Overview:
Leading a team of skilled data scientists and analysts,

• Develop and execute a comprehensive Advanced Analytics strategy and roadmap for CCBJI Supply Chain, aligned with the organization's overall SBP, ABP goals and objectives.
• Leverage existing and emerging supply chain operational data, apply advanced AI and ML techniques, proactively design, develop, and deploy innovative data science solutions in order to;

o Identify new cost saving opportunities
.o Improve productivity and reduce cost
.o Generate actionable insights for Data Driven decision
so Enable intelligent decision support capabilities

.
Support the achievement of CCBJI SBP, ABP and Supply Chain Operational KP

Is
Responsibiliti


es:
Team Leaders

hip:

• Lead and mentor a team of data scientists and analysts, providing guidance, coaching, and professional development opportunit

ies.· Foster a collaborative and innovative team culture that encourages knowledge sharing, learning, and gro

wth.
Advanced Analytics Stra

tegy:

• Develop and execute a comprehensive Advanced Analytics strategy for CCBJI Supply Chain, aligned with the organization's overall SBP, ABP goals and object

ives.· Identify opportunities and Implement data-driven strategies to leverage data analytics, machine learning, and optimization techniques to drive Supply Chain operational excell

ence.
Cross-Functional Collaboration & Leade
rs
hip:

• Collaborate closely with Supply Chain Operations (Logistics, Manufacturing, Planning, QSE), Commercial, Procurement, Finance, BS and HR teams to understand and assess business challenges, business requirements. Develop data-driven solutions that address complex supply chain issues for effective decision m

aking.· Communicate effectively with non-technical stakeholders, translating technical concepts into actionable insights to bring relevant solutions to operational team me
mbers.· Look for opportunities to use insights/datasets/code/models across other functions across

CCBJI.
Data Utili

zation:

• Transform complex CCBJI Supply Chain operational data into actionable insights to improve speed of decision making, efficiency and productivity by collaborating with cross-functional stakeh

olders.· Data Modeling and Database Ma
nagement:
Working closely with BS team Data Engineering & Modelling team, design and implement data models that accurately represent the Supply Chain processes and relatio
nships.· Working closely with BS teams, assess the effectiveness of data sources and data-gathering techniques for use on Supply Chain P
rojects· Collaborate with data engineers to design data pipelines and frameworks for seamless data integration and an
alysis.· Extract, clean, and preprocess large and complex datasets from various sources, ensuring data accuracy and reliability for use in analytical models and r

eports.
Solution Deve

lopment:

• Lead and actively design, develop and deploy Supply Chain Advanced Analytics models and AI/ML Descriptive, Predictive, Prescriptive Solutions to generate actionable insights for Supply Chain ope

rations.· Some example projects / opport
unities.o S&OI Problem Solving and Decision Support - AI based intelligent decision support solutions for Data Driven decision in S&OI daily, weekly monthly r
outines.o Control Towers with AI driven Root Cause Analysis, actionable insights, alerts and recommended next actions for Supply Chain operations (Logistics, Manufacturing, P
lanning)o Predicting supply chain disruptions, equipment failures, or quality
issues.o Inventory Flow Effectiveness - Slow Moving Inventory R
eductiono GenAI Inventory Application - Analytics & Inte
lligenceo Machine Learning models for Manufacturing predictive / condition-based main
tenance.o Dynamic inventory sourcing for Customer Order Fulfillment as necessary from multiple supply locations taking into account MLSR and NOS
B rules.o Dynamic decision support solutions for transport opti
mizationo Operational Spending (OPEX) Analytics for Supply Chain operations (Logistics, Manufacturing, P
lanning)o Insights analytics for Continuous Improvement activities, OE (Operational Excellence), iCards , Quality & Safety I
ncidents· Collecting, cleaning, and deep analyzing Supply Chain data utilizing statistical analysis and machine learning techniques (demand, production, supply, inventory, deployment, customer distribution) to identify trends, patterns and anomalies in operational activities to provide so
lutions,· Conduct research from which you'll develop prototypes and proof of c

oncepts.· Data Analytics and Reporting:
Creating dashboards, reports, and data visualizations that provide insights into supply chain performance. These insights support decision-makers in identifying bottlenecks, optimizing processes, and making informed strategic choices.

• Process Automation: Implementing automation solutions to streamline repetitive tasks and reduce manual intervention in data processing and re

porting.· Stay curious and enthusiastic about using algorithms to solve problems and support others to understand and utilize the outputs effe

ctively.
Project Ma

nagement:

• Manage end-to-end analytics projects, including scoping, resource allocation, timeline management, and

delivery.· Ensure that projects are delivered on time and within scope, while maintaining the highest quality s

tandards.
Performance Monitoring and Im

provement:

• Implement robust monitoring processes to track the performance of analytics solutions and models over time, ensuring ongoing accuracy and

relevance.· Proactively identify areas for improvement and refine models based on new data and changing business c
onditions.
Innovation and Continuous

Learning:

• Stay abreast of emerging trends, tools, and methodologies in data science, analytics, and supply chain m

anagement.· Encourage a culture of innovation within the team, promoting the exploration of new technologies and a

pproaches.
Re


quirements:
Qu

alifications

• Degree in Data Science, Operations Research, Statistics, Computer Science, or r

elated field.· 5+ years of relevant experience in supply chain analytics, with a proven track record of delivering impactful solutions in
FMCG company.· Operational system experts with comprehensive knowledge & experience in SCM within bever

age industry.
Technica

l Competencies
・ Demonstrated advanced expertise in Data Analytics, Statistics, Machine Learning Engineering, creating and running Machine Learning Operations, Optimization & Simulation algorithms, , Python, R, SQL and practica
l applications.・ High level proficiency in Azure Synapse, Databricks and other similar data solution develop
ment platforms.・ Experience with data visualization tools such as Streamlit, Web Application Development , Tableau, Power BI to communicate insigh
ts effectively.・ A solid understanding of Supply Chain processes concepts, including demand forecasting, inventory control, procurement, and logistics and business acumen is essential to effectively translate technical solutions into meaningful insights for th
e organization.・ Effective communication skills to convey their findings and recommendations to both technical and non-technica
l stakeholders.・ Excellent problem-solving skills and ability to think critically in a fast-paced environment and a strategic mindset to identify opportunities for proces
s optimization.・ Utilizing data-driven approaches and sophisticated analytical techniques to optimize various aspects of th

e supply chain.
Behavio

ral Competen
cies

• Leadership
• Building people capability, managing performance, transferring kn

owledge to others

Change Management

Planning & Executing, Action Management, Ability to deliver under pressure and to
tight deadlines.

Orientation to Excellence, great at
tention to detail

Problem Solving
, Decision Making

Personal drive and the resilience to try new ideas if the first one doesn't work - you'll be expected to work with minimal supervision, so it's important that you're able to m
otivate yourself.

Building Partnerships and Strategic Worki
ng Relationships.

Communication, Collaboration, Influen
cing, Negotiation

Exceptional communication and presentation skills in order to explain your work to people who don't understand the mechanics behi
nd data analysis.

Effective listening skills in order to understand the requirements
of the business.

Teamworking skills and a collaborative approach to sharing ideas and f

inding solu
tions.

Work style:

F
ull-time position.

Office-based or hybrid work environment, depending on the
company's policy.

Some travel may be required, particularly for meetings with stakeh

olders or vendors.
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