives and timelines.
- Drive the communication of technical changes for AMEA Self-Service reporting.
- Identify and mitigate risks associated with the S4o9 transformation project.
- Ensure continued adoption of remediated and new reports aiming to optimize data processes and analytics performance post-transformation.
Experience Required and Role Implications
Experience: Minimum of 12 years of experience in IT, and project management with at least 5 years in a leadership role. Minimum of 3-5 years of experience in data analytics and business intelligence, within IT or business function. SAP ECC to S4 experience and/or supply chain planning experience strongly recommended.
Leadership Skills: Proven ability to lead large-scale projects and manage cross-functional teams in a global environment. Experience in transformation projects is a plus.
Technical Skills: Familiarity with data warehousing, ETL processes, and BI tools. Experience with SAP systems is a strong plus.
Communication Skills: Excellent verbal and written communication skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders. Fluent English.
Education: Bachelor s degree in Business Administration, Information Technology, Data Science, or a related field. A Master s degree is preferred.
How you will contribute
Project Leadership: Lead the end-to-end Data Analytics delivery in AMEA within S4o9 transformation program, ensuring alignment with business objectives and timelines.
Stakeholder Management: Act as the primary liaison between Regional functional teams and Global business and technical teams, ensuring clear communication and understanding of requirements.
Team Management: Build and lead a high-performing team of data and analytics professionals, providing guidance, mentorship, and support.
Reporting: Establish and maintain governance frameworks and reporting mechanisms to ensure transparency and accountability on AMEA Data Analytics deliverables throughout the S4o9 transformation process.
Risk Management: Identify and mitigate risks associated with the transformation project, ensuring minimal disruption to business operations.
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
Mondelez India Foods Private Limited (formerly Cadbury India Ltd.) has been in India for over 70 years, making sure our mouth-watering and well-loved local and global brands such as Cadbury chocolates, Bournvita and Tang powdered beverages, Oreo and Cadbury Bournvita biscuits, and Halls and Cadbury Choclairs Gold candies get safely into our customers hands and mouths. Headquartered in Mumbai, the company has more than 3,300 employees proudly working across sales offices in New Delhi, Mumbai, Kolkata and Chennai and in manufacturing facilities at Maharashtra, Madhya Pradesh, Himachal Pradesh and Andhra Pradesh, at our global Research Development Technical Centre and Global Business Hub in Maharashtra and in a vast distribution network across the country. We are also proud to be recognised by Avatar as the Best Companies for Women in India in 2019 - the fourth time we ve received this award.
Mondel z 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
Employment Type: Full Time, Permanent
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