Master Data & Analytics Lead India

Mondelēz International

Maharashtra

On-site

INR 4,000,000 - 7,000,000

Full time

2 hours ago
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Job summary

Mondelēz International in India seeks a Senior Master Data & Governance Lead to own end-to-end master data across the India value chain. You will build the golden record, govern data across O9, S4/HANA, and CPS, and drive data quality, interlocks, and automated MIS to enable digital transformation.

You will lead data governance forums, define RACI, and partner with regional teams to eliminate data leakage while ensuring compliance with DAMA‑DMBOK standards.

Qualifications

  • Minimum 5 years in master data management and data governance, with at least 2 years in a leadership capacity.
  • Transformation: led data workstreams in large-scale ERP / digital transformations, SAP S4/HANA strongly preferred.
  • Hands-on experience with supply chain planning platforms (O9, SAP APO, IBP, or equivalent).
  • Deep expertise in data governance frameworks (DAMA-DMBOK, DCAM) and golden record / MDM strategies.
  • Working knowledge of Google Cloud Platform / BigQuery; experience with automated MIS and data quality dashboards.
  • FMCG / CPG industry background strongly preferred; understanding of end-to-end supply chain.
  • Bachelor's / Master's in Engineering, Computer Science, Information Systems, or related discipline.

Responsibilities

  • Build & Govern the Single Source of Truth
  • Architect and implement an authoritative master data repository ensuring all systems (O9, S4/HANA, CPS) consume from one golden record
  • Establish master data as the unbreakable backbone for all digital transformation initiatives — zero exceptions, zero workarounds
  • Define golden record strategy for every data domain; eliminate duplicates, inconsistencies, and shadow data across the enterprise
  • Drive 100% master data completeness and accuracy as a non-negotiable KPI for every system go-live
  • Lead Across Plan–Make–Source–Deliver
  • Own master data end-to-end across the India value chain; eliminate data leakage; build system interlocks
  • Implement real-time data quality monitoring with automated alerts and escalation protocols for critical exceptions
  • Conduct regular data health audits across sites and enforce corrective action within SLAs
  • Rationalize data flows and enable automated MIS across enterprise systems
  • Drive Enterprise Data Governance with Data Stewards, Data Owners, and Function Champions across SCM, Finance, and Manufacturing
  • Define and enforce RACI for every master data domain; run governance forums and provide scorecards & trends

Skills

Leadership
MDM
Data governance
Analytics

Education

Bachelor's / Master's in Engineering, Computer Science, Information Systems, or related discipline

Tools

O9
S4/HANA
Google Cloud Platform / BigQuery

Job description

Job Description

Are You Ready to Make It Happen at Mondelēz International?


Join our Mission to Lead the Future of Snacking. Make It With Pride.


Key Responsibilities


  • Build & Govern the Single Source of Truth

  • Architect and implement an authoritative master data repository ensuring all systems (O9, S4/HANA, CPS) consume from one golden record

  • Establish master data as the unbreakable backbone for all digital transformation initiatives — zero exceptions, zero workarounds

  • Define golden record strategy for every data domain; eliminate duplicates, inconsistencies, and shadow data across the enterprise

  • Drive 100% master data completeness and accuracy as a non-negotiable KPI for every system go-live

  • Lead Across Plan–Make–Source–Deliver


You will own master data end-to-end across the entire India value chain — not just one function, not just one system. Every leg of the supply chain depends on you:



  • Eliminate Data Leakages & Build System Interlocks

  • Partner with Regional D&A team to systematically identify and eliminate every data leakage point across all source systems

  • Build mandatory system interlocks at source — validation rules, mandatory fields, automated data quality gates — that prevent incorrect or incomplete data entry from ever reaching downstream systems

  • Implement real-time data quality monitoring with automated alerts and escalation protocols for every critical exception

  • Conduct regular data health audits across all 17 sites (4 own + 13 EM) and enforce corrective action within defined SLAs

  • Simplify Data Flows & Enable Automated MIS

  • Rationalize and simplify data flows between systems — eliminate every manual handoff, every spreadsheet bridge, every reconciliation nightmare

  • Ensure automated MIS is fully operational — real-time master data health dashboards visible to leadership and functional teams at all times

  • Drive all relevant master data to sit in Google Cloud as the enterprise-wide central data lake, accessible, governed, and trusted by all consuming applications

  • Design and deploy data pipelines that ensure automated synchronization across O9, S4/HANA, CPS, and Google Cloud with zero manual intervention

  • Drive Enterprise Data Governance

  • Establish a robust governance operating model with appointed Data Stewards, Data Owners, and Function Champions across Supply Chain, Procurement, Commercial, Finance, and Manufacturing

  • Define and enforce RACI for every master data domain — clear accountability, no grey zones, no exceptions

  • Run monthly data governance forums with senior functional leadership; provide scorecards, trend analysis, and escalation recommendations

  • Institutionalize data governance culture — training, change management, and embedding data ownership into functional performance frameworks

  • Lead Enterprise Transformation Programs


O9 — Supply Chain Planning Platform

SAP S4/HANA — ERP Transformation

CPS — Consumer Planning System

QUALIFICATIONS & EXPERIENCE

Experience

Minimum 5 years in master data management and data governance, with at least 2 years in a leadership capacity


Transformation

Proven track record of leading data workstreams in large-scale ERP / digital transformations, SAP S4/HANA strongly preferred


Planning Tools

Hands‑on experience with supply chain planning platforms (O9, SAP APO, IBP, or equivalent)


Governance

Deep expertise in data governance frameworks (DAMA-DMBOK, DCAM) and golden record / MDM strategies


Cloud & Analytics

Working knowledge of Google Cloud Platform / BigQuery; experience with automated MIS and data quality dashboards


Industry

FMCG / CPG industry background strongly preferred; understanding of end-to-end supply chain is essential


Education

Bachelor's / Master's in Engineering, Computer Science, Information Systems, or related discipline


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.


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


Data Science


Analytics & Data Science

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